CN114697642A - Image sensor sensitivity testing method and device - Google Patents

Abstract

The present invention provides a method and device for testing the sensitivity of an image sensor. The method for testing the sensitivity of an image sensor includes: acquiring a target triggering boundary parameter set corresponding to a target image sensor in the case of detecting a target object; The test results under each candidate parameter in the boundary parameter set are used to determine the target test parameters; based on the target test parameters, the sensitivity of the target image sensor is tested; wherein, the target trigger boundary parameter set corresponds to the target image sensor in the case of triggering motion detection the set of said candidate parameters. The image sensor sensitivity test method of the present invention can improve the accuracy, precision and detection efficiency of the detection result by integrating the influencing factors of multiple dimensions that affect the motion detection during sensitivity detection, thereby improving the success rate of detection.

Description

Image sensor sensitivity testing method and device

technical field

The present invention relates to the technical field of image sensors, and in particular, to a method and device for testing the sensitivity of an image sensor.

Background technique

Image sensitivity is a necessary detection item for image sensor products and an important indicator to measure product quality. In the related art, the sensitivity detection of the image sensor is mainly performed by subjective testing methods such as naked eye detection, which is time-consuming and inaccurate in detection results.

SUMMARY OF THE INVENTION

The present invention provides a method and device for testing the sensitivity of an image sensor, which are used to solve the defects of time-consuming and inaccurate detection results of the sensitivity detection of the image sensor in the prior art, and improve the detection accuracy.

The present invention provides a method for testing the sensitivity of an image sensor, comprising:

Obtain the target trigger boundary parameter set corresponding to the target image sensor in the case of detecting the target object;

Determine the target test parameters based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set;

Based on the target test parameters, test the sensitivity of the target image sensor;

The target trigger boundary parameter set is a set of the candidate parameters corresponding to the target image sensor when motion detection is triggered.

According to an image sensor sensitivity test method provided by the present invention, the target test parameters include: at least one of the target test distance, the target test speed, the target test area, the target test color and the target test frame rate; the target test parameters are determined, including :

Based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set, determine the target test distance, target test speed and target test area from the target trigger boundary parameter set;

Determine the target test color based on the target test distance, target test speed and target test area;

Based on the target test distance, the target test speed, the target test area and the target test color, the target test frame rate is determined.

According to an image sensor sensitivity test method provided by the present invention, based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set, the target test distance, target test speed and target test area are determined from the target trigger boundary parameter set ,include:

Obtaining the maximum first area and the minimum first area of the target object at the target distance when the target image sensor detects the target object located at the target distance within the target trigger boundary parameter set when the motion detection is triggered; and triggering the motion detection Time measurement of the maximum first speed and the minimum first speed of the target object at the target distance;

Obtain the motion detection data of the target object in the target area at the target distance when the target image sensor detects the target object moving based on the target speed when the motion detection is triggered, wherein the target speed is at the maximum first speed and the minimum first speed. Between the speeds, the target area is between the maximum first area and the minimum first area;

When the motion detection data is not lower than the target detection threshold, the target speed corresponding to the motion detection data is determined as the target test speed, the target speed corresponding to the motion detection data is determined as the target test distance, and the motion detection data is determined as the target test distance. The target area corresponding to the data is determined as the target test area.

According to an image sensor sensitivity test method provided by the present invention, the target test color is determined based on the target test distance, the target test speed and the target test area, including:

When the target image sensor detects a target object located at the target test distance and moves based on the target test area of the target test speed, the color value of the target object when motion detection is not triggered is determined as the target test color.

According to an image sensor sensitivity test method provided by the present invention, the target triggering boundary parameter set includes: target triggering distance, target triggering area and target triggering speed; obtain the target triggering boundary parameters corresponding to the target image sensor in the case of detecting the target object set, including:

When the target image sensor detects the target object, the minimum distance between the target object and the target image sensor when the motion detection is triggered and the maximum distance between the target object and the target image sensor are determined as the target trigger distance;

When the target image sensor detects the target object located at the minimum distance, the minimum second area of the target object when the motion detection is triggered; and when the target image sensor detects the target object located at the maximum distance, the motion detection is triggered. The largest second area of the time-measured target object is determined as the target trigger area;

In the case where the target image sensor detects the target object with the minimum second area at the minimum distance, the minimum second speed of the target object when the motion detection is triggered; and the target image sensor detects the maximum second area at the maximum distance. In the case of the target object, the maximum second speed of the target object when the motion detection is triggered is determined as the target trigger speed.

According to an image sensor sensitivity test method provided by the present invention, based on target test parameters, the sensitivity of the target image sensor is tested, including:

Based on the target test parameters, generate standard parameters for motion detection;

Acquiring the motion detection information of the target image sensor under the standard parameters of the motion detection;

The motion detection information is output.

The present invention also provides an image sensor sensitivity testing device, comprising:

The first processing module is used to obtain the target trigger boundary parameter set corresponding to the target image sensor in the case of detecting the target object;

The second processing module is configured to determine target test parameters based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set;

The third processing module is used to test the sensitivity of the target image sensor based on the target test parameters;

The target trigger boundary parameter set is a set of the candidate parameters corresponding to the target image sensor when motion detection is triggered.

The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, when the processor executes the program, the sensitivity of the image sensor as described in any one of the above-mentioned images is realized when the processor executes the program. testing method.

