WO2020024552A1 - Road safety monitoring method and system, and computer-readable storage medium - Google Patents

Abstract

A road safety monitoring method, comprising the steps of: obtaining, on the basis of face recognition and speed monitoring, speed data corresponding to a travelling object, the type of a transportation tool used, and a speed-limiting threshold corresponding to the type of the transportation tool; if the speed of movement of the travelling object exceeds the speed-limiting threshold corresponding to the type of the transportation tool used by the travelling object, extracting, by means of a face recognition algorithm, corresponding facial feature information from image data, and identifying person identity information corresponding to the facial feature information (S50); and sending warning information to a corresponding receiving end according to the identified person identity information (S60). The speeds of travelling of individuals on a road can be precisely normalized. Also provided are a road safety monitoring system based on face recognition and speed monitoring, and a computer-readable storage medium.

Description

Road safety monitoring method and system, and computer-readable storage medium

This application claims the priority of a Chinese patent application filed on August 1, 2018 with the Chinese Patent Office under the application number 201810865116.X and the invention name "Road Safety Monitoring Method, Road Safety Monitoring System, and Computer-readable Storage Medium", The entire contents of which are incorporated herein by reference.

Technical field

The invention belongs to the field of road monitoring systems, and particularly relates to a road safety monitoring method, a road safety monitoring system, and a computer-readable storage medium based on face recognition and speed detection.

Background technique

The ordinary road monitoring system can only monitor and document the violations of vehicles in violation of traffic rules, and the violations of motor vehicles can only be accurate to the vehicle by copying cards or taking pictures, and then the owners take the initiative to bear Liability for violations, but in order to avoid punishment, many car owners will spend money to buy points or replace someone to accept the punishment. In addition, the existing road monitoring system has almost no normative effect on non-motorized vehicles and pedestrians, and can only be used to retrieve monitoring video in the event of a dispute.

In traffic congestion, campus gates, hospital gates, crossroads, T-junctions and other places, for example, at school gates, students often like to play or juggle (bicycles, electric cars, balance bikes, etc.), but usually on campus gates during school hours There are very many vehicles, which are high-accident road sections. The road monitoring system cannot effectively detect students' running, dragging (biking) and other behaviors, nor can they target dangerous running, dragging behaviors and accountability to the corresponding actual situation. The person who committed the dangerous behavior.

Therefore, it is necessary to provide a new road safety monitoring method to effectively solve the above technical problems.

Summary of the invention

An object of the present invention is to provide a road safety monitoring method, a road safety monitoring system, and a computer-readable storage medium, which can solve the existing problems in the prior art that cannot effectively detect the dangerous behavior of non-motor vehicles, Dangerous behaviors of non-motor vehicles and pedestrians are precisely responsible and regulated to the problem of actual implementers.

In order to overcome the above technical problems, the present invention provides a road safety monitoring method, including steps:

Acquiring real-time movement information of a traveling object detected by the road speed measurement module, the movement information including position data and speed data of the traveling object on a road;

Real-time acquisition of image information collected by image acquisition equipment set on the side of the road;

Obtaining, based on the image information, position information of the traveling object on the road through image recognition, a type of vehicle used by the traveling object, and a speed limit threshold corresponding to the type of vehicle;

Matching the position data of the travelling object detected by the road speed measurement module with the positional information of the travelling object obtained by the image recognition method to determine the vehicle used by each travelling object on the road Type and speed data, and determine whether the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object;

When the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object, the facial feature information corresponding to the traveling object is extracted from the image data through a face recognition algorithm, and the recognition is performed. The personal identity information corresponding to the facial feature information;

According to the identified personal identity information, a warning message is sent to a corresponding receiving end.

Further, it further comprises the steps:

When the moving speed of the traveling object does not exceed the speed limit threshold corresponding to the type of vehicle used by the traveling object, calculating the moving speed and acceleration of the traveling object according to the speed data of the traveling object obtained in real time;

Determining whether the predicted speed of the traveling object after a preset time interval is greater than a preset predicted value according to the current moving speed and acceleration of the traveling object;

When the predicted speed is greater than a preset predicted value, warning information is sent to a corresponding receiving end according to the identified personal identity information.

