Intelligent traffic container lock electronic police system and monitoring method thereof

Abstract

The invention provides an intelligent traffic container lock electronic police system and a monitoring method thereof, relates to the technical field of container monitoring, and aims to solve the problems that the prior art lacks an intelligent monitoring means, whether a container lock catch entering a park is fixed on a vehicle or not cannot be identified in real time, the management difficulty of a container truck in the park is large, and many potential safety hazards exist. Comprising a camera, a container lock recognition algorithm server, an electronic traffic channel safety monitoring server, an alarm prompting lamp and the like, the camera records a container lock picture and the like and sends the picture to the container lock recognition algorithm server for state recognition, and the state of the container lock is recognized and sent to the electronic traffic channel safety monitoring server; and according to the identification result, whether the gate is opened is judged, and early warning is performed through an alarm prompt lamp. According to the invention, the container lock state of the container entering the park can be identified in real time, the problems of large management difficulty and many potential safety hazards of the container trucks in the park are overcome, and the system monitoring accuracy and park management effectiveness are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of container monitoring, and particularly relates to an intelligent transportation container lock electronic police system and a monitoring method thereof. Background Art

[0002] The statements in this part only provide background technical information related to the present invention, and do not necessarily constitute prior art.

[0003] As an epoch-making revolutionary technology, containers are widely used in modern logistics industry, greatly reducing the logistics cost. With the rapid development of e-commerce, the application of containers is more extensive. Container semi-trailers (referred to as container trucks) are the main force in cargo transportation. The cargo-carrying part of a container semi-trailer is a semi-trailer with a container structure, which is a special transport trailer for carrying containers and is very common on the road, especially in the bonded area.

[0004] Due to the large volume, heavy weight and high value of containers, in order to ensure transportation safety, locks are usually used to lock the containers. There are also various container locks on the current market, but most of them rely on manual inspection of the lock buckle status and lack intelligent monitoring means. Although some high-end locks have the function of anti-destruction alarm, they cannot identify in real time whether the lock buckle is fixed on the vehicle.

[0005] At the same time, there are many container trucks in the park, generally facing problems such as great management difficulty and many safety hazards. The traditional management method is difficult to achieve real-time monitoring and effective management of container transportation. Summary of the Invention

[0006] To overcome the deficiencies of the above-mentioned prior art, the present invention provides an intelligent transportation container lock electronic police system and a monitoring method thereof. Through devices such as a capture camera, an intelligent gateway, a container lock recognition algorithm server, an electronic traffic channel safety monitoring server and an alarm indicator light, the safety of the container lock is detected, and it can identify in real time whether the lock buckle is fixed on the vehicle. At the same time, if no container lock event is found, the alarm indicator light will immediately give a reminder and warning to ensure the safety of the container vehicles entering the park.

[0007] To achieve the above object, one or more embodiments of the present invention provide the following technical solutions:

[0008] The first aspect of the present invention provides an intelligent transportation container lock electronic police system, including:

[0009] A camera, a container lock recognition algorithm server, an electronic traffic channel safety monitoring server and an alarm indicator light;

[0010] The camera is used to record videos of both sides of the container and capture pictures of the container locks, and send the videos of both sides of the container and the pictures of the container locks to the container lock recognition algorithm server;

[0011] The container lock recognition algorithm server is used to receive the videos of both sides of the container and the pictures of the container locks, preprocess the container pictures, recognize the status of the container locks based on the preprocessed images, and send the recognition results to the electronic traffic channel safety monitoring server;

[0012] The electronic traffic channel safety monitoring server is used to display and remind the received recognition results, and judge whether to open the gate according to the recognition results;

[0013] The alarm indicator light is used to give an alarm prompt immediately when the recognition result is that the container lock is not locked.

[0014] As an implementation, it further includes an intelligent gateway and a switch. One end of the intelligent gateway is connected to the switch through a network cable, and the other end is connected to the alarm indicator light through a signal cable.

[0015] As an implementation, the switch is connected to the camera, the container lock recognition algorithm server, the electronic traffic channel safety monitoring server and the intelligent gateway respectively through network cables for data transmission and exchange.