The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements any one of the above-mentioned image sensor sensitivity testing methods.

The present invention also provides a computer program product, including a computer program, which implements any one of the above-mentioned image sensor sensitivity testing methods when the computer program is executed by a processor.

The image sensor sensitivity test method and device provided by the present invention generate target test parameters by fusing the influence factors of multiple dimensions affecting motion detection during sensitivity detection, and perform sensitivity test based on the target test parameters, so as to improve the accuracy of detection results. Accuracy, precision and detection efficiency can improve the success rate of detection.

Description of drawings

In order to explain the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are of the present invention. For some embodiments of the present invention, for those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.

1 is a schematic flowchart of a method for testing the sensitivity of an image sensor provided by the present invention;

Fig. 2 is one of the principle schematic diagrams of the image sensor sensitivity test method provided by the present invention;

3 is the second schematic diagram of the principle of the image sensor sensitivity testing method provided by the present invention;

FIG. 4 is the third schematic diagram of the method for testing the sensitivity of the image sensor provided by the present invention;

5 is a schematic structural diagram of an image sensor sensitivity testing device provided by the present invention;

FIG. 6 is a schematic structural diagram of an electronic device provided by the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The image sensor sensitivity testing method of the present invention will be described below with reference to FIGS. 1 to 3 .

It should be noted that the execution body of the image sensor sensitivity testing method may be an image sensor sensitivity testing device, or may also be a server.

As shown in FIG. 1 , the image sensor sensitivity testing method includes: step 110 , step 120 and step 130 .

Step 110: Obtain the target trigger boundary parameter set corresponding to the target image sensor in the case of detecting the target object, wherein the target trigger boundary parameter set is the set of candidate parameters corresponding to the target image sensor in the case of triggering motion detection ;

In this step, the target image sensor is an image sensor that needs to perform sensitivity detection, for example, a camera or a camera device that needs to perform sensitivity detection.

The target object is the image acquisition object of the target image sensor during image acquisition during the test process, and the target object can be any solid color object, such as black or red objects.

It can be understood that in the actual execution process, the target object is moved based on a certain speed, and the image information corresponding to the target object is collected by the target image sensor according to a certain frame rate, and the computer calculates and compares according to a certain algorithm. to generate test results. For example, when it is detected that there is a change in the picture (for example, when the position of the target object in different image frames is detected to change), it is determined that the motion detection is triggered; or when no change in the picture is detected, it is determined that it is not triggered. Motion Detection.

The target trigger boundary parameter set is a set of all candidate parameters involved in the case of triggering motion detection when the target image sensor detects a target object, including trigger boundary parameters and parameters between the trigger boundary parameters.

Among them, the alternative parameters are the factor values that affect the motion detection, including but not limited to: the distance between the target image sensor and the target object, the area of the target object (that is, the effective area collected by the target image sensor), and the movement of the target object speed etc.

In the actual execution process, by adjusting the positional relationship between the target image sensor and the target object, adjusting the moving speed of the target object and the area of the target object, etc., a set of candidate parameters for each triggering of motion detection are recorded respectively, so as to be able to Wait until there are multiple sets of candidate parameters, that is, the target trigger boundary parameter set.

Step 120: Determine target test parameters based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set;

In this step, the test result is used to characterize the effect of the target image sensor triggering motion detection.

The target test parameters may include but are not limited to: target test distance, target test speed, target test area, target test color, target software parameters and target test frame rate and other parameters of different categories;

It should be noted that different categories of target test parameters may have different corresponding test results.

The first category of target test parameters is the parameter value that can achieve the best motion detection among all parameters of the same category when the target image sensor triggers motion detection, that is, the sensitivity of the target image sensor can be successfully detected. The parameter value when the rate reaches its maximum value.

The target test parameter of the second category is the parameter value that cannot trigger motion detection and needs to be eliminated. After eliminating the target test parameter of the second category, by eliminating the The other parameter values are combined with the target test parameters of the first category to achieve the best motion detection.

Among them, to achieve the best motion detection, when the target image sensor collects the image information corresponding to the target object moving based on a certain motion speed according to a certain frame rate, the computer output data based on the comparison results of consecutive image frames. The error value is less than the target error range, that is, the motion detection data is not lower than the target detection threshold; among them, the target error range and target detection threshold can be customized based on the user

For example, the target test distance is the distance between the target image sensor and the target object under the condition of achieving the best motion detection;

The target test speed is the moving speed value of the target object under the condition of achieving the best motion detection;

The target test area is the area of the target object under the condition of achieving the best motion detection;

The target test color is the color value of the surface of the target object when motion detection cannot be triggered;

The target software parameters are the software parameters in the case of realizing the best motion detection;

The target test frame rate is the acquisition frame rate corresponding to the target image sensor in the case of achieving the best motion detection.

In the actual execution process, any candidate parameter in the target trigger boundary parameter set can be selected, the sensitivity of the target image sensor can be detected, and the test results of each time can be recorded, and the test institute with the best motion detection effect can be selected from these test results. The corresponding set of candidate parameters are used as the target test distance, target test speed and target test area in the target test parameters; and then based on the target test distance, target test speed and target test area Determine the target test color, Target software parameters and target test frame rate.

Step 130: Test the sensitivity of the target image sensor based on the target test parameters.