Further, when the moving speed of the traveling object does not exceed the speed limit threshold corresponding to the type of vehicle used by the traveling object, calculating the speed of the traveling object based on the speed data of the traveling object obtained in real time. After the steps of moving speed and acceleration, it also includes:

Judging whether the current moving speed of the traveling object is greater than a first threshold value, the first threshold value being less than a speed limit threshold value corresponding to the type of vehicle used by the traveling object;

Determining whether the current acceleration of the traveling object is greater than a second threshold;

When at least one of the conditions that the moving speed is greater than a first threshold value or the acceleration is greater than a second threshold value is satisfied, the movement of the traveling object is detected by the road speed measurement module in the traveling direction of the traveling object Information to determine whether the acceleration of the traveling object is reduced;

When the acceleration of the traveling object is not reduced, a warning message is sent to a corresponding receiving end according to the identified personal identity information.

When the acceleration of the traveling object decreases, it proceeds to the step of determining whether the predicted velocity of the traveling object after a preset time interval is greater than a preset predicted value according to the current moving speed and acceleration of the traveling object.

Further, the type of transportation includes one or more of walking, bicycle, electric vehicle, balance vehicle, motor vehicle, and motorcycle.

Further, the speed measurement method of the road speed measurement module is selected from one or more of the following speed measurement methods: infrared speed measurement, radar speed measurement, video speed measurement, coil speed measurement, microwave speed measurement, sonic speed measurement, and laser speed measurement.

Further, after the step of determining whether the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle adopted by the traveling object, the method further includes the following steps:

Obtain the current road position information, and determine whether the current road position information is the road in front of the campus;

When the current road location information is the road in front of the campus, obtain the current campus information and the age range of the students;

When the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object, the corresponding facial feature information is extracted from the image data through a face recognition algorithm, and according to the facial features Information identifying the age information of the traveling object;

Judging whether the age of the traveling object exceeds the acquired age range of the students;

When the age of the traveling object is within the age range of the student, identifying the personal identity information corresponding to the facial feature information, and determining whether the traveling object belongs to a student on the current campus according to the identified personal identity information ;

When the traveling object belongs to a student on the current campus, the warning information is sent to the mobile communication device corresponding to the student, or the teacher and parent information corresponding to the student is obtained, and the mobile communication device corresponding to the teacher and parent corresponding to the student is issued. The warning information.

Further, when the age of the traveling object exceeds the age range of the student, the personal identification information corresponding to the facial feature information is identified, and the mobile communication device of the traveling object is identified according to the identified personal identification information. Issue the warning message.

Further, after the step of determining whether the traveling object belongs to a student on the current campus, the method includes:

When the traveling object belongs to a student on the current campus, according to the identified personal identity information of the student, the speeding behavior of the student is recorded.

The invention also provides a road safety monitoring system based on face recognition and speed monitoring, which includes a plurality of cameras and a plurality of road speed measurement modules disposed on the side of the road, and a server end, the server end includes a communication module, a memory, A processor and a computer program stored in the memory and executable on the processor, the processor implementing the computer program to implement the steps of the road safety monitoring method according to any one of the preceding items.

The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, characterized in that, when the computer program is executed by a processor, the road safety monitoring method according to any one of the preceding claims is implemented. step.

The beneficial effects of the present invention are:

In the road safety monitoring system and method of the present invention, a face recognition function and a speed detection function are combined into one, and it can effectively perform dangerous behaviors of motor vehicles and non-motor vehicles (for example, chasing and playing, fast cycling, etc.). Detect and accurately identify the identity of the traveling object, so that the speed of travel on the road can be accurately regulated to the individual. When the speed of the traveling object on the road exceeds a certain limit threshold, especially in places such as traffic congestion, campus entrances, hospital entrances, crossroads, T-junctions and other places, such as school entrances, students often like to play or juggle. (Bicycles, electric vehicles, balance bikes, etc.), but usually there are many vehicles at the campus gate during school hours, which are high-accident road sections. You can use face recognition and speed monitoring to obtain dangerous behaviors such as chasing frolics and drag racing, and obtain implementation The identity information of the person responsible for the dangerous behavior, so as to warn or record, in order to achieve the purpose of early warning and regulating the dangerous behavior. In addition, the image acquisition device can use existing traffic monitoring equipment or monitoring equipment near the building door to provide image materials for the face recognition module, and can monitor the video in real time, and can call up records at any time to facilitate illegal activities. Report.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly explain the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without paying creative labor.

