CN114885853A - Livestock body temperature monitoring method and device, electronic equipment and storage medium - Google Patents
Livestock body temperature monitoring method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention provides a livestock body temperature monitoring method, a livestock body temperature monitoring device, electronic equipment and a storage medium, wherein the method comprises the following steps: determining a thermal image of the animal to be monitored; carrying out target detection on the thermal image to obtain a part area of a part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises an ear part and/or a head part; and monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image. Compared with the mode of adopting a mercury thermometer in the prior art, the livestock body temperature monitoring method, the livestock body temperature monitoring device, the electronic equipment and the storage medium provided by the embodiment of the invention are more beneficial to the health of livestock and workers, reduce the labor cost and improve the working efficiency; compared with the mode of an infrared temperature measuring gun, the method overcomes the randomness of manually selecting temperature measuring points, and monitors the temperature data of the ear or the head which is closest to the rectal temperature, so that the body temperature monitoring is more comprehensive and accurate.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a livestock body temperature monitoring method, a livestock body temperature monitoring device, electronic equipment and a storage medium.
Background
The body temperature measurement is an important work in the breeding process of the pigs, and the monitoring of the body temperature of the pigs becomes an important way for measuring the physiological health of the pigs.
At present, the method for monitoring the body temperature of the pig mainly comprises two temperature measurement modes of a traditional mercury thermometer and an infrared temperature measuring gun. The traditional mercury thermometer temperature measurement mode easily causes the pig to only produce the overstimulation behavior, not only produces certain influence to the health of pig, still can cause the injury to the survey crew. The temperature measurement mode of the infrared temperature measurement gun has randomness when the measurement point is manually selected, so that the measurement result is inaccurate and the error is large.
In addition, the two temperature measurement modes both need manual work, and the efficiency of the temperature measurement of the pig is lower while time and labor are wasted.
Disclosure of Invention
The invention provides a livestock body temperature monitoring method, a livestock body temperature monitoring device, electronic equipment and a storage medium, which are used for solving the defects that the livestock body temperature monitoring in the prior art needs manual participation, is time-consuming and labor-consuming, has low efficiency and has large error.
The invention provides a livestock body temperature monitoring method, which comprises the following steps:
determining a thermal image of the animal to be monitored;
carrying out target detection on the thermal image to obtain a part area of a part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises an ear part and/or a head part;
and monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
According to the livestock body temperature monitoring method provided by the invention, the target detection is carried out on the thermal image to obtain the part area of the part to be monitored of the livestock to be monitored in the thermal image, and the method comprises the following steps:
carrying out target detection on the thermal image to obtain an initial part area of a part to be monitored of the livestock to be monitored in the thermal image and an individual area of the livestock to be monitored in the thermal image;
and under the condition that the part mass center corresponding to the initial part area is within the individual area, determining the initial part area as the part area of the part to be monitored of the livestock to be monitored.
According to the livestock body temperature monitoring method provided by the invention, the temperature data of the part area in the thermal image is determined based on the following steps:
determining a maximum temperature value and an average temperature value of the ear based on a temperature matrix corresponding to the region of the ear in the thermal image;
and/or determining the highest temperature value of the head based on a temperature matrix corresponding to the region of the head in the thermal image;
determining temperature data for the region of the site based on a maximum temperature value and an average temperature value for the ear, and/or a maximum temperature value for the head.
According to the livestock body temperature monitoring method provided by the invention, the body temperature monitoring of the livestock to be monitored based on the temperature data of the part area in the thermal image comprises the following steps:
comparing the temperature data of the part area in the thermal image with a normal temperature range value corresponding to the part area to obtain a comparison result;
determining the abnormal body temperature of the livestock to be monitored and carrying out early warning under the condition that the comparison result is that the temperature data of the part area exceeds the normal temperature range value;
and determining that the body temperature of the livestock to be monitored is normal under the condition that the comparison result is that the temperature data of the part area does not exceed the normal temperature range value.
According to the livestock body temperature monitoring method provided by the invention, the comparing of the temperature data of the part area in the thermal image with the normal temperature range value corresponding to the part area to obtain the comparison result comprises the following steps:
under the condition that the part area comprises an ear area, comparing the highest temperature value and the average temperature value of the ear in the temperature data with the normal temperature range value of the ear to obtain a comparison result;
and under the condition that the part area does not comprise an ear area, comparing the highest temperature value of the head in the temperature data with the normal temperature range value of the head to obtain a comparison result.
According to the livestock body temperature monitoring method provided by the invention, the normal temperature range value is determined based on the following steps:
determining a plurality of thermal images of healthy livestock at different time periods;
determining temperature data of the healthy animal at different time period part areas based on the plurality of thermal images;
and determining the corresponding normal temperature range value of the part area based on the temperature data of the healthy livestock in the part area at different time periods.