In this step, it should be noted that under the set sensitivity of the target image sensor, the image change screen that can be recognized needs to occupy the corresponding target threshold value, so that the alarm of the screen change can be triggered.

In the actual execution process, after the target test parameters are obtained, the standard parameters of motion detection can be determined based on the target test parameters, and multiple tests are performed to test the sensitivity of the target image sensor.

The standard parameters of motion detection are a set of parameter values corresponding to the case where the target image sensor has the highest success rate of triggering motion detection.

In some embodiments, the sensitivity of the target image sensor in different environmental modes can also be tested based on different environmental modes.

For example, in day mode and night mode, the standard parameters of motion detection are determined based on the target test parameters, and the sensitivity of the target image sensor is tested.

In other embodiments, the sensitivity test of the target image sensor may also be performed based on different sensitivity gears.

For example, under different sensitivity gears such as high, medium and low, use the target test parameters to determine the standard parameters of motion detection to conduct multiple tests, and record the test results.

According to the image sensor sensitivity test method provided by the embodiment of the present invention, target test parameters are generated by fusing the influencing factors of multiple dimensions that affect motion detection during sensitivity detection, and sensitivity test is performed based on the target test parameters, so as to improve the detection result The accuracy, precision and detection efficiency can be improved, so as to improve the success rate of detection.

In some embodiments, the target trigger boundary parameter set includes: target trigger distance, target trigger area and target trigger speed; step 110 may include:

When the target image sensor detects the target object, the minimum distance between the target object and the target image sensor when the motion detection is triggered and the maximum distance between the target object and the target image sensor are determined as the target trigger distance;

When the target image sensor detects the target object located at the minimum distance, the minimum second area of the target object when the motion detection is triggered; and when the target image sensor detects the target object located at the maximum distance, the motion detection is triggered. The largest second area of the time-measured target object is determined as the target trigger area;

In the case where the target image sensor detects the target object with the minimum second area at the minimum distance, the minimum second speed of the target object when the motion detection is triggered; and the target image sensor detects the maximum second area at the maximum distance. In the case of the target object, the maximum second speed of the target object when the motion detection is triggered is determined as the target trigger speed.

In this embodiment, the target trigger distance is used to represent the distance interval between the target image sensor and the target object under the condition that the target image sensor can trigger motion detection;

Among them, the maximum distance is used to represent the maximum distance between the target image sensor and the target object when the target image sensor can trigger motion detection; the minimum distance is used to represent the target image sensor when the target image sensor can trigger motion detection. The minimum distance from the target object.

The target trigger area is used to represent the area size range of the target object when the target image sensor can trigger motion detection;

Among them, the minimum second area is used to represent the minimum area of the target object (ie, the minimum effective area) when the target image sensor can trigger motion detection; the maximum second area is used to represent the target image sensor can trigger motion detection. In this case, the maximum area of the target object (that is, the maximum value of the effective area).

The target trigger speed is used to represent the moving speed range of the target object when the target image sensor can trigger motion detection;

Among them, the minimum second speed is used to represent the minimum value of the moving speed of the target object when the target image sensor can trigger motion detection; the maximum second speed is used to represent the target image sensor can trigger motion detection. The maximum movement speed.

It should be noted that, as shown in Figure 3, the priority of the motion detection sensitivity factor is: frame rate has priority over software parameters, software parameters have priority over color, color has priority over speed, speed has priority over area, and area has priority over distance.

That is, the most profound factor affecting motion detection is the frame rate of the target image sensor, followed by software parameters, the color of the target object, the moving speed of the target object, the lens area of the target object, and the distance between the target object and the target image sensor. the distance.

The software design needs to select the best values for software parameter debugging according to the performance of different object colors, moving speeds, object lens areas and object distances. target image sensor.

It is understandable that in the process of testing parameters debugging, it is necessary to sequentially determine distance, area, speed, color, software parameters and frame rate, so that the best test model can be obtained faster and more accurately.

The specific determination methods of the target triggering distance, the target triggering area and the target triggering speed will be described below.

First, the determination of the minimum distance

In the actual execution process, a dark (such as black) target object with a unit area can be used to move at a unit speed at a unit distance from the target image sensor, and detect whether the target image sensor triggers detection.

Among them, the unit distance is a sufficiently small distance, and the unit distance can generally be customized based on the user, such as 1cm or 0.5cm, etc.; the unit area is a small enough area, and the unit area can be customized based on the user, such as 0.1cm ² Or 0.5cm ² , etc.; the unit speed is a sufficiently small speed, and the unit speed can be customized based on the user, for example, set to 0.1cm/s, etc., which is not limited in the present invention.

It can be understood that, in the actual execution process, the determination of the unit distance, the unit area and the unit speed can be determined based on the actual test environment.

If motion detection can be triggered, continue to shorten the distance between the target object and the target image sensor, until the detection cannot be triggered, then record the distance between the target object and the target image sensor at this time;

If the motion detection cannot be triggered, speed up the unit speed step by step until the detection is triggered, then record the distance between the target object and the target image sensor at this time;

If the detection still cannot be triggered after increasing the unit speed, increase the area of the target object based on the unit area step by step until the detection is triggered, then record the distance between the target object and the target image sensor at this time;

If the detection cannot be triggered by increasing the area of the target object, increase the distance between the target object and the target image sensor in stages based on the unit distance, until the current distance between the target object and the target image sensor is recorded when the detection is triggered, from Select the smallest distance among the recorded distances.