FIG. 1 is a schematic structural diagram of a module of a road safety monitoring system according to an embodiment; FIG.

2 is a schematic structural diagram of a camera in the road safety monitoring system according to an embodiment;

3 is a schematic layout diagram of a road speed measurement module in the road safety monitoring system according to an embodiment;

4 is a flowchart block diagram of a road safety monitoring method in a first embodiment of the present invention;

5 is a flowchart of a road safety monitoring method in a second embodiment of the present invention;

FIG. 6 is a flowchart of a road safety monitoring method according to a third embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Referring to FIG. 1, a road safety monitoring system 100 according to an embodiment of the present invention includes an image acquisition device 10, a road speed measurement module 20, and a server 30.

The image acquisition device 10 and the road speed measurement module 20 of the road safety monitoring system 100 may be erected on the corresponding road side. The server 30 may include a communication module 31, a memory 32, a processor 33, and a computer program stored in the memory 32 and executable on the processor 33. Further, the road safety monitoring system 100 also communicates with a cloud service platform through the communication module 31.

In this embodiment, the image acquisition device 10 may be installed on both sides of the road, at the center of the intersection, and the like, so as to comprehensively and conveniently collect image information of people or vehicles traveling on the road. Specifically, the image acquisition device 10 may be a camera with adjustable shooting angle, a face tracking camera with intelligent control, and the like.

Referring to FIG. 2, in a specific example, the image acquisition device 10 may include a camera 1, a metal fixed base 2, a ball head 3, and a fixed ring 4.

The image acquisition device 10 can be fixed on the street light stand or the camera bracket through the metal fixing base 2. For example, by setting a mounting hole in the metal fixing base 2, the image can be screwed through the mounting hole and screwed into the camera bracket. The collection device 10 is fixed on a camera bracket.

The connection between the camera 1 and the metal fixed base 2 can be a ball joint, and the flexible rotation of the camera 1 can be realized by using the 360 degree of freedom of rotation of the ball joint to adjust the shooting direction. Specifically, the ball head 3 and the metal fixed base 2 can also be fixed by the fixing ring 4, thereby increasing the stability between the ball head 3 and the metal fixed base 2. For example, the fixing ring 4 can be provided with three screw holes arranged in a circle, and the mounting bases of the metal fixing base 2 and the ball head 3 are provided with screw holes corresponding to the screw holes. The cooperation of the screw hole and the screw socket realizes the fixing of the fixing ring 4 with the metal fixing base 2 and the ball head 3.

Further, referring to FIG. 3, the road speed measurement module 20 may be generally disposed on both sides of the road to perform the moving speed of pedestrians, bicycles, electric cars, balance cars, motor vehicles, motorcycles, etc. traveling on the road. Detecting; thereby realizing effective detection of dangerous behaviors of motor vehicles and non-motor vehicles (for example, chasing and playing, fast cycling, etc.).

Please refer to FIG. 1 again, the server 30 may communicate with the image acquisition device 10 and the road speed measurement module 20, and the server 30 may obtain image data collected by the image acquisition device 10 and movement information of the traveling object collected by the road speed measurement module 20 The movement information includes position data and speed data of the traveling object on the road.

The server 30 also includes a communication module 31. The road safety monitoring system 100 communicates with the outside through the communication module 31. For example, the road safety monitoring system 100 communicates with the cloud service platform 101, mobile communication equipment, public security alarm system, etc. through the communication module 31. Communication.

The server 30 may be a desktop computer device, a central control server system, a central control gateway, and the like, which are not specifically limited herein.

In conjunction with FIG. 4, a road safety monitoring method 400 in the first embodiment of the present invention includes steps:

In step S10, real-time movement information of the traveling object detected by the road speed measurement module is acquired, and the movement information includes position data and speed data of the traveling object on the road.

Specifically, the road speed measurement module 20 provided on both sides of the road can be used to obtain the movement information of the traveling object on the road in real time, so as to detect pedestrians, bicycles, electric cars, balance cars, motor vehicles, motorcycles, etc. Speed of movement.

