CN116363886A - Intelligent lamp post - Google Patents

Abstract

The invention provides an intelligent lamp post, which comprises a lamp post body and a vehicle monitoring system arranged in the lamp post body, wherein the vehicle monitoring system comprises a solid-state image sensor, a license plate recognition module, a speed measurement module and a position and driving direction recognition module, and the license plate recognition module, the speed measurement module and the position and driving direction recognition module are all in electric signal connection with the solid-state image sensor. The invention integrates the solid-state image sensor on the lamp post body, monitors the congestion condition of the automobile by using the solid-state image sensor, makes congestion time pre-judgment, informs the following vehicles, and leads the following vehicles to split automatically; the solid-state image sensor is utilized to monitor the speed of the accident-prone road section vehicle in real time, remind the vehicle running in the same direction of keeping a safe distance, and prevent rear-end collision; reminding vehicles running in opposite directions to pull away a distance properly, and ensuring the safety of meeting; reminding a vehicle approaching the red light-on intersection to slow down and prepare for braking; and giving a front vehicle reminding when the rear vehicle overtakes.

Description

A smart light pole

technical field

The invention relates to the technical field of road traffic facilities, in particular to an intelligent light pole.

Background technique

Today, with the rapid development of social economy and the continuous improvement of the living standards of urban residents, motor vehicles have become an indispensable means of transportation for people to travel. How to effectively manage motor vehicles, how to punish and reduce traffic violations, and how to quickly detect traffic accident escapes and motor vehicle theft cases have become a problem that local governments and traffic control departments are paying more and more attention to. Therefore, the installation and implementation of the intelligent traffic monitoring system has also become the focus of management departments.

The intelligent traffic monitoring system is to transmit the on-site images in the monitoring area back to the command center through the monitoring system, so that the management personnel can directly grasp the traffic conditions such as vehicle queuing, congestion, signal lights, etc., adjust the signal timing in time or use other means to divert the traffic and change the traffic conditions. flow distribution in order to achieve the purpose of alleviating traffic congestion.

The intelligent traffic monitoring system provides image monitoring, vehicle query, violation query, intelligent research and judgment, deployment control, and traffic statistics and analysis; real-time image monitoring of vehicle information on the road, synchronous image superimposition time, snapshot location, license plate number, license plate color, body color, equipment name , vehicle speed, speed limit, lane, red light time, and snapshot serial number, etc.; supports real-time refresh and stop refresh operations of checkpoint vehicle information; supports multiple vehicle research and judgment modes such as the first time, frequent, and high-risk periods, and supports vehicle behavior analysis and query modes such as Sections, collisions, accompanying vehicles, vehicles with license plates; real-time monitoring of traffic road conditions, providing bayonet functions such as identifying vehicle number plate characters, identifying vehicle number plate color, identifying vehicle body color, and detecting vehicle speed. Functions such as driving, changing lanes in violation of regulations, reversing, pressing (solid) lines, etc.; support the input of license plate number, car owner information, body color, body length, vehicle type, license plate color, control agency and wanted unit, control type, control contact, Deploy control time and other information.

However, the existing intelligent traffic monitoring system also has the following problems:

(1) The locations are unevenly distributed and there is little monitoring.

(2) The technical parameters of existing facilities are low. Some monitoring facilities have low technological content, and the monitoring methods and functions are backward. After some traffic accidents, even if the video can be retrieved from some toll booths or road sections for viewing, some videos are blurred, and it is impossible to distinguish the license plate, color, and type of the captured vehicle, which cannot be used for the detection of the case. Provide valuable leads in a timely manner.

(3) The technical standards of the monitoring system are different, and the integration is difficult. Some monitoring systems only have a simple camera function, but have failed to form a real intelligent monitoring function, and cannot reach the level of synchronous networking and sharing of intelligent monitoring information. They are still in a state of fighting on their own in various departments and levels, which restricts the construction of a joint operation mechanism. .

Contents of the invention

The purpose of the present invention is to provide a smart light pole to solve the technical problems raised in the background art.