Second, the determination of the maximum distance

In the actual execution process, a dark (eg black) target object with a unit area can be used to move at a unit speed at a first distance from the target image sensor, and it is detected whether the target image sensor triggers detection.

The first distance is a sufficiently far distance, and the first distance may be user-defined, for example, set to 2m or 2.05m, and the first distance may also be determined based on the actual test environment.

If motion detection can be triggered, continue to increase the distance between the target object and the target image sensor until the detection cannot be triggered, then record the distance between the target object and the target image sensor at this time;

If the motion detection cannot be triggered, speed up the unit speed step by step until the detection is triggered, then record the distance between the target object and the target image sensor at this time;

If the detection cannot be triggered even after the unit speed is increased, the area of the target object will be increased in stages based on the unit area until the detection is triggered, and then the distance between the target object and the target image sensor will be recorded at this time;

If increasing the area of the target object still fails to trigger detection, reduce the distance between the target object and the target image sensor in stages based on the unit distance, until the current distance between the target object and the target image sensor is recorded when the detection is triggered. Select the largest distance from the recorded distances.

3. Determination of the minimum second area

Continue to use a dark (such as black) target object with a unit area to move at a unit speed at the minimum distance from the target image sensor, and detect whether the target image sensor triggers detection.

If the detection can be triggered, continue to reduce the area until the detection cannot be triggered, then record the area of the target object at this time;

If the detection cannot be triggered, the moving speed of the target object will be accelerated in stages based on the unit speed until the detection is triggered, and the area of the target object at this time will be recorded;

If the detection cannot be triggered even after the unit speed is increased, increase the area of the target object step by step based on the unit area until the detection is triggered, then record the area of the target object at this time, and select the smallest area from the recorded areas as the smallest Two area.

4. Determination of the largest second area

Continue to use a dark (such as black) target object with a unit area to move at a unit speed at the maximum distance from the target image sensor, and detect whether the target image sensor triggers detection.

If the detection can be triggered, continue to increase the area until the detection cannot be triggered, then record the area of the target object at this time;

If the detection cannot be triggered, the speed of the target object is increased in stages based on the unit speed until the detection is triggered, and the area of the target object at this time is recorded;

If the detection still cannot be triggered after increasing the unit speed, reduce the area of the target object in stages based on the unit area until the detection is triggered, then record the area of the target object at this time, and select the largest area from the recorded areas as the largest Two area.

5. Determination of the minimum second speed

Continue to use a dark (such as black) target object with a unit area to move at a unit speed at the minimum distance from the target image sensor, and detect whether the target image sensor triggers detection.

If the detection can be triggered, continue to reduce the speed until the detection cannot be triggered, then record the speed of the target object at this time;

If the detection cannot be triggered, the speed will be increased step by step based on the unit speed, the current speed will be recorded when the detection is triggered, and the minimum speed will be selected as the minimum second speed from the recorded speeds.

6. Determination of the maximum second speed

Continue to use a dark (such as black) target object with a unit area to move at a unit speed at the maximum distance from the target image sensor, and detect whether the target image sensor triggers detection.

If the detection can be triggered, continue to increase the speed based on the unit speed, until the detection cannot be triggered, then record the speed of the target object at this time;

If the detection cannot be triggered, continue to reduce the speed until the speed of the target object is recorded when the detection is triggered, and the maximum speed is selected as the maximum second speed from the recorded speeds.

In some embodiments, the target test parameters include: at least one of target test distance, target test speed, target test area, target test color and target test frame rate, and step 120 may include:

Based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set, determine the target test distance, target test speed and target test area from the target trigger boundary parameter set;

Determine the target test color based on the target test distance, target test speed and target test area;

Based on the target test distance, the target test speed, the target test area and the target test color, the target test frame rate is determined.

In this embodiment, the target test distance is the distance value between the target image sensor and the target object under the condition of achieving the best motion detection;

The target test speed is the moving speed value of the target object under the condition of achieving the best motion detection;

The target test area is the area of the target object under the condition of achieving the best motion detection;

The target test color is the color value of the surface of the target object when motion detection cannot be triggered;

The target test frame rate is the acquisition frame rate corresponding to the target image sensor in the case of achieving the best motion detection.

Among them, the best motion detection can be expressed as the motion detection output by the computer based on the comparison results of consecutive image frames when the target image sensor collects the image information corresponding to the target object moving based on a certain motion speed at a certain frame rate. The data is not lower than the target detection threshold, where the target detection threshold can be user-defined.

Figure 2 shows a schematic diagram under motion detection, where o is the entire plane where the target image sensor is located, and the frame rate of the target image sensor is Fi;

Ls is the set from the minimum distance to the maximum distance, where L1 is the minimum distance, L2 is the maximum distance, and Li is any point in Ls, usually Ls=[0.5,5] (unit: meter), that is, L1≤Li≤L2;

P1 is the smallest effective area, the area of P1 should not be less than the smallest second area, P2 is the largest effective area, the area of P2 should not be less than the largest second area, Pi is the effective area on Li, that is, P1≤Pi≤P2; , the effective area is determined based on the field of view of the target image sensor, and the straight line formed by the connection between the center of Pi and the target image sensor is perpendicular to the plane where Pi is located.