It can be understood that the speed measurement method of the road speed measurement module 20 is selected from one or more of the following speed measurement methods: infrared speed measurement, radar speed measurement, video speed measurement, coil speed measurement, microwave speed measurement, sonic speed measurement, and laser speed measurement.

Among them, those skilled in the art can understand that when the road speed measurement module 20 detects the speed data of one or more traveling objects on the road, it can also recognize that the traveling objects are on the road. Position data; for example, in the embodiment of moving speed measurement by reflection of mechanical wave or electromagnetic wave such as infrared / radar / microwave / sound wave, the distance measurement technology by sound wave reflection, light wave phase method distance measurement technology, or light wave pulse distance measurement technology To realize the positioning function of the traveling object at the same time, it will not be repeated here.

In step S20, image information collected by a camera set on the side of the road is acquired in real time.

In this embodiment, the image acquisition device 10 may be a high-speed camera, or a common image acquisition camera. When the image acquisition device 10 uses a high-speed camera, the speed measurement function of the road speed measurement module 20 can also be implemented by analyzing and processing the images collected by the high-speed camera. As a result of analyzing the acquired images, the functions of the road speed measurement module 20 can be realized at the same time.

The image collection device 10 can collect image information in a real-time manner around the clock, a real-time manner in a predetermined time period (for example, peak period, school time, etc.), or a random acquisition mode.

In step S30, according to the image information, the position information of the traveling object on the road is acquired by means of image recognition, the type of vehicle used by the traveling object, and the speed limit threshold corresponding to the type of vehicle.

In a specific example, image analysis of each frame in the image information acquired by the image acquisition device 10 may be performed to extract feature information of the traveling object and vehicle characteristics corresponding to the traveling object, thereby determining Location information of one or more objects traveling on the road and the type of vehicle used.

Wherein, the type of transportation includes one or more of walking, bicycle, electric vehicle, balance vehicle, motor vehicle, and motorcycle.

In addition, speed limit thresholds corresponding to different types of vehicles on different road sections are preset on the server 3.

For example, different vehicle types have different speed limit thresholds. Pedestrians often fall or collide easily during running. The speed limit threshold can be 10 to 18 km / h; the speed limit threshold for cycling can be slightly higher. Pedestrians, for example at 20-30 km / h.

For another example, the speed limit threshold may also be set according to different road sections. For example, the road speed limit threshold may be appropriately increased, and the speed limit threshold for pedestrians may be 12-25 km / Hours; cycling speed limit thresholds can be 25 to 40 km / h; in traffic congestion, campus entrances, hospital entrances, intersections, T-junctions and other places, the speed limit threshold can be appropriately reduced or set as required, for pedestrians The speed limit threshold can be 6-9 km / h; the speed limit threshold for cycling can be 12-18 km / h.

Step S40: Match the position data of the travelling object detected by the road speed measurement module with the positional information of the travelling object obtained by the image recognition method, and determine the method used by each travelling object on the road. The vehicle type and speed data of the vehicle, and determine whether the moving speed of the traveling object exceeds a speed limit threshold corresponding to the vehicle type adopted by the traveling object.

Specifically, at the same time, the position data of the traveling object detected by the road speed measurement module and the position information of the traveling object obtained by the image recognition method should be consistent. Therefore, by using the road speed measurement module, The detected position data of the traveling object is matched with the position information of the traveling object obtained by the image recognition method, and two different analysis results can be obtained. The action objects corresponding to the same position data are The same one; therefore, the type of vehicle and speed data used by each traveling object on the road can be obtained.

Further, it is determined whether the moving speed of each traveling object on the road exceeds a speed limit threshold corresponding to the type of vehicle adopted by the traveling object.

Step S50: When the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object, extract corresponding facial feature information from the image data through a face recognition algorithm, and identify Personal identity information corresponding to the facial feature information.

In step S60, a warning message is sent to the corresponding receiving end according to the identified personal identity information.

The receiving end corresponding to the personal identity information may be various hardware terminals or software such as the mobile communication device of the traveling object, the emergency contact / guardian mobile phone of the traveling object, an email account, an APP account, and a social account. This is not specifically limited here.