In order to achieve the above object, the present invention provides a smart light pole, including a light pole body and a vehicle monitoring system installed in the light pole body, the vehicle monitoring system includes a solid-state image sensor, a license plate recognition module, a speed measurement module and The position and driving direction recognition module, the license plate recognition module, the speed measurement module and the position and driving direction recognition module are all electrically connected to the solid-state image sensor.

Further, the license plate recognition module performs image processing on the electrical signal output by the solid-state image sensor to identify the license plate information of the cars passing the light pole body.

Further, the speed measuring module is used to calculate the speed information of the car by counting fluctuations in the size of the image squares output by two adjacent solid-state image sensors.

Further, the position and driving direction identification module is used to identify the time when two adjacent solid-state image sensors output the vehicle image information, and judge the driving direction of the vehicle;

The position and driving direction identification module is also used to identify the position change of the image point formed by the light beam emitted by the automobile reflective laser on the image surface of the solid-state image sensor, calculate the moving distance of the image point, and measure the lane where the automobile is located.

Further, the vehicle monitoring system also includes a rear-end collision prediction module;

The rear-end collision prediction module is used to judge that two adjacent vehicles are in the same lane according to the output signal of the position and driving direction recognition module, and count the time interval of the rear vehicle passing the preset light pole body relative to the front vehicle, if the time interval If it is less than the first threshold, a first alarm signal is output.

Further, the rear-end collision prediction module is also used to calculate the time interval of the rear vehicle passing the preset light pole body relative to the front vehicle if it is judged that two adjacent vehicles are in the same lane according to the signal output by the position and driving direction recognition module, If the time interval is less than a second threshold, a second alarm signal is output; wherein, the second threshold is less than the first threshold.

Further, the vehicle monitoring system also includes a wireless broadcast module;

The wireless broadcasting module is connected with the rear-end collision prediction module, and is used for wirelessly broadcasting the first warning signal and the second warning signal.

Further, the vehicle monitoring system also includes an infrared emission module;

The infrared emitting module is connected with the rear-end collision prediction module, and is used for emitting infrared rays to the rear vehicle to trigger the anti-collision system installed in the rear vehicle after receiving the trigger signal sent by the rear-end collision prediction module.

Further, the vehicle monitoring system also includes a vehicle meeting monitoring module;

The meeting monitoring module is electrically connected with the position and driving direction recognition module and the wireless broadcasting module, and is used to judge that two vehicles are driving in the adjacent lane in the opposite direction according to the signal output by the position and driving direction recognition module. When there is no obstruction in the middle of the lane, output a third warning signal to the wireless broadcast module;

The wireless broadcast module is used for wirelessly broadcasting the third alarm signal.

Further, the vehicle monitoring system also includes a congestion prediction module;

The congestion prediction module is electrically connected with the solid-state image sensor and the wireless broadcasting module; the congestion prediction module is used to count the edge signals output by the solid-state image sensor in a unit time so as to analyze the cars passing through the light pole body Counting, predicting the probability of congestion and the congestion time by the number of cars passing through the light pole body per unit time, and generating a fourth alarm signal;

The wireless broadcast module is used for wirelessly broadcasting the fourth alarm signal.

The beneficial effects of the present invention are reflected in:

The smart light pole of the present invention is equipped with a vehicle monitoring system on the light pole body. The vehicle monitoring system identifies vehicles through a solid-state image sensor, monitors the congestion situation of vehicles through a congestion prediction module, makes a prediction of the congestion time, and informs the follow-up vehicles, allowing subsequent vehicles to automatically divert traffic; using solid-state image sensors to monitor the speed of vehicles on accident-prone road sections in real time, reminding vehicles traveling in the same direction to keep a safe distance to prevent rear-end collisions; reminding vehicles traveling in the opposite direction to keep a proper distance to ensure the safety of passing vehicles; Vehicles approaching intersections with red lights slow down and prepare to brake; when there is a rear vehicle overtaking, the vehicle in front will be reminded.

The intelligent light pole of the present invention is convenient for large-scale installation and use, and it is convenient to carry out overall planning and integrated management of all intelligent light poles in an area, so as to achieve synchronous networking and sharing of intelligent monitoring information.