[0016] As an implementation, there are at least four cameras, which are symmetrically installed on the vertical poles on both sides of the checkpoint channel.

[0017] As an implementation, the electronic traffic channel safety monitoring server is connected to the switch and the container recognition algorithm server respectively through a video private network.

[0018] As an implementation, the container lock recognition algorithm server is mainly used to recognize different models of containers, container numbers, and container locks.

[0019] As an implementation, the alarm indicator light is an audible and visual alarm, which is installed on the vertical pole at the checkpoint gate for flashing light prompts and voice reminders.

[0020] The second aspect of the present invention provides a monitoring method for an intelligent transportation container lock electronic police system, including:

[0021] The container vehicle carrying the container enters the checkpoint;

[0022] The camera acquires the videos of both sides of the container and the pictures of the container locks, and sends them to the container lock recognition algorithm server;

[0023] The container lock recognition algorithm server recognizes the photo of the container lock, obtains the recognition result of the container lock, and sends the recognition result to the electronic traffic channel security monitoring server;

[0024] The electronic traffic channel security monitoring server determines whether to open the gate according to the received recognition result. If the recognition result is that the container lock is locked, the checkpoint opens the gate to allow the vehicle to pass. If the recognition result is that the container lock is not locked, the checkpoint does not open the gate and the vehicle cannot enter the park;

[0025] The alarm indicator light gives an alarm prompt according to the unlocked state of the container lock.

[0026] As an implementation, the container lock recognition algorithm server recognizes the photo of the container lock, specifically:

[0027] Preprocess the received photo of the container lock to obtain the preprocessed image;

[0028] Judge whether the preprocessed image is a container. If so, recognize the container lock of the judged container image;

[0029] Use image processing technology to extract the feature information related to the lock from the judged container image;

[0030] Set a threshold, and match the feature information related to the lock with the lock features in the container image dataset with labels. When the matching degree reaches the set threshold, the recognition result is that the container lock is locked. When it does not reach the set threshold, the recognition result is that the container lock is not locked.

[0031] The above one or more technical solutions have the following beneficial effects:

[0032] In this embodiment, a container lock electronic police system for container lock recognition is established. The container lock is recognized at the checkpoint for the container entering the park, and potential safety hazards are discovered and resolved in a timely manner. Through an intelligent and automated method, the safety and efficiency of container transportation are improved, the loss of goods and transportation costs are reduced, and early warning and handling of safety accidents are realized.

[0033] In this embodiment, the system uses external devices such as cameras, container lock algorithm recognition servers, and electronic traffic channel security monitoring servers to perform safety detection of container locks during the time period when container vehicles pass through the park checkpoint. If it is found that the container is not locked, the alarm indicator light at the checkpoint will immediately give a warning to ensure the safety of container vehicles entering the park.

[0034] In this embodiment, by performing safety inspections on all container locks entering the park, the problems of difficult management and many potential safety hazards of traditional container trucks are solved, and real-time monitoring and effective management of container transportation are achieved.

[0035] Advantages of additional aspects of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings forming a part of this specification are used to provide a further understanding of the present invention. The schematic embodiments and descriptions thereof of the present invention are used to explain the present invention and do not constitute an improper limitation to the present invention.

[0037] Figure 1 Schematic structural diagram of an intelligent transportation container lock electronic police system according to Embodiment 1 of the present invention;

[0038] Figure 2 Schematic diagram of safety lock capture and collection of an intelligent transportation container lock electronic police system according to Embodiment 1 of the present invention;

[0039] Figure 3 Schematic diagram of lock box detection and capture at the gate channel of an intelligent transportation container lock electronic police system according to Embodiment 1 of the present invention;

[0040] Figure 4 Schematic diagram of the installation position of the bayonet of an intelligent transportation container lock electronic police system according to Embodiment 1 of the present invention;

[0041] Figure 5 Schematic diagram of a monitoring method of an intelligent transportation container lock electronic police system according to Embodiment 1 of the present invention;