In addition, the warning information may be pushed in the form of phone, email, social software message, text message or voice message, etc .; the content of the warning information includes traffic punishment information, warning information including dangerous behavior records, and warm reminder information 2. The identity information of the person who carried out the dangerous behavior and the information on the dangerous behavior, the identity information of the person who carried out the dangerous behavior and the historical records of the dangerous behavior, etc., will not be specifically restricted again.

It can be understood that, in this embodiment, combined with the speed detection of face recognition, it can effectively detect dangerous behaviors of motor vehicles and non-motor vehicles (for example, chasing playfulness, fast cycling, etc.), and accurately Identify the identity of the traveling object, so that the speed of travel on the road can be accurately regulated to the individual.

For example, when the speed of travelling objects on the road exceeds a certain limit threshold, especially in places such as traffic congestion, campus entrances, hospital entrances, crossroads, T-junctions and other places, such as school entrances, students often like to play or play or play Students drag racing (bicycles, electric cars, balance bikes, etc.), but usually there are many vehicles at the campus gate during school hours, which are high-incidence road sections. You can use face recognition and speed monitoring to obtain dangerous behaviors such as chasing frolics and drag racing, and Obtain the identity information of the person who carried out the dangerous behavior, so as to warn or record, in order to achieve the purpose of early warning and regulating the dangerous behavior.

In the road safety monitoring method of this embodiment, by detecting the speed of face recognition, it is determined whether the moving speed of the traveling object exceeds a speed limit threshold, thereby obtaining the identity information of the person corresponding to the traveling object; and according to the identified location, The personal identity information is described, and warning information is sent to the corresponding receiving end, so that the speed of travel on the road can be accurately regulated to the individual.

Further, please refer to FIG. 5, which is a road safety monitoring method in a second embodiment of the present invention. Steps S10 to S60 in the method are similar to the first embodiment, and are not described herein again; the difference is that: After step S40, the method further includes steps:

Step S70: when the moving speed of the traveling object does not exceed the speed limit threshold corresponding to the type of vehicle used by the traveling object, calculate the moving speed of the traveling object according to the speed data of the traveling object obtained in real time And acceleration.

It can be understood that according to the change value of the velocity data in the movement information of the traveling object obtained in real time and the detection time interval, the technical formula of the acceleration a = v _t -v ₀ / △ t can be calculated Describes the acceleration of the traveling object.

Step S80: Determine whether the predicted speed of the traveling object after a preset time interval is greater than a preset predicted value according to the current moving speed and acceleration of the traveling object.

It can be understood that, although the current moving speed of a traveling object does not exceed a preset threshold, the traveling object is accelerating, for example, when a student is chasing and playing, the running speed may be faster and slower, but at this time because the student Attention is still frolicking, and traffic risks may still occur; for example, when the bicycle is accelerating, traffic risks may occur due to reasons such as failure to decelerate in time; at this time, the future of the traveling object is based on the current movement speed and acceleration. It is necessary to predict the speed of travel.

For example, in this embodiment, it is determined whether the predicted speed of the traveling object after a preset time interval is greater than a preset prediction value according to the current moving speed and acceleration of the traveling object; wherein the preset time interval It can be 2-10 seconds. The preset time interval can be set according to the interval set by the image acquisition device 10 and the road speed measurement module 20, for example, if the image acquisition device 10 and the road speed measurement module 20 are closely set on a road, the travel The moving speed and travel situation of the object can be obtained in real time, the preset time interval may be relatively short, or the preset time interval is not set; if the image acquisition device 10 and the road speed measurement module 20 on the road are relatively sparsely set , The preset time interval may be designed according to the interval set by the image acquisition device 10 and the road speed measurement module 20, so that the traveling object enters the detection range of the next image acquisition device 10 and the road speed measurement module 20 The behavior within the line can be effectively predicted.

In step S90, when the predicted speed is greater than a preset predicted value, warning information is sent to a corresponding receiving end according to the identified personal identity information.

In this embodiment, by obtaining the current moving speed and acceleration of the traveling object, and predicting the predicted speed of the traveling object after a preset time interval, it can be effective when the predicted speed is greater than a preset predicted value, according to The identified personal identity information sends a warning message to the corresponding receiving end. In an embodiment, after step S70, the method may further include:

In step S71, it is determined whether the current moving speed of the traveling object is greater than a first threshold value, and the first threshold value is less than a speed limit threshold value corresponding to the type of vehicle used by the traveling object.