Description of drawings

Fig. 1 is the electrical structural block diagram of the vehicle monitoring system that the embodiment of the present invention provides;

Fig. 2 is the imaging principle diagram of the solid-state image (CCD) sensor that the embodiment of the present invention provides;

Fig. 3 is the waveform diagram of typical CCD output signal and binarization processing that the embodiment of the present invention provides;

4 is a schematic diagram of the optical system principle of the CCD sensor measuring the size of the object under the uniform background light provided by the embodiment of the present invention;

Fig. 5 is a principle diagram of the CCD level measurement provided by the embodiment of the present invention.

Detailed ways

The specific implementation manner of the present invention will be described in more detail below with reference to schematic diagrams. The advantages and features of the present invention will be more apparent from the following description. It should be noted that all the drawings are in very simplified form and use inaccurate scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

In order to achieve the above object, the present invention provides a smart light pole, including a light pole body and a vehicle monitoring system installed in the light pole body, the vehicle monitoring system includes a solid-state image sensor, a license plate recognition module, a speed measurement module and The position and driving direction recognition module, the license plate recognition module, the speed measurement module and the position and driving direction recognition module are all electrically connected to the solid-state image sensor.

A solid-state image (CCD) sensor is a small solid-state integrated component, the core of which is a Charge Coupled Device (CCD). The solid-state image (CCD) sensor can divide the received light image into many small units and convert them into electrical signals, and then output them sequentially. CCD has the functions of photogenerated charge, accumulation and transfer charge. When a positive voltage is applied to the metal electrode, under the action of the electric field, the holes in the P-type silicon region under the electrode will be driven out, thereby forming a depletion region. That is to say, for negatively charged electrons, this depletion region is a region with very low potential energy, called "potential well". If light is incident on the semiconductor silicon wafer at this time, under the action of photons, electrons and holes are formed on the semiconductor silicon wafer, and the resulting photogenerated electrons are absorbed (or captured) by the nearby potential well, and The holes generated at the same time are repelled out of the depletion region by the electric field. At this time, the number of photogenerated electrons absorbed in the potential well is proportional to the intensity of light incident near the potential well. People call such a MOS structural element a MOS photosensitive element, or a pixel. Usually hundreds or thousands of independent MOS elements are fabricated on a semiconductor silicon wafer, and they are regularly arranged in a linear array or an area array. If a positive voltage is applied to the metal electrode, hundreds or thousands of independent potential wells will be formed on the semiconductor silicon wafer. If it is a bright and dark undulating image irradiated on these photosensitive elements, then at the same time, a photogenerated charge image corresponding to the light intensity will be induced on these photosensitive elements.

The basic working principle of CCD consists of four basic actions: generation of signal charge (conversion of optical signal into electrical signal), storage of signal charge, transfer of signal charge and detection of signal charge.

The CCD sensor is integrated into the roadside light pole body, and the CCD sensor mentioned in this embodiment is a visible light CCD. The CCD sensor has a line array and an area array. This embodiment uses a color line array CCD as an example to illustrate how the CCD sensor integrated in the light pole plays a role in driving safety.

When the car is driving on the road, natural light shines on the body during the day, and the light on the light pole shines on the body at night. Therefore, visible light shines on the car body during the day and night, and the visible light reflected by the car body enters the CCD camera. After binarization image processing, a car-shaped pattern will be seen, as shown in Figure 2.

Specifically, the license plate recognition module performs image processing on the electrical signal output by the solid-state image sensor to identify the license plate information of the cars passing the light pole body.

For example, place a luminous license plate number on the right side of the car. If conditions permit, numbers or letters that directly reflect the length and height of the vehicle body can be added to the license plate number. As shown in the figure below, the CCD sensor can read and display the optical text Come out, so that the license plate numbers of all cars can be quickly identified to distinguish different vehicles. Quickly identify and record the license plate numbers of uncivilized driving or illegal driving and then push them to the traffic police brigade, which is conducive to regulating the driving behavior of drivers and is conducive to the development of drivers' civilized driving behavior habits. At the same time, the original body length and height information of the vehicle can also be identified.