According to the livestock body temperature monitoring method provided by the invention, the determining of the thermal image of the livestock to be monitored comprises the following steps:
determining an initial thermal image of the animal to be monitored;
and carrying out smooth filtering and/or sharpening on the initial thermal image to obtain the thermal image.
According to the livestock body temperature monitoring method provided by the invention, the target detection is carried out on the thermal image to obtain the part area of the part to be monitored of the livestock to be monitored in the thermal image, and the method comprises the following steps:
carrying out target detection on the thermal image to obtain an ear rectangular area of the livestock to be monitored in the thermal image;
right ear rectangular region carries out ear's segmentation, obtains the ear region of waiting to monitor the livestock.
The invention also provides a livestock body temperature monitoring device, comprising:
an image determination unit for determining thermal images of the animal to be monitored;
the target detection unit is used for carrying out target detection on the thermal image to obtain a part area of a part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises ears and/or heads;
and the body temperature monitoring unit is used for monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the livestock body temperature monitoring method.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of monitoring the body temperature of livestock as described in any one of the above.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements a method of monitoring the body temperature of livestock as described in any one of the above.
According to the livestock body temperature monitoring method, the livestock body temperature monitoring device, the electronic equipment and the storage medium, the thermal image of the livestock to be monitored is subjected to target detection, the part area of the part to be monitored of the livestock to be monitored in the thermal image is obtained, and the body temperature of the livestock to be monitored is monitored according to the temperature data of the part area in the thermal image. Compared with the method of adopting the mercury thermometer in the prior art, the method is more beneficial to the health of livestock and workers, reduces the labor cost and improves the working efficiency; compared with the mode of an infrared temperature measuring gun, the randomness of manually selecting temperature measuring points is overcome, and the temperature data of the ear or the head which is closest to the rectal temperature is monitored, so that the body temperature monitoring is more comprehensive and accurate.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a livestock body temperature monitoring method provided by the invention;
FIG. 2 is a schematic flow chart of step 120 of the livestock body temperature monitoring method provided by the present invention;
FIG. 3 is a schematic flow chart of a method for determining temperature data of a site region provided by the present invention;
FIG. 4 is a schematic flow chart illustrating a step 130 of the livestock body temperature monitoring method provided by the present invention;
FIG. 5 is a schematic flow chart of a method for comparing temperatures of a portion according to the present invention;
FIG. 6 is a schematic flow chart of a normal temperature range value determination method provided by the present invention;
FIG. 7 is a schematic flow chart of step 110 of the livestock body temperature monitoring method provided by the invention;
FIG. 8 is a second schematic flow chart of step 120 of the livestock body temperature monitoring method provided by the present invention;
FIG. 9 is a second schematic flow chart of a method for determining temperature data of a region according to the present invention;
fig. 10 is a schematic structural view of a livestock body temperature monitoring device provided by the invention;
fig. 11 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
At present, the pig body temperature monitoring mode can be mainly divided into the pig body temperature monitoring based on the traditional temperature measurement mode and the infrared temperature measurement gun temperature measurement mode.
The traditional temperature measurement mode is that 2-3 workers adopt a mercury thermometer to measure the anus temperature of the pig, and body temperature monitoring is carried out based on the anus temperature of the pig. On one hand, the mode brings harm to the physiology and the physical health of the pigs, and is not beneficial to the healthy growth of the pigs. Particularly, when the pig is infected with diseases and temperature measuring personnel do not know the condition, the possibility of cross infection of people and livestock exists; on the other hand, the temperature measurement process at least needs 2-3 workers to be matched for temperature measurement, one effective temperature measurement process takes 5-6 minutes, and labor cost and time cost are greatly consumed. When large-scale cultivation is performed, cost of cultivation personnel of an enterprise is greatly increased, working efficiency is low, unreasonable burdens are increased for the enterprise, and enterprise benefits are reduced.
The temperature measurement mode of the infrared temperature measurement gun is that 1 worker holds the infrared temperature measurement gun, selects a certain point of the eyes or the ear root part of a pig to measure the temperature, and monitors the body temperature based on the measured temperature. The process is repeated in sequence for a plurality of pigs until the body temperature monitoring of all the pigs is completed. Although the temperature measurement mode is simple and rapid, the measurement points of the key parts are randomly selected manually, and different temperature measurement results appear due to different positions of the temperature measurement points when the same part of the pig is measured, so that the inaccuracy of measurement is easily caused, and errors are brought to the temperature monitoring of the pig.