Step S72: Determine whether the current acceleration of the traveling object is greater than a second threshold.

Step S73: When at least one of the conditions that the moving speed is greater than the first threshold value or the acceleration is greater than the second threshold value is satisfied, according to the travel detected by the road speed measurement module in the travel direction of the travel object The movement information of the object determines whether the acceleration of the traveling object is reduced.

It can be understood that although the current moving speed of a traveling object does not exceed the preset threshold, if the current speed is still close to the speed limit threshold or the acceleration is very large, there is still a risk; at this time, in this implementation In the example, by presetting a first threshold that is smaller than the speed limit threshold corresponding to the type of vehicle used by the traveling object and a second threshold of acceleration; determining whether the current moving speed of the traveling object is greater than the first threshold, Or whether the current acceleration of the traveling object is greater than a second threshold; when at least one of the conditions is satisfied, determining whether the traveling object's acceleration is decreasing to determine the future traveling speed of the traveling object, thereby determining whether it is required Initiate an alert.

In step S74, when the acceleration of the traveling object is not reduced, a warning message is sent to the corresponding receiving end according to the identified personal identity information.

Step S75: When the acceleration of the traveling object decreases, proceed to the step of determining whether the predicted velocity of the traveling object after a preset time interval is greater than a preset prediction value according to the current moving speed and acceleration of the traveling object. .

It can be understood that, in this embodiment, by comparing the current moving speed of the traveling object with the first threshold, and simultaneously comparing the current acceleration of the traveling object with a second threshold, when When at least one condition is satisfied, determine whether the traveling object's acceleration is reduced to determine the future traveling speed of the traveling object, thereby determining whether an alarm needs to be issued; when the acceleration is decreasing or a negative acceleration (ie, deceleration) occurs It can be confirmed that the current risks are relatively small. For example, running students are not accelerating anymore, they are just trotting, or their bicycles are decelerating. When the acceleration is still increasing, it can be judged that not only the moving speed of the traveling object is increasing, but also the acceleration is increasing. At this time, an alarm message needs to be issued.

Please refer to FIG. 6 together, which is a road safety monitoring method according to a third embodiment of the present invention. Steps S10 to S60 in the method are similar to the first embodiment and the second embodiment, and are not repeated here; The step S40 further includes the following steps:

Step S41: Acquire current road position information, and determine whether the current road position information is a road in front of a campus.

Step S42: When the current road position information is a road in front of a campus, obtain the current campus information and the age range of the students.

Because of the entrance of the school, students often like to play around or drag their bikes (bicycles, electric bikes, balance bikes, etc.), but usually there are many vehicles at the gate of the campus during school hours, which are high-accident road sections. The speed monitoring acquires behaviors such as frolicking, drag racing, etc., and obtains the identity information of the student, so as to carry out targeted warnings (sent to parents, teachers, himself, etc.) or records to achieve the purpose of early warning and regulating student behavior.

In this embodiment, after the step S40: determining whether the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object, when it is confirmed that an overspeed behavior occurs, it may be further based on The image acquisition device 10 and the road speed measurement module 20 that have collected the image information of the traveling object, obtain the corresponding current road position information, and then determine whether the current road position information is a campus doorway; after confirming that it is a campus doorway While on the road, further obtain current campus information and student age range. For example, the age range of students in kindergartens, the age range of students in primary schools, and the age range of students in middle schools.

Step S43: When the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object, extract corresponding facial feature information from the image data through a face recognition algorithm, and according to the The facial feature information identifies age information of a traveling object.

It can be understood that the current portrait recognition technology can automatically identify the age of the traveling object based on the feature information of the face in combination with an algorithm, and the recognition accuracy rate is high. The corresponding facial feature information can be extracted from the image data through a face recognition algorithm, and the age information of the traveling object is identified based on the facial feature information, as a judgment for whether the traveling object is a student of a school corresponding to the campus road section. basis.

Step S44: Determine whether the age of the traveling object exceeds the acquired age range of the students;

Step S45: When the age of the traveling object is within the age range of the student, identify the personal identity information corresponding to the facial feature information, and determine whether the traveling object belongs to the current one according to the identified personal identity information. Students on campus.