The speed measuring module is used for calculating the speed information of the car by counting fluctuations in the size of the image squares output by two adjacent solid-state image sensors.

Specifically, FIG. 3 shows a waveform diagram of a typical CCD output signal and binarization processing. In the figure, the SH signal is a horizontal sync pulse, and the rising edge of SH corresponds to the first effective pixel output signal of the CCD, and its falling edge is the end of the entire output cycle. UG is the output signal of the green component light, which is the output voltage signal after inverting and amplifying. In order to extract the edge information represented by the UG signal shown in Figure 3, a fixed threshold binarization circuit is used. In this circuit, the positive phase input terminal of the voltage comparator LM393 is connected to the CCD output signal UG, and the input terminal of the inverter is connected to the adjustable level (threshold level) through the potentiometer, which can adjust the binarization The threshold level constitutes a fixed threshold binarization circuit. The signal waveform output by the fixed threshold binarization circuit is defined as TH. After further logical processing, the position information N ₁ and N ₂ of the edge of the object can be extracted. The difference between N ₁ and N ₂ is the number of pixels occupied by the image formed by the measured object on the CCD image plane. The size D' of object A on the image side is:

D'＝(N ₂ -N ₁ )Lo

In the formula, N ₁ and N ₂ are the number of pixels at the boundary position Lo is the size of the CCD image sensitive unit.

Figure 4 shows the optical system of the CCD sensor measuring the size of the object under uniform background light. Obviously, the size D' of the object A on the image side is not only related to the original size of the object A, but also related to the position of the object and the CCD image sensitive surface. In the license plate recognition module, by recognizing the license plate number of the car, the original size of the car can be known and it can be accurately judged whether the cars appearing in different sensors are the same one. The distance L between the car and the light pole can be judged by the size D' of the car in the image square. Assuming that all cars keep driving in a straight line, when the car approaches the light pole, the distance L keeps decreasing until the minimum value Lmin appears; when the car drives away from the light pole, the distance L keeps increasing, that is, only when the car is right in front of the light pole, Only when the minimum value Lmin appears, the size of the corresponding car in the image square is recorded as D ₀ .

There is a CCD sensor in each light pole body, and the position information of each light pole body is determined, so that the output signal of the CCD sensor in each light pole body can be stored in the same single-chip microcomputer, and the single-chip microcomputer is used to form a high-speed The data acquisition and processing system can process and analyze the data. When a moving car passes by two adjacent light pole bodies with a distance of d, it is equivalent to the reflected light on the surface of the car passing through two CCD sensors with a distance of d. During the movement of the car, the size of the corresponding car on the image square on the two CCD sensors will fluctuate, and the sizes D ₀₁ and D ₀₂ of the corresponding car on the image square when the minimum value Lmin appears on the two sensors are respectively analyzed. Due to the distance between the two CCD sensors, there is a time difference between the dimensions D ₀₁ and D ₀₂ of the image square, and this time difference is recorded as t, then the moving speed of the car:

v=d/t

When the measured vehicle speed v is greater than the upper limit value Vmax of the accident-prone road section, the license plate number of the car recognized by the sensor is directly pushed to the traffic police department.

Further, the position and driving direction identification module is used to identify the time when two adjacent solid-state image sensors output the vehicle image information, and determine the driving direction of the vehicle. The position and driving direction identification module is also used to identify the position change of the image point formed by the light beam emitted by the automobile reflective laser on the image surface of the solid-state image sensor, calculate the moving distance of the image point, and measure the lane where the automobile is located.

Specifically, the position information of each light pole is determined. For roads with barriers such as guardrails and green belts, the CCD sensor in the light pole on the same side can conveniently judge through the image information of the car read. Whether the car is driving on the side close to the light pole (the car image on the side close to the light pole is displayed as a car image, and the car image on the other side of the occluder is displayed as a partially blocked car image, so it can be easily distinguished. There are light poles on both sides. If conditions permit, it is recommended to build a partition wall in the middle so that only cars close to the light pole can be identified by the CCD sensor). According to the order in which the same car passes through two adjacent light poles, the driving direction of the car can be judged. For example, for CCDs numbered 1 and 2, the image signal of the same car first appears on the No. 1 CCD, and then the image signal appears on the No. 2 CCD, and the driving direction is specified as the positive direction; otherwise, the same car first appears on the No. An image signal appears on the No. 1 CCD, which stipulates that the driving direction is the reverse direction.