Based on this, in order to reduce the cost of large-scale breeding and improve the efficiency and accuracy of monitoring the body temperature of livestock, the embodiment of the invention provides a method for monitoring the body temperature of livestock, which can be used for monitoring the body temperature of pigs and detecting the body temperature of other livestock such as cattle, sheep and the like, and the embodiment of the invention is not particularly limited to this.
Fig. 1 is a schematic flow chart of a livestock body temperature monitoring method provided by the invention. As shown in fig. 1, the method includes:
in step 110, a thermal image of the animal to be monitored is determined.
In particular, the livestock to be monitored refers to livestock needing body temperature monitoring. The thermal image is an image which can record the heat or temperature of the livestock to be monitored or radiated outwards and can be acquired by a thermal imager.
For example, according to the actual field condition of the livestock to be detected, the inspection robot and the infrared thermal imaging camera are used for shooting the livestock to be monitored in different fields to obtain thermal images of the livestock to be monitored.
It should be noted that the thermal image of the livestock to be monitored may be an initial thermal image including the livestock to be monitored acquired by the thermal imager, or may be a thermal image obtained by performing image processing such as denoising and sharpness enhancement on the initial thermal image, which is not specifically limited in the embodiment of the present invention.
And 120, carrying out target detection on the thermal image to obtain a part area of the part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises ears and/or heads.
Particularly, the part to be monitored is a part for monitoring the temperature of one or more parts on the body of the livestock to be monitored, and a large number of researches show that the temperature of the ear and the head of the livestock is the closest to the rectal temperature, so that the body temperature of the livestock to be monitored can be truly reflected. Meanwhile, the posture influence of the livestock to be monitored can be considered in the process of acquiring the thermal images of the livestock to be monitored, so that the part to be monitored can be an ear part, can also be a head part, and can also comprise the ear part and the head part.
The ear is defined as including an ear contour area and an ear root of the livestock to be monitored; the head is defined as the entire head position of the animal to be monitored, including the ears, roots of the ears, and when visible, the nose.
Accordingly, the thermal image is subjected to target detection, where the target may be the head and ear of the animal to be monitored. By means of the object detection, the ear region of the animal to be monitored contained in the thermal image or the head region of the animal to be monitored contained in the thermal image or both the ear region and the head region of the animal to be monitored contained in the thermal image may be obtained.
It is understood that the area of the part here refers to the position of the part to be monitored of the animal to be monitored in the thermal image, and may in particular be the ear area or the head area, or both, contained in the thermal image.
Further, the part region may be represented by a rectangular frame, and the ear portion and/or the head portion may be divided based on the part region represented by the rectangular frame, so as to obtain the part region represented by the part contour line after the part division is performed, which is not particularly limited in this embodiment of the present invention.
And step 130, monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
Specifically, the region of the portion obtained in step 120 may reflect the position of the portion to be monitored in the thermal image, and the temperature data of the region of the portion in the thermal image may be obtained by combining the temperature measurement result corresponding to each pixel point in the thermal image. The resulting temperature data of the zone may reflect the zone temperature of the animal to be monitored, such as ear temperature data, and/or head temperature data.
The temperature data of the region may be represented by a temperature matrix, the size of the temperature matrix is equal to the size of the region, and the value at a certain position in the temperature matrix is the measured temperature value corresponding to the same position in the region in the thermal image.
Preferably, the average value, the maximum value, the minimum value, or the like of the region of the site may be obtained from the measured temperature value at each site in the temperature matrix.
On the basis of obtaining the temperature data of the part area, the body temperature of the livestock to be monitored can be monitored according to the temperature data of the part area.
For example, the temperature values and temperature variation curves of the same part of the livestock to be monitored in different time periods in a day, or the temperature values and temperature variation curves of the same part of the livestock to be monitored in different physiological periods, or the temperature values of the different parts of the livestock to be monitored in the same time period, or whether the body temperature of the livestock to be monitored is abnormal, whether the body temperature is higher or lower, and the like can be monitored.
According to the method provided by the embodiment of the invention, the thermal image of the livestock to be monitored is subjected to target detection to obtain the part area of the part to be monitored of the livestock to be monitored in the thermal image, and the body temperature of the livestock to be monitored is monitored according to the temperature data of the part area in the thermal image. Compared with the method of adopting the mercury thermometer in the prior art, the method is more beneficial to the health of livestock and workers, reduces the labor cost and improves the working efficiency; compared with the mode of an infrared temperature measuring gun, the randomness of manually selecting temperature measuring points is overcome, and the temperature data of the ear or the head which is closest to the rectal temperature is monitored, so that the body temperature monitoring is more comprehensive and accurate.