It can be understood that, in other embodiments, Pi may not be set, and the test can be performed only by ensuring that the target object is within the field of view of the target image sensor.

As shown in FIG. 4 , Cs is a color set, which can be divided into shades and corresponding common colors, such as but not limited to: red, orange, yellow, green, cyan, blue, purple, black and white; in some embodiments , can also be refined into RGB255; Ci is any color in Cs;

It should be noted that the color value included in Cs may or may not trigger motion detection. In the subsequent execution process, the color value in Cs needs to be eliminated based on the target test distance, target test speed, and target test area.

Ss is the set of effective areas of the target object, and Si is any one of the area values.

In the actual test process, a target object with an area of Si can be selected and placed on the plane Pi to move with the vector Vi, usually Ss=[4,600] (unit: square centimeter), Vs=[0.5, 2.5] (unit : m/s).

Among them, i is the number of times. In the actual execution process, after the target trigger boundary parameter set is determined, the optimal candidate parameter values can be further screened from the target trigger boundary parameter set.

For example, the optimal Vi can be determined first, and the optimal Li and Si under the Vi can be determined based on the optimal Vi, so as to obtain the first motion detection success rate function W(Vi, Si, Li), where the optimal The Vi is the target test speed, the Si corresponding to the optimal Vi is the target test area, and Li is the target test distance.

Wherein, the output value of the first motion detection success rate function W(Vi, Si, Li) is the first success rate of sensitivity detection under the action of Vi, Si and Li.

The first success rate can be determined based on the number of test successes and failures by performing multiple tests on the same set of candidate parameters.

Then, based on the first motion detection function W(Vi, Si, Li), the performance of Cs under the first motion detection function W(Vi, Si, Li) is detected to eliminate abnormal Ci values, wherein abnormal Ci values The value is the color value of the surface of the target object when the motion detection cannot be triggered under the first motion detection function W(Vi, Si, Li), and the abnormal Ci value is the target test color.

In the following, Ck will be used to represent any value in the Cs set after removing the abnormal Ci. It can be understood that Ck is used to represent the color value of the surface of the target object under the condition of achieving the best motion detection.

Among them, Ck=C(-i), and k is other times except i. After Ck is obtained, a second motion detection success rate function W(Vi, Si, Li, Ck) can be generated based on W(Vi, Si, Li) and Ck.

Wherein, the output value of the second motion detection success rate function W(Vi, Si, Li, Ck) is the second success rate of sensitivity detection under the action of Vi, Si, Li, and Ck.

The manner of determining the second success rate is similar to that of the first success rate, and details are not described herein.

Adjust software parameters based on W(Vi, Si, Li, Ck) to optimize the test model.

It should be noted that in this step, in the actual execution process, the result of W (Vi, Si, Li, Ck) can be compared with the specification or detailed design manual of the target image sensor to compare whether the parameters are consistent.

In the case of inconsistency, the software parameters are tuned according to the existing W (Vi, Si, Li, Ck) performance.

For example, for camera A, its corresponding product specification records that its detection distance L satisfies 1m≤L≤3m, and based on the second motion detection success rate function W (Vi, Si, Li, Ck), it is known that it is tested out 1m≤Li≤2m, the value of L is inconsistent with the value of Li, the software parameters need to be tuned based on the value of Li to update the software parameters.

In some embodiments, the software parameters can be tuned multiple times, and the second motion detection success rate function W (Vi, Si, Li, Ck) can be obtained for each optimized version. If the second motion detection success rate function W (Vi, Si, Li, Ck) cannot be satisfied after optimization, the frame rate of the target image sensor needs to be adjusted, and the current frame rate Fi is determined as the target test frame rate.

Thus, the third motion detection success rate function Wi (Vi, Si, Li, Ck, Fi) is obtained, and the sensitivity test in step 130 is performed based on the Wi (Vi, Si, Li, Ck, Fi).

Among them, the output value of the third motion detection success rate function Wi (Vi, Si, Li, Ck, Fi) is the third success rate of sensitivity detection under the action of Vi, Si, Li, Ck and Fi, that is, the final Detection success rate.

The manner of determining the third success rate is similar to that of the first success rate, and details are not described here.

In this embodiment, target test parameters of some categories are determined by debugging the candidate parameters, and target test parameters of other categories are determined based on the target test parameters of some categories, so that a set of parameters that can make the final detection success rate the highest can be obtained. The value is used as the standard parameter of motion detection to effectively improve the detection success rate in the subsequent sensitivity test process.

This step will be described below through specific embodiments.

In some embodiments, determining the target test distance, target test speed and target test area from the target trigger boundary parameter set based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set may include:

Obtaining the maximum first area and the minimum first area of the target object at the target distance when the target image sensor detects the target object located at the target distance within the target trigger boundary parameter set when the motion detection is triggered; and triggering the motion detection Time measurement of the maximum first speed and the minimum first speed of the target object at the target distance;

Obtain the motion detection data of the target object in the target area at the target distance when the target image sensor detects the target object moving based on the target speed when the motion detection is triggered, wherein the target speed is at the maximum first speed and the minimum first speed. Between the speeds, the target area is between the maximum first area and the minimum first area;

When the motion detection data is not lower than the target detection threshold, the target speed corresponding to the motion detection data is determined as the target test speed, the target speed corresponding to the motion detection data is determined as the target test distance, and the motion detection data is determined as the target test distance. The target area corresponding to the data is determined as the target test area.