The principle of CCD level measurement based on beam-type structured light is that the fixed beam required for measurement is generated by the laser, and a characteristic light spot is formed on the surface of the measured object. When the surface of the measured object moves along a certain direction, the light spot is on the CCD The position of the image point formed on the image surface also changes accordingly. According to the imaging principle, the position of the measured object surface can be estimated from the moving distance of the image point. The commonly used CCD level measurement principle is shown in Figure 5, assuming that the CCD is perpendicular to the object plane; around the focal length of the lens. Among them, L is the horizontal distance from the center of the CCD lens to the laser light, and d ₁ and d ₂ are the distances from the spot images on object plane 1 and object plane 2 to the center of the CCD image plane. According to the imaging principle, it can be obtained:

From formula (1), the measurement model can be obtained as:

Wherein, a=H, b=Lf/H, d=d ₁ +d ₂ is the pixel displacement of the object plane 2 relative to the object plane 1 . If the parameters and positions of the laser and CCD are determined, the parameters a and b are also determined. However, in actual work, due to the limitations of installation conditions, etc., it is often necessary to avoid precise positioning of lasers and CCDs and precise focusing of CCD lenses; at the same time, in order to simplify the measurement device to reduce costs, under some conditions (such as when the measurement range is small) Fixed focal length lenses can be used. Therefore, the values of parameters a and b are generally estimated by a calibration method to obtain a defocus model.

When a moving car passes the light pole, the laser generates a fixed beam required for measurement. When the car is driving in different lanes, the position of the image point formed by the light point on the CCD image surface also changes accordingly. According to the imaging principle, the image point can be determined by The moving distance of the car is estimated to estimate the position of the car, that is, the lane where the driving car is located can be detected.

Further, the vehicle monitoring system also includes a rear-end collision prediction module. The rear-end collision prediction module is used to judge that two adjacent vehicles are in the same lane according to the output signal of the position and driving direction recognition module, and count the time interval of the rear vehicle passing the preset light pole body relative to the front vehicle, if the time interval If it is less than the first threshold, a first alarm signal is output.

Through the position and driving direction recognition module, it can be judged whether two adjacent vehicles are in the same lane. If you are in the same lane and use the same light pole as a marker, after the vehicle in front passes by, if your vehicle reaches or passes the marker within three seconds, it means that the safe distance between your own vehicle and the vehicle in front is not enough; This car has just reached the marker, which means it is within the safe distance. The speed of all cars, including the speed v ₀ of your own vehicle, can be measured through the speed measurement module. Because the position information of each light pole is known, the current distance between the vehicle in front and your own vehicle can be judged as d ₀ , then The time when the vehicle arrives at or passes the marker (light pole) is:

T ₀ =d ₀ /v ₀

If T ₀ >3s, the distance between vehicles is considered to be a safe distance. If T ₀ ≤3s, the wireless broadcast integrated in the nearest light pole will send out an alarm for slowing down, and then the microphone of the vehicle will receive the sound wave and play it out. Remind drivers to slow down, keep a safe distance, and prevent rear-end collisions. At the same time, the light pole in front of the car emits a sufficient amount of infrared light. Using the detection module in the anti-collision system installed on the car, the detected infrared rays control the braking system of the car to brake to ensure that rear-end collisions will not happen.

Further, the rear-end collision prediction module is also used to calculate the time interval of the rear vehicle passing the preset light pole body relative to the front vehicle if it is judged that two adjacent vehicles are in the same lane according to the signal output by the position and driving direction recognition module, If the time interval is less than a second threshold, a second alarm signal is output; wherein, the second threshold is less than the first threshold.