[0042] Figure 6 Flowchart of a monitoring method of an intelligent transportation container lock electronic police system according to Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0044] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0045] Without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0046] Embodiment 1

[0047] The first aspect of the present invention discloses an intelligent transportation container lock electronic police system, including:

[0048] A camera, a container lock recognition algorithm server, an electronic traffic channel safety monitoring server, and an alarm indicator light;

[0049] The camera is used to record videos of both sides of the container and capture pictures of the container lock, and send the videos of both sides of the container and the pictures of the container lock to the container lock recognition algorithm server;

[0050] The container lock recognition algorithm server is used to receive the videos of both sides of the container and the pictures of the container lock, preprocess the container pictures, identify the status of the container lock based on the preprocessed images, and send the recognition result to the electronic traffic channel safety monitoring server;

[0051] The electronic traffic channel safety monitoring server is used to display and remind the received recognition result, and judge whether to open the gate according to the recognition result;

[0052] The alarm indicator light is used to immediately give an alarm prompt when the recognition result is that the container lock is not locked.

[0053] As Figure 1-4 shown, in this embodiment, an electronic police system for container lock recognition is established to recognize the container lock and give an early warning to the containers entering the park at the checkpoint.

[0054] As Figure 1 shown, the electronic police system for container lock includes a camera, a container lock recognition algorithm server, an electronic traffic channel safety monitoring server, and an alarm indicator light.

[0055] The electronic police system further includes an intelligent gateway and a switch. One end of the intelligent gateway is connected to the switch through a network cable, and the other end is connected to the alarm indicator light through a signal cable.

[0056] In this embodiment, the electronic police system for container lock is composed of devices such as a capture camera, a switch, an intelligent gateway, a box lock algorithm recognition server, an electronic traffic channel safety monitoring server, and an alarm indicator light.

[0057] As Figure 1 、 Figure 4 shown, there are at least four cameras, which are symmetrically installed on the vertical poles on both sides of the checkpoint channel to record videos of both sides of the container and capture pictures of the container lock, and obtain the videos of both sides of the container and the pictures of the container lock.

[0058] In this embodiment, when arranging cameras at the bayonet position, multiple cameras are used and symmetrically distributed on the vertical poles on both sides of the bayonet channel to ensure comprehensive camera coverage, so that when the container enters the area, the four locking positions of the container can be identified without monitoring blind spots.

[0059] The cameras are firmly and stably installed on the vertical poles and can withstand bad weather and man-made damage. The cameras are installed at an appropriate height on the vertical poles to avoid being blocked by trees, buildings, etc., ensuring that details such as vehicle locking devices can be clearly captured.

[0060] In this embodiment, according to factors such as road width and vehicle driving direction, the installation angles of the cameras are adjusted to obtain the best monitoring field of view.

[0061] According to the size of the monitoring area and the vehicle driving speed, cameras with appropriate field of view angles and high resolutions are selected to ensure that details such as vehicle locking devices can be clearly captured.

[0062] Considering the night monitoring requirements, cameras with good night vision functions are selected to ensure clear images can still be obtained in case of insufficient light. At the same time, the camera is also equipped with a flash lamp to assist night shooting.

[0063] The camera is also equipped with an infrared cross-beam function to detect whether the container enters the predetermined area and trigger the camera to record videos and take pictures.

[0064] Such as Figure 2 、 Figure 3 As shown, multiple cameras capture and collect the container locks. The specific process is as follows:

[0065] The container truck carrying the container drives into the bayonet position. The infrared cross-beam function of the camera detects that the container enters the bayonet position. When the front-end safety lock of the container enters the bayonet capture area, the cameras on both sides of the bayonet channel capture the front-end safety lock of the container. The container truck continues to drive slowly. When the rear-end safety lock of the container enters the bayonet capture area, the cameras on both sides of the bayonet channel capture the rear-end safety lock of the container, and at the same time, videos on both sides of the container are obtained for easy analysis of the container locks.

[0066] Then the camera is connected to the switch through a network cable, and the switch is connected to the container recognition algorithm server through a video private network. The videos on both sides of the container and the photos of the container locks are sent to the container lock recognition algorithm server through the switch.