Specifically, when the identified age range of the detected traveling object meets the conditions, the personal identity information corresponding to the facial feature information can be further identified, and whether the traveling object belongs to is determined based on the identified personal identity information. Students currently on campus.

In step S46, when the traveling object belongs to a student in the current campus, the warning information is sent to the mobile communication device corresponding to the student, or information about the teacher and parent corresponding to the student is obtained, and the teacher and parent corresponding to the student are moved. The communication device sends the warning information.

Further, after step S44, the method further includes:

Step S47: When the age of the traveling object exceeds the age range of the student, identify the personal identity information corresponding to the facial feature information, and send the mobile communication device to the traveling object according to the identified personal identity information. Issue the warning message.

In addition, when the traveling object does not belong to a student on the current campus, the process also proceeds to step S47.

Further, after step S46, the method further includes:

When the traveling object belongs to a student on the current campus, according to the identified personal identity information of the student, the speeding behavior of the student is recorded.

It can be understood that, in this embodiment, by confirming that the moving speed of the traveling object exceeds a preset threshold, that is, when an overspeed behavior occurs, the image acquisition device 10 that further captures image information of the traveling object may be further The road speed measurement module 20 and mobile information obtain the corresponding current road position information, and then determine whether the current road position information is a campus doorway; when it is confirmed that it is a campus doorway, further obtain the current campus information and the age range of the students; in When it is judged that the age range of the identified traveling object is consistent, further identifying the personal identity information corresponding to the facial feature information, and judging whether the traveling object belongs to the students of the current campus according to the identified personal identity information; Behaviors such as running, drag racing, etc., can obtain the student's identity information, so as to conduct targeted warnings (sending the warning information to parents, teachers, myself, etc.) or record the student's speeding behavior in order to achieve early warning and regulate student behavior purpose.

With reference to FIG. 1 and FIGS. 4-6, the road safety monitoring system 100 based on face recognition and speed monitoring provided by the present invention includes a plurality of image acquisition devices 10 and a plurality of roads disposed on the side of the road. The speed measurement module 20 and the server 30, the server 30 includes a communication module 31, a memory 32, a processor 33, and a computer program stored in the memory 32 and executable on the processor 33, the processing When the computer 33 executes the computer program, the steps of the road safety monitoring method based on face recognition and speed monitoring according to any one of the embodiments are implemented.

The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the face-based recognition and speed monitoring according to any one of the embodiments is implemented Steps of a road safety monitoring method.

It should be noted that, because the computer program of the computer-readable storage medium implements the steps of the foregoing method when the computer program is executed by the processor, all embodiments of the above method are applicable to the computer-readable storage medium, and all can achieve the same or similar Beneficial effects.

The sequence numbers of the foregoing embodiments of the present invention are only for description, and do not represent the superiority or inferiority of the embodiments.

In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For a part that is not described in detail in an embodiment, reference may be made to the description of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner. For example, multiple units or components may be combined or may be combined. Integration into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, units or modules, and may be electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objective of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist separately physically, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional unit.

When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention essentially or part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium Including a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The foregoing storage media include: U disks, Read-Only Memory (ROM), Random Access Memory (RAM), mobile hard disks, magnetic disks, or optical disks, and other media that can store program codes .

The above are only preferred embodiments of the present invention, and thus do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the description and drawings of the present invention, or directly or indirectly used in other related technical fields All are included in the patent protection scope of the present invention.

Claims (10)

1. A road safety monitoring method is characterized in that it includes steps:

   Acquiring real-time movement information of a traveling object detected by the road speed measurement module, the movement information including position data and speed data of the traveling object on a road;

   Real-time acquisition of image information collected by image acquisition equipment set on the side of the road;

   Obtaining, based on the image information, position information of the traveling object on the road through image recognition, a type of vehicle used by the traveling object, and a speed limit threshold corresponding to the type of vehicle;

   Matching the position data of the travelling object detected by the road speed measurement module with the positional information of the travelling object obtained by the image recognition method to determine the vehicle used by each travelling object on the road Type and speed data, and determine whether the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object;

   When the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object, the facial feature information corresponding to the traveling object is extracted from the image data through a face recognition algorithm, and the recognition is performed. The personal identity information corresponding to the facial feature information;