Specifically, if two cars traveling in the same direction are detected by the CCD sensor as traveling in the same direction, and the two cars are driving in adjacent lanes, and the calculated T ₀ of the car that needs to overtake is ≤2.5s, then the closest The wireless radio integrated in the light pole sends out an alarm for the vehicle in front to drive on the right side of the lane, and then the microphone of the vehicle receives the sound wave and plays it out, reminding the driver to keep a lateral distance from the car about to overtake to ensure the safety of being overtaken. At the same time, the light pole in front of the car sends out an instruction to control the lateral control device of the car, so that the car can drive to the right to ensure the safety of being overtaken. The wireless radio integrated in the light pole closest to the car about to overtake sends out an alarm to keep the car behind to drive on the left side of the lane, and then the microphone of the vehicle receives the sound wave and plays it out, reminding the driver to keep a distance from the car about to be overtaken , to ensure the safety of overtaking. At the same time, the light pole in front of the car sends out an instruction to control the lateral control device of the car, so that the car can drive to the left to ensure the safety of overtaking.

Therefore, the vehicle monitoring system also includes a wireless broadcast module. The wireless broadcasting module is connected with the rear-end collision prediction module, and is used for wirelessly broadcasting the first warning signal and the second warning signal. Moreover, the vehicle monitoring system also includes an infrared emitting module. The infrared emitting module is connected with the rear-end collision prediction module, and is used for emitting infrared rays to the rear vehicle to trigger the anti-collision system installed in the rear vehicle after receiving the trigger signal sent by the rear-end collision prediction module.

Further, the vehicle monitoring system also includes a meeting monitoring module. The meeting monitoring module is electrically connected with the position and driving direction recognition module and the wireless broadcasting module, and is used to judge that two vehicles are driving in the adjacent lane in the opposite direction according to the signal output by the position and driving direction recognition module. When there is no obstruction in the middle of the lane, a third warning signal is output to the wireless broadcast module. The wireless broadcast module is used for wirelessly broadcasting the third alarm signal.

Specifically, if two cars traveling in opposite directions are detected by the CCD sensor, one is traveling in the forward direction and the other is traveling in the opposite direction, and the two cars are driving in adjacent lanes, and no obstruction is detected in the middle of the lane, the nearest car will be selected. The wireless radio integrated in the light pole sends out an alarm to drive on the left side of the lane, and then the vehicle's microphone receives the sound wave and plays it out, reminding the driver to keep a lateral distance from the car that is about to pass to ensure the safety of the pass. At the same time, the light pole in front of the car sends out an instruction to control the lateral control devices of the two cars, so that the cars will both drive to the left to ensure the safety of passing cars.

Moreover, a light pole is also set at each traffic light intersection. When the red light is on, the signal is transmitted to the adjacent light pole (the distance between the adjacent light pole and the traffic light intersection is relatively short), so that the wireless broadcasting integrated in the adjacent light pole Send out an alarm to slow down the vehicles near the light pole and prepare to brake, and then the microphone of the vehicle receives the sound wave and plays it out, reminding the driver to slow down and prepare to brake, so as to avoid the driver from running the red light. At the same time, the light pole in front of the car emits a sufficient amount of infrared money. Using the detection module in the anti-collision system installed on the car, the detected infrared rays control the braking system of the car to brake to ensure that the car will not run a red light.

Further, the vehicle monitoring system also includes a congestion prediction module. The congestion prediction module is electrically connected with the solid-state image sensor and the wireless broadcasting module; the congestion prediction module is used to count the edge signals output by the solid-state image sensor in a unit time so as to analyze the cars passing through the light pole body Counting is carried out, and the probability of congestion and the congestion time are predicted by the number of cars passing by the light pole body per unit time to generate a fourth alarm signal. The wireless broadcast module is used for wirelessly broadcasting the fourth alarm signal.

Specifically, under the action of the clock pulse, the CCD camera converts the light signal reflected by the car into the change of the output voltage, compares the output level through the national threshold binarization processing circuit, and judges the edge signal, and then enters the counter. Cars passing the light pole are counted. The probability of congestion and the congestion time are predicted by the number of cars passing the light pole per unit time. The probability and time of road congestion will be pushed to the car owner, and the route can be re-optimized if conditions permit.