[0067] Such as Figure 1 As shown, the container lock recognition algorithm server first connects to the switch through a video private network, and then the switch is connected to the camera through a network cable. It receives the videos on both sides of the container and the photos of the container locks to identify the status of the container locks and sends the recognition results to the electronic channel security monitoring server.

[0068] In this embodiment, the container lock recognition algorithm server is mainly used to recognize different models of containers, container numbers, and container locks, and the algorithm accuracy rate is greater than 95%.

[0069] In the container recognition algorithm server, first preprocess the container lock photo to obtain the preprocessed image, and then determine whether the preprocessed image is a container. If it is, use character recognition technology to recognize the container number of the determined container image. If not, do nothing; at the same time, recognize the container lock of the determined container image to determine whether the container has a lock.

[0070] Among them, (1) Determine whether the preprocessed image is a container.

[0071] In this embodiment, use image processing technology to extract key features from the container image, such as shape, size, color, etc. Match the extracted features with the predefined container template, and judge whether the input image is a container by calculating the similarity or distance metric. If it is, perform container number recognition and container lock recognition; otherwise, do not process.

[0072] (2) Recognize the container number of the determined container image.

[0073] In this embodiment, locate the position of the container number in the container image. Use character recognition technology to determine the approximate position area of the container number by detecting the text area in the image. Segment the located container number area to separate each character from the image. Recognize each segmented character and convert it into a readable text form to obtain the container number.

[0074] Store the container number and the videos on both sides of the container for the effective management of containers in the park later.

[0075] (3) Recognize the container number of the determined container image, and the specific process is as follows:

[0076] In this embodiment, use image processing technology (such as edge detection, template matching, etc.) to extract feature information related to the lock from the preprocessed container image, such as the shape, size, position, etc. of the lock.

[0077] Set certain thresholds and conditions, and match the features related to the lock, such as the shape, size, position, etc. of the lock, with the lock features in the container image dataset with labels to recognize whether the container lock is locked. When the matching degree reaches the set thresholds and conditions, the recognition result is that the container lock is locked; when the matching degree does not reach the set thresholds and conditions, the recognition result is that the container lock is not locked.

[0078] Algorithm model training: Use a container image dataset with labels to train a machine learning model for box lock detection. Optimize the parameters and performance of the model through the training process.

[0079] As Figure 1 shown, the electronic traffic channel security monitoring server is connected to the container lock recognition algorithm server and the switch respectively through a dedicated video network.

[0080] In this embodiment, the electronic traffic channel security monitoring server is used in cooperation with the container lock recognition algorithm server to display and remind the results recognized by the algorithm server through the electronic traffic channel security monitoring server. It has functions such as risk warning, setting the number of box locks recognized, and visual analysis.

[0081] Through the electronic traffic channel security monitoring server, display the received recognition results, and judge whether to open the gate according to the recognition results. If the recognition result is that the container box lock is locked, the checkpoint opens the gate,

[0082] allow the vehicle to pass. If the container box lock is not locked, the checkpoint does not open the gate and the vehicle cannot enter the park.

[0083] At the same time, send the recognition result that the container box lock is not locked to the alarm indicator light through the switch.

[0084] As Figure 1 shown, one end of the intelligent gateway is connected to the switch through a network cable, and the other end is connected to the alarm indicator light through a signal cable.

[0085] In this embodiment, the intelligent gateway is mainly connected to devices such as alarm indicator lights and cameras for easy command control.

[0086] In this embodiment, the alarm indicator light is an audible and visual alarm installed on the vertical pole at the checkpoint gate for flashing light prompts and voice reminders.

[0087] The recognition result that the container box lock is not locked passes through the switch, then is sent to the intelligent gateway through a network cable, and then is sent to the alarm indicator light by the intelligent gateway through a signal cable. The alarm indicator light flashes and gives a voice reminder to achieve the early warning of the alarm indicator light.