In this embodiment, the motion detection data can be expressed as a success rate, and the target detection threshold can be set to a higher value.

The target distance is any distance between the maximum distance and the minimum distance, which can be represented by Li, where i represents the number of times, that is, Li identifies the distance between the target object and the target image sensor during the i-th test.

It can be understood that, in the actual execution process, Ls can be divided into a plurality of distances with the same interval based on the unit distance. In the test process, starting from L1, the unit distance is sequentially increased as the current target distance Li, and it ends when the current target distance Li increases to L2.

For each Li, each factor should be better than P(i-1), that is, the factors corresponding to the target object at the current distance detected by the target image sensor are better than the last time detected by the target image sensor. The factors of the target object during detection, that is, ensure that each time the area is slightly larger and the speed is slightly larger, until the detection cannot be triggered, and record the minimum and maximum values of the area and speed in each Pi. The maximum value of the area is the maximum first area, the minimum value of the area in each Pi is the minimum first area, the maximum value of the speed in each Pi is the maximum first speed, and the speed in each Pi is the maximum first speed. The minimum value is the minimum first speed.

Then carry out the screening factor. The screening factor is reverse screening. The first is speed. Check the performance of each factor combination at each speed to obtain the optimal performance at Vi or Vj, and the corresponding factors are Si, Li or Sj. , Lj, so as to obtain the target test speed, target test distance and target test area. For example, when the performance is optimal at Vi, Vi is determined as the target test speed, Si corresponding to Vi is determined as the target test area, and Li corresponding to Vi is determined as the target test distance.

It should be noted that the best performance at Vi can be expressed as when the target object moves based on Vi, the detection data output by the target image sensor is not lower than the target detection threshold, where the target detection threshold can be customized based on the user. .

That is, when the target object satisfies Vi, Si and Li, the detection success rate can be maximized.

In some embodiments, determining the target test color based on the target test distance, the target test speed and the target test area may include:

When the target image sensor detects a target object located at the target test distance and moves based on the target test area of the target test speed, the color value of the target object when motion detection is not triggered is determined as the target test color.

In this embodiment, after determining the target test speed Vi, the target test distance Li and the target test area Si under the Vi, the first motion detection success rate function W(Vi, Si, Li) can be generated.

Then, based on the first motion detection success rate function W(Vi, Si, Li), the performance of Cs under the first motion detection success rate function W(Vi, Si, Li) is detected to eliminate abnormal Ci values, and then Ck is used to represent any value in the Cs set after removing Ci.

Among them, abnormal Ci refers to that under a certain C value, the value of W (Vi, Si, Li) is the lowest or even zero, then i is used to record and exclude. Use W(Vi, Si, Li) to detect the performance of Cs, to obtain which Ci can not trigger detection, or are not easy to detect, record the abnormal Ci, and use C(-i) to characterize the excluded abnormal. Other color values after the Ci value, where C(-i)=Ck.

In some embodiments, step 130 may include:

Based on target test parameters, generate standard parameters for motion detection;

Obtain the motion detection information of the target image sensor under the standard parameters of motion detection;

Output motion detection information.

In this embodiment, the motion detection information is used to represent whether the target image sensor triggers motion detection under the standard parameters of motion detection.

The standard parameters of motion detection are a set of parameter values corresponding to the case where the target image sensor has the highest success rate of triggering motion detection.

It should be noted that the standard parameters of motion detection include at least one of target test distance, target test speed, target test area, target software parameters and target test frame rate, and the standard parameters of motion detection do not include target test color. .

That is, the standard parameters of motion detection can be determined from the target test distance, target test speed, target test area, target software parameters, target test frame rate and other arbitrary color values excluding the target test color.

In the actual execution process, the third motion detection success rate function Wi (Vi, Si, Li, Ck, Fi) can be used to perform N tests, and record whether the result of each test triggers motion detection. Among them, N is a positive integer, and the specific value of N can be user-defined.

Then count each test record, output motion detection information, and generate and output a sensitivity test report that can represent the performance of the target image sensor based on each motion detection information.

It should be noted that the success rate of the third motion detection success rate function Wi (Vi, Si, Li, Ck, Fi) in this embodiment is the success rate of each combination, and the initial value of each parameter value is determined based on the initial state. Is to make it slightly larger, or slightly smaller, only one variable can be changed at a time, and each adjustment needs to be tested for that combination.

For example, when Vi changes to Vj, the combination test is performed 100 times, and 60 times are successful, then the maximum value of the third success rate corresponding to the current Wi (Vj, Si, Li, Ck, Fi) is 60%, then the Vj is recorded, and in subsequent combinations, continue to use Vj for testing, that is, keep the value corresponding to Vj unchanged, and change other values for testing; for example, the detection cannot be triggered after Cs changes to the i value (for example, C turns yellow Afterwards, the detection cannot be triggered), that is, (Vj, Si, Li, Ci, Fi) is 0, then any value Ck in the Cs set after removing Ci is used to combine with other factors, that is, the subsequent need to exclude Ci (that is, excluding the yellow value), and continue to use Wi (Vj, Si, Li, Ck, Fi) for testing, and find that the third success rate corresponding to Wi (Vj, Si, Li, Ck, Fi) is close to 100% The combination, such as the combination with the third success rate exceeding 99%, is determined to be used for the special test of motion detection.