   According to the identified personal identity information, a warning message is sent to a corresponding receiving end.
2. The method for monitoring road safety according to claim 1, further comprising the step of:

   When the moving speed of the traveling object does not exceed the speed limit threshold corresponding to the type of vehicle used by the traveling object, calculating the moving speed and acceleration of the traveling object according to the speed data of the traveling object obtained in real time;

   Determining whether the predicted speed of the traveling object after a preset time interval is greater than a preset predicted value according to the current moving speed and acceleration of the traveling object;

   When the predicted speed is greater than the preset predicted value, a warning message is sent to a corresponding receiving end according to the identified personal identity information.
3. The road safety monitoring method according to claim 2, characterized in that, when the moving speed of the traveling object does not exceed the speed limit threshold corresponding to the type of vehicle adopted by the traveling object, according to all obtained in real time After describing the speed data of the traveling object and calculating the moving speed and acceleration of the traveling object, the method further includes:

   Judging whether the current moving speed of the traveling object is greater than a first threshold value, the first threshold value being less than a speed limit threshold value corresponding to the type of vehicle used by the traveling object;

   Determining whether the current acceleration of the traveling object is greater than a second threshold;

   When at least one of the conditions that the moving speed is greater than a first threshold value or the acceleration is greater than a second threshold value is satisfied, the movement of the traveling object is detected by the road speed measurement module in the traveling direction of the traveling object Information to determine whether the acceleration of the traveling object is reduced;

   When the acceleration of the traveling object is not reduced, a warning message is sent to a corresponding receiving end according to the identified personal identity information.

   When the acceleration of the traveling object decreases, it proceeds to the step of determining whether the predicted velocity of the traveling object after a preset time interval is greater than a preset predicted value according to the current moving speed and acceleration of the traveling object.
4. The road safety monitoring method according to claim 1, characterized in that:

   The vehicle type includes one or more of walking, bicycle, electric vehicle, balance vehicle, motor vehicle, and motorcycle.
5. The road safety monitoring method according to claim 1, characterized in that:

   The speed measurement method of the road speed measurement module is selected from one or more of the following speed measurement methods: infrared speed measurement, radar speed measurement, video speed measurement, coil speed measurement, microwave speed measurement, acoustic speed measurement, and laser speed measurement.
6. The road safety monitoring method according to any one of claims 1-5, wherein the step of determining whether the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object After that, it also includes steps:

   Obtain the current road position information, and determine whether the current road position information is the road in front of the campus;

   When the current road location information is the road in front of the campus, obtain the current campus information and the age range of the students;

   When the moving speed of the traveling object exceeds a speed limit threshold corresponding to the type of vehicle used by the traveling object, the corresponding facial feature information is extracted from the image data through a face recognition algorithm, and according to the facial features Information identifying age information of the traveling object;

   Judging whether the age of the traveling object exceeds the acquired age range of the students;

   When the age of the traveling object is within the age range of the student, identifying the personal identity information corresponding to the facial feature information, and determining whether the traveling object belongs to a student on the current campus according to the identified personal identity information ;

   When the traveling object belongs to a student on the current campus, the warning information is sent to the mobile communication device corresponding to the student, or the information of the teacher and parent corresponding to the student is obtained, and the mobile communication device corresponding to the teacher and parent of the student The warning information.
7. The road safety monitoring method according to claim 6, further comprising the step of:

   When the age of the traveling object exceeds the age range of the student, enter the facial feature information extracted from the image data through the face recognition algorithm, and identify the personal identity information corresponding to the facial feature information A step of.
8. The road safety monitoring method according to claim 6, wherein after the step of determining whether the traveling object belongs to a student of the current campus, the method comprises:

   When the traveling object belongs to a student on the current campus, according to the identified personal identity information of the student, the speeding behavior of the student is recorded.
9. A road safety monitoring system includes a plurality of image acquisition devices, a plurality of road speed measurement modules, and a server. The server includes a communication module, a memory, a processor, and a storage device stored in the memory. A computer program operable on the processor, wherein the processor implements the steps of the road safety monitoring method according to any one of claims 1 to 8 when the processor executes the computer program.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the road safety monitoring method according to any one of claims 1 to 8. A step of.

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