[0088] As Figure 1 shown, the switch is connected to the camera, the container lock recognition algorithm server, the electronic traffic channel security monitoring server, and the intelligent gateway respectively through network cables for data transmission and exchange.

[0089] In this embodiment, through the switch, the videos and photos collected by the camera can be sent to the container lock recognition algorithm server, the recognition results of the container lock recognition algorithm server can be sent to the electronic traffic channel security monitoring server, and the recognition results can also be sent to the alarm indicator light.

[0090] As Figure 5 shown, the container truck drives into the checkpoint equipped with the intelligent transportation container lock electronic police system. A number of cameras record photos of the container lock and etc., and send them to the container lock recognition algorithm server for status recognition. The status of the container lock is recognized and sent to the electronic traffic channel safety monitoring server. According to the recognition result, it is judged whether to open the gate, and a warning is given through the alarm indicator light.

[0091] Embodiment 2

[0092] This embodiment provides a monitoring method for an intelligent transportation container lock electronic police system, including:

[0093] S1. The container truck carrying the container enters the checkpoint;

[0094] S2. The camera acquires the videos on both sides of the container and the photos of the container lock, and sends them to the container lock recognition algorithm server;

[0095] S3. The container lock recognition algorithm server recognizes the photos of the container lock, obtains the recognition result of the container lock, and sends the recognition result to the electronic traffic channel safety monitoring server;

[0096] S4. The electronic traffic channel safety monitoring server judges whether to open the gate according to the received recognition result. If the recognition result is that the container lock is locked, the checkpoint opens the gate to let the vehicle pass. If the recognition result is that the container lock is not locked, the checkpoint does not open the gate and the vehicle cannot enter the park;

[0097] S5. The alarm indicator light gives an alarm prompt according to the state that the container lock is not locked.

[0098] As Figure 6 shown, in step S1, the container truck carrying the container enters the checkpoint.

[0099] In this embodiment, in order to monitor the status of the container lock entering the park and at the same time realize the effective management of the containers in the park, an electronic police system for container lock recognition is established. When the container truck carrying the container enters the park checkpoint location, the container lock is recognized and a warning is given.

[0100] As Figure 6 shown, in step S2, the camera acquires the videos on both sides of the container and the photos of the container lock, and sends them to the container lock recognition algorithm server.

[0101] Specifically, when the front-end safety lock of the container enters the capture area of the bayonet, the infrared beam function of the camera detects the position of the container entering the bayonet. When the cameras on both sides of the bayonet channel capture the front-end safety lock of the container, the container truck continues to drive slowly. When the rear-end safety lock of the container enters the capture area of the bayonet, the cameras on both sides of the bayonet channel capture the rear-end safety lock of the container, and at the same time, the videos on both sides of the container are obtained for facilitating the analysis of the container lock.

[0102] Then, it is sent to the container lock recognition algorithm server through a switch.

[0103] If the container truck enters the buckle position at night, the flash is turned on to assist the camera in capturing and collecting.

[0104] Through the above steps, comprehensive image data related to the container lock can be obtained, providing a comprehensive and accurate data basis for the subsequent container lock recognition algorithm server to recognize the state of the container lock, and improving the recognition accuracy.

[0105] As Figure 6 shown, in step S3, the container lock recognition algorithm server recognizes the container lock photo, obtains the container lock recognition result, and sends the recognition result to the electronic traffic channel safety monitoring server.

[0106] S3-1. The container lock recognition algorithm server recognizes the container lock photo.

[0107] Although during the camera capture process, video recording and capture are performed on the container, in order to improve the quality and accuracy of the recognition image, preprocessing and container judgment are performed on the captured image.

[0108] (1) Preprocess the received container lock photo to obtain the preprocessed image.

[0109] In this embodiment, the preprocessing includes operations such as denoising, filtering, and binarization to improve the image quality and recognition accuracy.

[0110] (2) Judge whether the preprocessed image is a container.

[0111] In this embodiment, using image processing technology, key features such as shape, size, and color are extracted from the container image.

[0112] The extracted features are matched with a predefined container template, and by calculating the similarity or distance metric, it is judged whether the preprocessed image is a container. If so, container number recognition and container lock recognition are performed; otherwise, no processing is done.