Based on the above embodiments, fig. 2 is one of the flow diagrams of step 120 in the livestock body temperature monitoring method provided by the present invention. As shown in fig. 2, step 120 specifically includes:
and step 122, under the condition that the part mass center corresponding to the initial part area is in the individual area, determining the initial part area as the part area of the part to be monitored of the livestock to be monitored.
In particular, the obtained thermal image comprises a plurality of part areas of the animal to be monitored, such as three or more ear areas in the thermal image, taking into account the influence of the pose of the animal to be monitored when the animal to be monitored is multiple or limited to the image capturing.
Therefore, in order to further improve the accuracy of the target detection, to ensure that a region of the to-be-monitored site in the thermal image is obtained for the animal to be monitored, the detection of individuals for the animal to be monitored is increased when the target detection is performed, where the individuals are the entire body of the animal to be monitored.
It will be appreciated that the targets in step 121 may include the ears, heads and individuals of the animal to be monitored. And obtaining an initial part area of the part to be monitored of the livestock to be monitored in the thermal image and an individual area of the livestock to be monitored in the thermal image through target detection. The initial region is the initial ear and/or head region.
Further, the acquired thermal images can be input into the trained target detection model to obtain an initial part region and an individual region output by the target detection model.
Before step 121 is executed, the target detection model may also be trained in advance, and specifically, the model training may be performed by the following method:
firstly, a large number of sample thermal images are collected, the sample thermal images are labeled according to set detection targets, target areas corresponding to the sample thermal images are labeled, and a target detection data set is constructed. When labeling, the LabelImg tool can be used to perform rectangular box labeling of the ear, head and individual.
And then inputting the target detection data set into an initial model for training, wherein the initial model can learn the common characteristics among the same parts and the difference characteristics among different parts in the training process, so that the target detection model obtained by training can better realize the detection of ears, heads and individuals.
Furthermore, when the model is trained, the network layer is frozen by using the idea of transfer learning for reference, so that the model training can be accelerated, and the performance of the model is effectively improved.
On the basis of obtaining the initial part area of the part to be monitored of the livestock to be monitored in the thermal image, the part mass center corresponding to the initial part area can be determined. Such as the center of mass of the ear corresponding to the ear, or the center of mass of the head corresponding to the head.
The position of the part centroid corresponding to the initial part area can be determined by a weighted positioning centroid algorithm, a binarization centroid positioning algorithm or a three-point positioning triangle centroid algorithm according to the thermal image corresponding to the initial part area, and can be flexibly selected according to actual conditions.
And after the position of the part mass center corresponding to the initial part area is obtained, whether the part mass center is in the individual area can be judged, and under the condition that the part mass center corresponding to the initial part area is in the individual area, the initial part area is shown to belong to the part area of the livestock to be monitored, and the initial part area can be determined as the part area of the part to be monitored of the livestock to be monitored.
It can be understood that, in the case that the centroid of the part corresponding to the initial part region is not within the individual region, it means that the initial part region does not belong to the part region of the animal to be monitored itself, and is an invalid interference target region, and can be discarded without processing.
According to the method provided by the embodiment of the invention, target detection is carried out on the thermal image to obtain the initial part area and the individual area of the livestock to be monitored in the thermal image; the initial part area is further screened by judging whether the part centroid of the initial part area is in the individual area or not to obtain the part area of the part to be monitored of the livestock to be monitored, so that the accuracy of the part area obtained by target detection is further improved.
Based on any of the above embodiments, fig. 3 is a schematic flow chart of a method for determining temperature data of a region according to the present invention. As shown in fig. 3, the temperature data for the region of the site in the thermal image is determined based on the following steps:
step 310, determining a highest temperature value and an average temperature value of the ear based on a temperature matrix corresponding to the ear part region in the thermal image; and/or the presence of a gas in the gas,
at step 330, temperature data for the region of the site is determined based on the highest temperature value and the average temperature value for the ear and/or the highest temperature value for the head.
Specifically, the temperature matrix corresponding to the ear region in the thermal image may be obtained by performing temperature analysis on the thermal image, and the size of the temperature matrix is consistent with the size of the ear region. The value of a certain position point in the temperature matrix is the temperature measurement value corresponding to the same position point of the ear part area in the thermal image. And obtaining the highest temperature value and the average temperature value of the ear part according to the temperature values of all the position points in the temperature matrix.
Similarly, the highest temperature value of the head can be obtained according to the temperature value of each position point in the temperature matrix corresponding to the part area of the head in the thermal image.
Then, the obtained highest temperature value and average temperature value of the ear can be used as the temperature data of the part area, or the highest temperature value of the head can be used as the temperature data of the part area, or the temperature data of the part area simultaneously comprises the highest temperature value and average temperature value of the ear and the highest temperature value of the head.