For example, the target image sensor can be tested for sensitivity in day mode and night mode, respectively. Among them, in the daytime mode, the sensitivity is selected to the high, medium and low gears in turn, and Wi (Vi, Si, Li, Ck, Fi) is used to perform N tests, and the result of each test is recorded whether the motion detection is triggered.

In the night mode, select the high, medium and low sensitivity in turn, use Wi (Vi, Si, Li, Ck, Fi) to perform N tests, and record whether the result of each test triggers motion detection.

Then count each test record and output a sensitivity test report representing the product performance.

According to the image sensor sensitivity test method provided by the embodiment of the present invention, target test parameters are generated by fusing factors affecting multiple dimensions of motion detection during sensitivity detection, and standard parameters of motion detection are generated based on the target test parameters, Sensitivity tests are performed under the standard parameters of motion detection to improve the accuracy and precision of detection results, thereby improving the success rate of detection.

The image sensor sensitivity testing apparatus provided by the present invention is described below, and the image sensor sensitivity testing apparatus described below and the image sensor sensitivity testing method described above can be referred to each other correspondingly.

As shown in FIG. 5 , the image sensor sensitivity testing apparatus includes: a first processing module 510 , a second processing module 520 and a third processing module 530 .

The first processing module 510 is used to obtain the target trigger boundary parameter set corresponding to the target image sensor in the case of detecting the target object;

The second processing module 520 is configured to determine target test parameters based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set;

a third processing module 530, configured to test the sensitivity of the target image sensor based on the target test parameter;

The target trigger boundary parameter set is a set of candidate parameters corresponding to the target image sensor when motion detection is triggered.

In some embodiments, the target test parameters include: at least one of the target test distance, the target test speed, the target test area, the target test color and the target test frame rate; the second processing module 520 can also be used for:

Based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set, determine the target test distance, target test speed and target test area from the target trigger boundary parameter set;

Determine the target test color based on the target test distance, target test speed and target test area;

Based on the target test distance, the target test speed, the target test area and the target test color, the target test frame rate is determined.

In some embodiments, the second processing module 520 can also be used to:

Obtaining the maximum first area and the minimum first area of the target object at the target distance when the target image sensor detects the target object located at the target distance within the target trigger boundary parameter set when the motion detection is triggered; and triggering the motion detection Time measurement of the maximum first speed and the minimum first speed of the target object at the target distance;

Obtain the motion detection data of the target object in the target area at the target distance when the target image sensor detects the target object moving based on the target speed when the motion detection is triggered, wherein the target speed is at the maximum first speed and the minimum first speed. Between the speeds, the target area is between the maximum first area and the minimum first area;

When the motion detection data is not lower than the target detection threshold, the target speed corresponding to the motion detection data is determined as the target test speed, the target speed corresponding to the motion detection data is determined as the target test distance, and the motion detection data is determined as the target test distance. The target area corresponding to the data is determined as the target test area.

In some embodiments, the second processing module 520 can also be used to:

When the target image sensor detects a target object located at the target test distance and moves based on the target test area of the target test speed, the color value of the target object when motion detection is not triggered is determined as the target test color.

In some embodiments, the target trigger boundary parameter set includes: target trigger distance, target trigger area, and target trigger speed; the first processing module 510 can also be used for:

When the target image sensor detects the target object, the minimum distance between the target object and the target image sensor when the motion detection is triggered and the maximum distance between the target object and the target image sensor are determined as the target trigger distance;

When the target image sensor detects the target object located at the minimum distance, the minimum second area of the target object when the motion detection is triggered; and when the target image sensor detects the target object located at the maximum distance, the motion detection is triggered. The largest second area of the time-measured target object is determined as the target trigger area;

In the case where the target image sensor detects the target object with the minimum second area at the minimum distance, the minimum second speed of the target object when the motion detection is triggered; and the target image sensor detects the maximum second area at the maximum distance. In the case of the target object, the maximum second speed of the target object when the motion detection is triggered is determined as the target trigger speed.

In some embodiments, the third processing module 530 may also be used to:

Based on target test parameters, generate standard parameters for motion detection;

Obtain the motion detection information of the target image sensor under the standard parameters of motion detection;

Output motion detection information.

FIG. 6 illustrates a schematic diagram of the physical structure of an electronic device. As shown in FIG. 6 , the electronic device may include: a processor (processor) 610, a communication interface (Communications Interface) 620, a memory (memory) 630 and a communication bus 640, The processor 610 , the communication interface 620 , and the memory 630 communicate with each other through the communication bus 640 . The processor 610 can call the logic instructions in the memory 630 to execute the image sensor sensitivity test method, the method includes: obtaining the target trigger boundary parameter set corresponding to the target image sensor in the case of detecting the target object; The test results under each candidate parameter in the trigger boundary parameter set determine the target test parameters; based on the target test parameters, the sensitivity of the target image sensor is tested; wherein, the target trigger boundary parameter set is the target image sensor in the case of triggering motion detection. The set of corresponding candidate parameters.

In addition, the above-mentioned logic instructions in the memory 630 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, removable hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

In another aspect, the present invention also provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer When executing, the computer can execute the image sensor sensitivity test method provided by the above methods, the method includes: acquiring the target trigger boundary parameter set corresponding to the target image sensor in the case of detecting the target object; The test results under each candidate parameter in the parameter set determine the target test parameters; based on the target test parameters, the sensitivity of the target image sensor is tested; wherein, the target trigger boundary parameter set is the corresponding target image sensor in the case of triggering motion detection A collection of alternative parameters.