The foregoing are only preferred embodiments of the present invention, and do not limit the present invention in any way. Any person skilled in the technical field, within the scope of the technical solution of the present invention, makes any form of equivalent replacement or modification to the technical solution and technical content disclosed in the present invention, which does not depart from the technical solution of the present invention. The content still belongs to the protection scope of the present invention.

Claims (10)

1. The intelligent lamp post is characterized by comprising a lamp post body and a vehicle monitoring system arranged in the lamp post body, wherein the vehicle monitoring system comprises a solid-state image sensor, a license plate recognition module, a speed measuring module and a position and driving direction recognition module, and the license plate recognition module, the speed measuring module and the position and driving direction recognition module are all in electric signal connection with the solid-state image sensor.

2. The intelligent lamp pole of claim 1, wherein the license plate recognition module performs image processing on the electrical signal output by the solid-state image sensor to recognize license plate information of the automobile passing through the lamp pole body.

3. A smart light pole as claimed in claim 2, wherein the speed measuring module is adapted to calculate speed information of the vehicle by counting fluctuations in the size of the image space output by the two adjacent solid-state image sensors.

4. A smart light pole as claimed in claim 3, wherein said position and direction of travel recognition module is adapted to recognize when two adjacent solid-state image sensors output image information of a vehicle, and determine the direction of travel of said vehicle;

the position and driving direction recognition module is also used for recognizing the position change of an image point formed on the image surface of the solid-state image sensor by the light beam emitted by the automobile reflection laser, calculating the moving distance of the image point and measuring and calculating the lane where the automobile is located.

5. A smart light pole as recited in claim 4, wherein the vehicle monitoring system further comprises a rear-end collision prediction module;

and the rear-end collision prediction module is used for judging that two adjacent vehicles are on the same lane according to the signals output by the position and driving direction recognition module, counting the time interval of the vehicle passing through the preset lamp post body relative to the front vehicle, and outputting a first alarm signal if the time interval is smaller than a first threshold value.

6. The intelligent lamp post of claim 5, wherein the rear-end collision prediction module is further configured to, if it is determined that two adjacent vehicles are on the same lane according to the signal output from the position and driving direction recognition module, count a time interval when the rear vehicle passes through the preset lamp post body relative to the front vehicle, and if the time interval is less than a second threshold, output a second alarm signal; wherein the second threshold is less than the first threshold.

7. A smart light pole as recited in claim 6, wherein the vehicle monitoring system further comprises a wireless broadcast module;

the wireless broadcasting module is connected with the rear-end collision prediction module and is used for wirelessly broadcasting the first alarm signal and the second alarm signal.

8. A smart light pole as recited in claim 5, wherein the vehicle monitoring system further comprises an infrared emission module;

the infrared emission module is connected with the rear-end collision prediction module and is used for emitting infrared rays to a rear vehicle to trigger a collision avoidance system installed in the rear vehicle after receiving the trigger signal sent by the rear-end collision prediction module.

9. The intelligent light pole of claim 7, wherein the vehicle monitoring system further comprises a meeting monitoring module;

the vehicle meeting monitoring module is in electrical signal connection with the position and driving direction identification module and the wireless broadcasting module, and is used for judging that two vehicles oppositely drive in adjacent lanes according to signals output by the position and driving direction identification module and outputting a third early warning signal to the wireless broadcasting module when no shielding object exists in the middle of each lane;

the wireless broadcasting module is used for wirelessly broadcasting the third alarm signal.

10. A smart light pole as recited in claim 7, wherein the vehicle monitoring system further comprises a congestion prediction module;

the congestion prediction module is in electrical signal connection with the solid-state image sensor and the wireless broadcasting module; the congestion prediction module is used for counting the edge signals output by the solid-state image sensor in unit time so as to count the automobiles passing through the lamp post body, and generating a fourth alarm signal by pre-judging the probability of congestion and the congestion time of the number of the automobiles passing through the lamp post body in unit time;

the wireless broadcasting module is used for wirelessly broadcasting the fourth alarm signal.

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