Based on any of the above embodiments, fig. 4 is a schematic flow chart of step 130 in the livestock body temperature monitoring method provided by the invention. As shown in fig. 4, step 130 specifically includes:
step 132, determining the abnormal body temperature of the livestock to be monitored and carrying out early warning when the comparison result is that the temperature data of the part area exceeds the normal temperature range value;
and step 133, determining that the body temperature of the livestock to be monitored is normal under the condition that the comparison result is that the temperature data of the part area does not exceed the normal temperature range value.
Specifically, in order to realize the monitoring of the abnormal body temperature of the livestock to be monitored, a normal temperature range value corresponding to a part area of the livestock to be monitored can be preset.
On the basis of obtaining the temperature data of the part area, the temperature data of the part area can be compared with the normal temperature range value corresponding to the part area to obtain a comparison result. The comparison result here may be an ear comparison result, a head comparison result, or a comprehensive comparison result obtained by integrating the ear comparison result and the head comparison result, which is not specifically limited in the embodiment of the present invention.
It can be understood that the comparison result may specifically be that the temperature data of the region is within the normal temperature range, i.e. does not exceed the normal temperature range; or the temperature data is outside the normal temperature range value, i.e. outside the normal temperature range value.
Under the condition that the temperature data exceeds the normal temperature range value, the temperature data of the part area can be judged to be abnormal, the abnormal body temperature of the livestock to be monitored is further determined, the alarm can be given to remind workers, so that the workers can find the livestock with the abnormal body temperature in time, corresponding measures are taken, and the health of the livestock is ensured.
Under the condition that the temperature data do not exceed the normal temperature range value, the temperature data of the part area can be judged to be normal, and the body temperature normality of the livestock to be monitored is further determined.
Based on any of the above embodiments, fig. 5 is a schematic flow chart of the part temperature comparison method provided by the present invention. As shown in fig. 5, step 131 specifically includes:
step 131-1, comparing the highest temperature value and the average temperature value of the ear in the temperature data with the normal temperature range value of the ear under the condition that the part area comprises the ear area to obtain a comparison result;
and step 131-2, comparing the highest temperature value of the head in the temperature data with the normal temperature range value of the head under the condition that the part area does not comprise the ear area to obtain a comparison result.
Specifically, considering that the temperature of the ear is closer to the rectal temperature than the head through a large amount of practice and research, when the temperature data of the region is compared with the normal temperature range value corresponding to the region, the temperature measurement result of the ear is taken as a first choice, and the temperature measurement result of the head is taken as a second choice.
Under the condition that the part to be monitored comprises the ear part, the highest temperature value and the average temperature value of the ear part are selected and compared with the normal temperature range value of the ear part to obtain a comparison result, and the temperature data of the head part does not need to be compared at the moment. And if the comparison result shows that the maximum temperature and the average temperature of the ear are beyond the normal range, determining that the body temperature of the livestock to be monitored is abnormal, and outputting early warning.
Due to the influence of the posture of the livestock, under the condition that the part to be monitored does not comprise ears, the highest temperature value of the head is selected and compared with the normal temperature range value of the head, if the comparison result shows that the highest temperature value of the head exceeds the normal range, the abnormal body temperature of the livestock to be monitored is determined, and early warning is output.
According to the method provided by the embodiment of the invention, under the condition that the detected part area comprises the ear area, the body temperature is monitored according to the ear temperature comparison result; and under the condition that the detected part region does not comprise the ear region, the body temperature is monitored according to the head temperature comparison result, so that the body temperature monitoring accuracy is further improved.
Based on any of the above embodiments, fig. 6 is a schematic flowchart of the method for determining a normal temperature range value provided by the present invention. As shown in fig. 6, the normal temperature range value is determined based on the following steps:
Specifically, the normal temperature range value of the site can be obtained by the following method:
in an actual application scene, part of healthy livestock is selected, and thermal images are acquired at different time intervals in a day to obtain a plurality of thermal images of the healthy livestock at different time intervals.
By using the method in the above embodiment, for each thermal image, firstly, the target detection is performed to obtain the region of the portion in the thermal image, then the temperature data corresponding to the region of the portion is obtained, and the temperature data of the region of the portion at different time intervals is stored and recorded.
And (4) counting the temperature data of the healthy livestock in the parts at different time periods obtained in the step (620), and uniformly obtaining temperature ranges of different parts and different temperature types to be used as normal temperature range values.
Based on any of the above embodiments, fig. 7 is a schematic flow chart of step 110 in the livestock body temperature monitoring method provided by the invention. As shown in fig. 7, step 110 specifically includes:
step 111, determining an initial thermal image of the animal to be monitored;
Specifically, in consideration that the sharpness of a thermal image obtained by direct photographing may not be high, in order to obtain a more accurate region at the time of target detection, sharpness enhancement processing may be performed on the thermal image.