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, the computer program is implemented when executed by a processor to execute the above-mentioned image sensor sensitivity testing methods provided, the method comprising: : obtain the target trigger boundary parameter set corresponding to the target image sensor in the case of detecting the target object; determine the target test parameters based on the test results of the target image sensor under each candidate parameter in the target trigger boundary parameter set; based on the target test parameters, The sensitivity of the target image sensor is tested; wherein, the target trigger boundary parameter set is a set of candidate parameters corresponding to the target image sensor when motion detection is triggered.

The device embodiments described above are only illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed over multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

From the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic A disc, an optical disc, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments or some parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be The technical solutions described in the foregoing embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. An image sensor sensitivity testing method, comprising:

acquiring a target trigger boundary parameter set corresponding to a target image sensor under the condition of detecting a target object;

determining target test parameters based on test results of the target image sensor under all the alternative parameters in the target trigger boundary parameter set;

testing the sensitivity of the target image sensor based on the target test parameters;

the target trigger boundary parameter set is a set of the candidate parameters corresponding to the target image sensor when motion detection is triggered.

2. The image sensor sensitivity testing method according to claim 1, wherein the target test parameters include: at least one of a target test distance, a target test speed, a target test area, a target test color, and a target test frame rate; the determining target test parameters comprises:

determining the target testing distance, the target testing speed and the target testing area from the target triggering boundary parameter set based on the testing results of the target image sensor under the alternative parameters in the target triggering boundary parameter set;

determining the target test color based on the target test distance, the target test speed, and the target test area;

determining the target test frame rate based on the target test distance, the target test speed, the target test area, and the target test color.

3. The method for testing the sensitivity of the image sensor according to claim 2, wherein the determining the target testing distance, the target testing speed and the target testing area from the target trigger boundary parameter set based on the testing result of the target image sensor under each candidate parameter in the target trigger boundary parameter set comprises:

acquiring a maximum first area and a minimum first area of a target object at a target distance when the target image sensor triggers movement detection under the condition that the target object at the target distance in the target trigger boundary parameter set is detected by the target image sensor; and triggering a maximum first velocity and a minimum first velocity of the target object at the target distance at the time of movement detection;

acquiring movement detection data of the target object at the target distance of a target area when the target image sensor triggers movement detection in the case of detecting the target object moving based on a target speed, wherein the target speed is between the maximum first speed and the minimum first speed, and the target area is between the maximum first area and the minimum first area;

and under the condition that the movement detection data is not lower than a target detection threshold value, determining the target speed corresponding to the movement detection data as the target test speed, determining the target speed corresponding to the movement detection data as the target test distance, and determining the target area corresponding to the movement detection data as the target test area.

4. The method of claim 2, wherein the determining the target test color based on the target test distance, the target test speed, and the target test area comprises:

and determining the color value of the target object when motion detection is not triggered as the target test color under the condition that the target image sensor detects the target object of the target test area which is located at the target test distance and moves based on the target test speed.

5. The image sensor sensitivity testing method according to any one of claims 1 to 4, wherein the target trigger boundary parameter set includes: a target trigger distance, a target trigger area and a target trigger speed; the acquiring of the target trigger boundary parameter set corresponding to the target image sensor in the case of detecting the target object includes:

determining the minimum distance between the target object and the target image sensor and the maximum distance between the target object and the target image sensor when the target image sensor triggers movement detection under the condition that the target object is detected as the target trigger distance;

triggering a minimum second area of the target object in movement detection by the target image sensor when the target object located at the minimum distance is detected; and the target image sensor triggers the maximum second area of the target object in movement detection under the condition of detecting the target object at the maximum distance, and the maximum second area is determined as the target triggering area;

triggering a minimum second speed of the target object at the time of movement detection by the target image sensor in a case of detecting the target object of the minimum second area located at the minimum distance; and the target image sensor triggers the maximum second speed of the target object during movement detection under the condition of detecting the target object with the maximum second area at the maximum distance, and the maximum second speed is determined as the target triggering speed.

6. The method according to any one of claims 1 to 4, wherein the testing the sensitivity of the target image sensor based on the target test parameter comprises:

generating standard parameters of the mobile detection based on the target test parameters;

acquiring movement detection information of the target image sensor under the standard parameters of the movement detection;

and outputting the movement detection information.

7. An image sensor sensitivity testing apparatus, comprising:

the first processing module is used for acquiring a target trigger boundary parameter set corresponding to the target image sensor under the condition of detecting a target object;

the second processing module is used for determining target test parameters based on the test results of the target image sensor under all the alternative parameters in the target trigger boundary parameter set;

a third processing module for testing the sensitivity of the target image sensor based on the target test parameters;

the target trigger boundary parameter set is a set of the candidate parameters corresponding to the target image sensor when motion detection is triggered.

8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the image sensor sensitivity testing method according to any one of claims 1 to 6 when executing the program.

9. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the image sensor sensitivity testing method according to any one of claims 1 to 6.

10. A computer program product comprising a computer program, wherein the computer program, when executed by a processor, implements the image sensor sensitivity testing method of any of claims 1 to 6.

Images