[0113] Among them, the container template is the existing container data collected.

[0114] (3) Identify the container lock of the judged container image.

[0115] 1) Use image processing technology to extract feature information related to the container lock from the judged container image.

[0116] In this embodiment, use image processing technology (such as edge detection, template matching, etc.) to extract feature information related to the container lock from the preprocessed container image, such as the shape, size, position, etc. of the container lock.

[0117] Among them, the image processing technology can adopt edge detection, template matching, etc., or other existing technologies.

[0118] 2) Set a threshold, and match the feature information related to the container lock with the container lock features in the container image dataset with labels. When the matching degree reaches the set threshold, the recognition result is that the container lock is locked. When it does not reach the set threshold, the recognition result is that the container lock is not locked.

[0119] In this embodiment, set a certain threshold and conditions, and match the features related to the container lock, such as the shape, size, position, etc. of the container lock, with the matching degree of the container lock features in the container image dataset with labels to identify whether the container lock is locked. When the matching degree reaches the set threshold and conditions, the recognition result is that the container lock is locked; when the matching degree does not reach the set threshold and conditions, the recognition result is that the container lock is not locked.

[0120] S3-2. Identify the container number of the judged container image.

[0121] In this embodiment, for the effective management of containers in the park, while identifying the status of the container lock, it is also necessary to obtain the container number. Locate the position of the container number in the container image and identify the container number according to the position.

[0122] (1) Use character recognition technology to locate the approximate position area of the container number in the container image by detecting the text area in the image.

[0123] (2) Segment the located container number area to separate each character from the image.

[0124] (3) Recognize each segmented character and convert it into a readable text form to obtain the container number.

[0125] At the same time, the algorithm model in the container lock recognition algorithm server has been trained. Use a container image dataset with labels to train a machine learning model for container lock detection. Optimize the parameters and performance of the model through the training process.

[0126] Among them, the container image dataset with labels is an existing dataset.

[0127] Finally, the recognition result, the videos on both sides of the container, and the container number are sent to the electronic traffic channel safety monitoring server.

[0128] Through the above steps, the real-time recognition of the container lock state is achieved, and useful information required for park management is obtained, facilitating subsequent operations.

[0129] As Figure 6 shown, in step S4, the electronic traffic channel safety monitoring server determines whether to open the gate according to the received recognition result. If the recognition result is that the container lock is locked, the checkpoint opens the gate to let the vehicle pass. If the recognition result is that the container lock is not locked, the checkpoint does not open the gate and the vehicle cannot enter the park.

[0130] In this embodiment, the electronic traffic channel safety monitoring server displays and stores the received recognition result, the videos on both sides of the container, and the container number, facilitating the calling and viewing for container management in the park.

[0131] According to the recognition result, it is determined whether to open the gate. If the recognition result is that the container lock is locked, the checkpoint opens the gate to let the vehicle pass. If the container lock is not locked, the checkpoint does not open the gate and the vehicle cannot enter the park. At the same time, the recognition result that the container lock is not locked is sent to the alarm indicator light through the switch.

[0132] Through the above steps, it can be ensured that the container locks entering the park are in the locked state, facilitating the effective management of containers in the park subsequently.

[0133] As Figure 6 shown, in step S5, the alarm indicator light gives an alarm prompt according to the unlocked state of the container lock.

[0134] When the container lock is not locked, the alarm indicator light flashes and gives a voice reminder to achieve the alarm prompt.

[0135] Through the above steps, an early warning prompt for the unlocked container lock is realized, enabling the transportation personnel and park management personnel to timely discover the unlocked container lock and take measures, facilitating subsequent container management in the park.