The initial thermal image may be captured by an image capture device, such as a thermal imager. The initial thermal image is subjected to smoothing filtering and/or sharpening to obtain a sharpness-enhanced thermal image. For example, the initial thermal image may be denoised by a smoothing filtering method, and then the image may be sharpened by a laplacian method using a laplacian operator of 3 × 3, so as to highlight the edge information of the image, thereby enhancing the sharpness of the image.
Based on any of the above embodiments, fig. 8 is a second schematic flow chart of step 120 in the livestock body temperature monitoring method provided by the present invention. As shown in fig. 8, step 120 specifically includes:
and step 124, carrying out ear segmentation on the ear rectangular area to obtain the ear area of the livestock to be monitored.
Specifically, when the body temperature is monitored, the temperature of the ear is taken as a first choice, and accordingly, the maximum temperature value and the average temperature value of the ear need to be obtained at the same time. In order to eliminate the influence of the ear background area on the temperature average value, the extraction of the ear temperature average value is more accurate, and on the basis of obtaining the ear rectangular area of the livestock to be monitored in the thermal image, the ear rectangular area can be further subjected to ear segmentation to obtain the ear area of the livestock to be monitored.
For example, the ear can be segmented using the Ostu (Otsu) algorithm to obtain the ear region of the livestock to be monitored.
Based on any embodiment, taking an example that livestock to be monitored is pigs, the body temperature monitoring method is provided, and comprises the following steps:
s1, acquiring initial thermal images of the pigs.
The acquisition of the initial thermal image of the pig can be obtained by taking a snapshot of pigs with different columns by using the inspection robot and the thermal imaging camera according to the actual column conditions of the pig farm.
And S2, establishing and labeling a pig part detection data set.
For the initial thermal image of the pig collected in S1, invalid data are removed through manual screening. The detection part of the pig is set to comprise an ear part and a head part, and the detection of the pig individual is also set. And marking the thermal images of the pigs according to the set detection parts, and establishing a pig part detection data set.
And S3, building and training a pig target detection model.
The detection of individual pigs, ear parts of pigs and head parts of pigs is realized by adopting a target detection method. The individual, ear, head and the like of the pig can be in different forms due to the individual difference, posture change and other factors. If the traditional image detection algorithm is adopted, the image features with high robustness cannot be designed for target detection. In consideration of the fact that the deep learning method can extract deep image features through a network, the yolov5 target detector based on the deep convolutional network is adopted to realize detection of the individual, the ear and the head of the pig.
When a detection network is built, the final classification number of the network is modified into 3 types, and the 3 types correspond to the individual pigs, the ears and the heads respectively. Retraining of the model is performed on the basis of yolov5 pre-trained model weights using the labeled data set. When the model is trained, the network layer is frozen by using the idea of transfer learning, so that the model training can be accelerated, and the performance of the model is effectively improved.
And S4, carrying out target detection on the pig by using the trained target detection model, and acquiring temperature data of the part area. Fig. 9 is a second flowchart of the method for determining temperature data of a region according to the present invention, as shown in fig. 9, S4 includes:
s41, firstly, carrying out image definition enhancement processing on the input pig initial thermal image to obtain a pig thermal image with enhanced definition.
And S42, detecting the individual pigs, the ears and the heads in the thermal images by using the trained target detection model to obtain corresponding initial part areas. After the ear region is obtained, an ear segmentation operation is performed, and a mask region of the ear is extracted.
And S43, after the corresponding initial part area is obtained, judging whether the part centroid corresponding to the initial part area is in the detection frame of the individual pig.
If yes, extracting a mask map of the detected part, and extracting the temperature by combining a temperature matrix analyzed by the temperature data; if not, discarding the detection frame and not performing subsequent temperature extraction.
And S44, obtaining temperature data of the region in the thermal image.
And performing dot multiplication on the mask map of the part and the temperature matrix to obtain the temperature mask matrix of the part. In the temperature mask matrix, the temperature value at the non-site area is set to 0, the value of the temperature matrix in the thermal image is reserved in the site area, and then the maximum value or the average value of the temperature at the site can be obtained from the temperature mask matrix. The final temperature measurement output result comprises: the maximum temperature value and the average temperature value of the ears and the maximum temperature value of the heads of the pigs.
And S5, judging the abnormal body temperature of the pig and outputting an early warning.
When the abnormal body temperature of the pig is judged, the temperature measurement result of the ear is used as a first selection, and the temperature measurement result of the head is used as a second selection.
Under the condition that the part area comprises an ear area, comparing the highest temperature value and the average temperature value of the ear in the temperature data with the normal temperature range value of the ear to obtain a comparison result;
and under the condition that the part area does not comprise the ear area, comparing the highest temperature value of the head in the temperature data with the normal temperature range value of the head to obtain a comparison result.
And monitoring the abnormal body temperature of the pig according to the obtained comparison result, and if the comparison result exceeds the normal temperature range, determining that the body temperature of the pig is abnormal and outputting early warning.
The livestock body temperature monitoring device provided by the invention is described below, and the livestock body temperature monitoring device described below and the livestock body temperature monitoring method described above can be referred to correspondingly.
Based on any of the above embodiments, fig. 10 is a schematic structural diagram of the livestock body temperature monitoring device provided by the invention. As shown in fig. 10, the apparatus includes:
an image determination unit 1010 for determining thermal images of the animal to be monitored;
a target detection unit 1020, configured to perform target detection on the thermal image to obtain a region of a to-be-monitored part of the to-be-monitored livestock in the thermal image, where the to-be-monitored part includes an ear and/or a head;
and the body temperature monitoring unit 1030 is used for monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
The livestock body temperature monitoring device provided by the embodiment of the invention is used for carrying out target detection on the thermal image of the livestock to be monitored to obtain the part area of the part to be monitored of the livestock to be monitored in the thermal image, and carrying out body temperature monitoring on the livestock to be monitored according to the temperature data of the part area in the thermal image. Compared with the method of adopting the mercury thermometer in the prior art, the method is more beneficial to the health of livestock and workers, reduces the labor cost and improves the working efficiency; compared with the mode of an infrared temperature measuring gun, the randomness of manually selecting temperature measuring points is overcome, and the temperature data of the ear or the head which is closest to the rectal temperature is monitored, so that the body temperature monitoring is more comprehensive and accurate.
Based on any of the above embodiments, the target detection unit 1020 is further configured to:
carrying out target detection on the thermal image to obtain an initial part area of a part to be monitored of the livestock to be monitored in the thermal image and an individual area of the livestock to be monitored in the thermal image;
and under the condition that the part mass center corresponding to the initial part area is within the individual area, determining the initial part area as the part area of the part to be monitored of the livestock to be monitored.
Based on any of the above embodiments, the apparatus further comprises a temperature determination unit configured to:
determining a maximum temperature value and an average temperature value of the ear based on a temperature matrix corresponding to the region of the ear in the thermal image;
and/or determining the highest temperature value of the head based on a temperature matrix corresponding to the region of the head in the thermal image;
determining temperature data for the region of the site based on a maximum temperature value and an average temperature value for the ear, and/or a maximum temperature value for the head.
Based on any of the above embodiments, the body temperature monitoring unit 1030 is further configured to:
comparing the temperature data of the part area in the thermal image with a normal temperature range value corresponding to the part area to obtain a comparison result;
determining the abnormal body temperature of the livestock to be monitored and carrying out early warning under the condition that the comparison result is that the temperature data of the part area exceeds the normal temperature range value;
and determining that the body temperature of the livestock to be monitored is normal under the condition that the comparison result is that the temperature data of the part area does not exceed the normal temperature range value.
Based on any of the above embodiments, the body temperature monitoring unit 1030 is further configured to:
under the condition that the part area comprises an ear area, comparing the highest temperature value and the average temperature value of the ear in the temperature data with the normal temperature range value of the ear to obtain a comparison result;
and under the condition that the part area does not comprise an ear area, comparing the highest temperature value of the head in the temperature data with the normal temperature range value of the head to obtain a comparison result.
Based on any of the above embodiments, the apparatus further comprises a normal temperature determination unit configured to:
determining a plurality of thermal images of healthy livestock at different time periods;
determining temperature data of the healthy animal at different time period part areas based on the plurality of thermal images;
and determining the corresponding normal temperature range value of the part area based on the temperature data of the healthy livestock in the part area at different time periods.
Based on any of the above embodiments, the image determining unit 1010 is further configured to:
determining an initial thermal image of the animal to be monitored;
and carrying out smooth filtering and/or sharpening on the initial thermal image to obtain the thermal image.