[0136] In the device of the above embodiments, the steps involved correspond to those in the first method embodiment. For the specific implementation manners, reference can be made to the relevant description part of the first embodiment. The term "computer-readable storage medium" should be understood to include a single medium or multiple media containing one or more instruction sets; it should also be understood to include any medium that can store, encode, or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0137] Those skilled in the art should understand that the various modules or steps of the present invention described above can be implemented by a general-purpose computer device. Optionally, they can be implemented by program codes executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0138] Although the specific implementation manners of the present invention have been described above in conjunction with the accompanying drawings, it is not a limitation to the protection scope of the present invention. Those skilled in the art should understand that, based on the technical solutions of the present invention, various modifications or deformations that can be made by those skilled in the art without creative efforts are still within the protection scope of the present invention.

Claims

1. An intelligent traffic container lock electronic police system, characterized in that: include: Cameras, container lock recognition algorithm servers, electronic traffic channel security monitoring servers and alarm prompt lights; The camera is used to record videos on both sides of the container and take snapshots of the container locks, and send the videos on both sides of the container and the photos of the container locks to the container lock recognition algorithm server; The container lock recognition algorithm server is used to receive the video of both sides of the container and the photo of the container lock, pre-process the container photo, identify the state of the container lock based on the pre-processed image, and send the recognition result to the electronic traffic channel security monitoring server; The electronic traffic channel safety monitoring server is used to display the received recognition results and to determine whether to open the gate according to the recognition results; The alarm prompt light is used to give an alarm prompt when the identification result shows that the container lock is not locked.

2. The intelligent traffic container lock electronic police system as claimed in claim 1, characterized in that: It also includes an intelligent gateway and a switch. One end of the intelligent gateway is connected to the switch through a network cable, and the other end is connected to an alarm prompt light through a signal line.

3. The intelligent traffic container lock electronic police system as claimed in claim 2, characterized in that: The switch is connected to the camera, the container lock identification algorithm server, the electronic traffic channel security monitoring server and the intelligent gateway through network cables for data transmission and exchange.

4. The intelligent traffic container lock electronic police system as claimed in claim 1, characterized in that: The cameras include at least four cameras, which are symmetrically mounted on the vertical poles on both sides of the bayonet channel.

5. The intelligent traffic container lock electronic police system as claimed in claim 1, characterized in that: The camera is also equipped with a flash and infrared radiation to assist in recording and capturing photos.

6. The intelligent traffic container lock electronic police system as claimed in claim 1, characterized in that: The electronic traffic channel safety monitoring server is connected to the switch and the container identification algorithm server respectively through a video dedicated network.

7. The intelligent traffic container lock electronic police system as claimed in claim 1, characterized in that: The container lock identification algorithm server is mainly used to identify containers of different models, container numbers, and container locks.

8. The intelligent traffic container lock electronic police system as claimed in claim 1, characterized in that: The alarm prompt light is an audible and visual alarm, which is installed on the vertical pole at the checkpoint gate and is used for flashing lights and voice reminders.

9. A monitoring method for an electronic police system of an intelligent traffic container lock, characterized in that: include: The container truck carries the container into the checkpoint; The camera obtains the video of both sides of the container and the photo of the container lock, and sends it to the container lock recognition algorithm server; The container lock recognition algorithm server recognizes the container lock photo, obtains the container lock recognition result, and sends the recognition result to the electronic traffic channel security monitoring server; The electronic traffic channel security monitoring server determines whether to open the gate based on the received recognition result. If the recognition result shows that the container lock is locked, the gate will open to allow the vehicle to pass. If the recognition result shows that the container lock is unlocked, the gate will not open and the vehicle cannot enter the park. The alarm indicator light gives an alarm prompt according to the unlocked state of the container lock.

10. The method for monitoring the electronic police system of an intelligent traffic container lock as claimed in claim 9, characterized in that: The container lock recognition algorithm server recognizes the container lock photo, specifically: Preprocessing the received container lock photo to obtain a preprocessed image; Determine whether the pre-processed image is a container, and if so, perform container lock recognition on the determined container image; By using image processing technology, feature information related to the container lock is extracted from the determined container image; A threshold is set, and the feature information related to the container lock is matched with the container lock features in the labeled container image dataset. When the matching degree reaches the set threshold, the recognition result is that the container lock is locked. When the set threshold is not reached, the recognition result is that the container lock is unlocked.

Images