Fig. 11 illustrates a physical structure diagram of an electronic device, and as shown in fig. 11, the electronic device may include: a processor (processor)1110, a communication Interface (Communications Interface)1120, a memory (memory)1130, and a communication bus 1140, wherein the processor 1110, the communication Interface 1120, and the memory 1130 communicate with each other via the communication bus 1140. Processor 1110 may invoke logic instructions in memory 1130 to perform a method of animal temperature monitoring, the method comprising: determining a thermal image of the animal to be monitored; carrying out target detection on the thermal image to obtain a part area of a part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises an ear part and/or a head part; and monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
In addition, the logic instructions in the memory 1130 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program, the computer program being stored on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of executing the livestock body temperature monitoring method provided by the above methods, the method comprising: determining a thermal image of the animal to be monitored; carrying out target detection on the thermal image to obtain a part area of a part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises an ear part and/or a head part; and monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of monitoring livestock body temperature provided by the above-mentioned methods, the method comprising: determining a thermal image of the animal to be monitored; carrying out target detection on the thermal image to obtain a part area of a part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises an ear part and/or a head part; and monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (11)
1. A livestock body temperature monitoring method is characterized by comprising the following steps:
determining a thermal image of the animal to be monitored;
carrying out target detection on the thermal image to obtain a part area of a part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises an ear part and/or a head part;
and monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
2. The livestock body temperature monitoring method of claim 1, wherein said performing target detection on said thermal image to obtain a portion area of a portion to be monitored of said livestock to be monitored in said thermal image comprises:
carrying out target detection on the thermal image to obtain an initial part area of a part to be monitored of the livestock to be monitored in the thermal image and an individual area of the livestock to be monitored in the thermal image;
and under the condition that the part mass center corresponding to the initial part area is within the individual area, determining the initial part area as the part area of the part to be monitored of the livestock to be monitored.
3. The livestock body temperature monitoring method of claim 1, wherein said portion area temperature data in said thermal image is determined based on the steps of:
determining a maximum temperature value and an average temperature value of the ear based on a temperature matrix corresponding to the region of the ear in the thermal image;
and/or determining the highest temperature value of the head based on a temperature matrix corresponding to the region of the head in the thermal image;
determining temperature data for the region of the site based on a maximum temperature value and an average temperature value for the ear, and/or a maximum temperature value for the head.
4. The livestock body temperature monitoring method of claim 1, wherein said body temperature monitoring of said livestock to be monitored based on temperature data of said portion area in said thermal image comprises:
comparing the temperature data of the part area in the thermal image with a normal temperature range value corresponding to the part area to obtain a comparison result;
determining the abnormal body temperature of the livestock to be monitored and carrying out early warning under the condition that the comparison result is that the temperature data of the part area exceeds the normal temperature range value;
and determining that the body temperature of the livestock to be monitored is normal under the condition that the comparison result is that the temperature data of the part area does not exceed the normal temperature range value.
5. The livestock body temperature monitoring method according to claim 4, wherein said comparing temperature data of said portion area in said thermal image with a normal temperature range value corresponding to said portion area to obtain a comparison result comprises:
under the condition that the part area comprises an ear area, comparing the highest temperature value and the average temperature value of the ear in the temperature data with the normal temperature range value of the ear to obtain a comparison result;
and under the condition that the part area does not comprise the ear area, comparing the highest temperature value of the head in the temperature data with the normal temperature range value of the head to obtain a comparison result.
6. Livestock body temperature monitoring method according to claim 5, characterized in that said normal temperature range value is determined based on the following steps:
determining a plurality of thermal images of healthy livestock at different time periods;
determining temperature data of the healthy animal at different time period part areas based on the plurality of thermal images;
and determining the corresponding normal temperature range value of the part area based on the temperature data of the healthy livestock in the part area at different time periods.
7. The livestock body temperature monitoring method of any of claims 1-6, characterized in that said determining thermal images of livestock to be monitored, comprises:
determining an initial thermal image of the animal to be monitored;
and carrying out smooth filtering and/or sharpening on the initial thermal image to obtain the thermal image.
8. The livestock body temperature monitoring method of any one of claims 1-6, wherein said performing target detection on said thermal image to obtain a portion area of a portion to be monitored of said livestock to be monitored in said thermal image comprises:
carrying out target detection on the thermal image to obtain an ear rectangular area of the livestock to be monitored in the thermal image;
right ear rectangular region carries out ear's segmentation, obtains the ear region of waiting to monitor the livestock.
9. A livestock body temperature monitoring device, comprising:
an image determination unit for determining thermal images of the animal to be monitored;
the target detection unit is used for carrying out target detection on the thermal image to obtain a part area of a part to be monitored of the livestock to be monitored in the thermal image, wherein the part to be monitored comprises ears and/or heads;
and the body temperature monitoring unit is used for monitoring the body temperature of the livestock to be monitored based on the temperature data of the part area in the thermal image.
10. An electronic device comprising a memory, a processor and a computer program stored on said memory and executable on said processor, wherein said processor when executing said program implements the livestock body temperature monitoring method of any of claims 1 to 8.
11. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the livestock body temperature monitoring method of any of claims 1-8.
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