A truck scale anti-cheating method and system based on identification of a co-driver

Abstract

A kind of automobile scale anti-cheating method and system based on co-driver identification.The present application has the beneficial effects that: the present application is aimed at the co-driver cheating scene, by accurately installing the image acquisition unit on the co-driver side stand of the truck scale, and combining the pulse light compensation of the special light compensation module and the wide dynamic function of the camera, high-definition image acquisition under all-weather complex lighting conditions is realized; the processing control unit is embedded with a deep learning recognition model, which can accurately judge whether there is a co-driver in milliseconds, and send a hardware interrupt instruction to the measurement module through the relay output, synchronously trigger the sound-light alarm and push the encrypted abnormal record, forming a complete automatic closed loop of "recognition-alarm-control-evidence"; specific implementation schemes such as clear hardware installation parameters and on-site ROI drawing process are also provided, which greatly reduces the deployment difficulty, effectively replaces the manual monitoring mode, improves the safety and reliability of the measurement system, and significantly reduces the labor cost of enterprises.

Description

Technical Field

[0001] This invention relates to the field of industrial intelligent monitoring and metering technology, specifically to a method and system for preventing cheating on truck scales based on co-driver identification. Background Technology

[0002] With the development of intelligent manufacturing and logistics automation, unmanned intelligent truck scale systems have been widely used in industries such as steel, coal, chemicals, and ports. These systems significantly improve weighing efficiency, reduce labor costs, and achieve automated management of the weighing process through technologies such as automatic license plate recognition, RFID card reading, dynamic weighing, and remote data transmission.

[0003] However, while existing intelligent metering systems eliminate manual intervention, they have significant blind spots in real-time monitoring of the vehicle's interior. Particularly concerning is the critical area of ​​the passenger seat, where effective automated monitoring methods are lacking, creating new management loopholes. In practice, it has been found that criminals often hide in the passenger seat during vehicle weighing, artificially increasing the vehicle's tare weight or gross weight, leading to distorted weighing data and causing significant economic losses to businesses.

[0004] Currently, there are two main approaches to addressing the aforementioned cheating: one is to rely on monitoring center personnel to watch video footage in real time, and the other is to manually review and audit the recorded footage afterward. However, these methods have the following inherent drawbacks: Poor real-time performance: Human monitoring is prone to fatigue and negligence after long hours of duty, making it difficult to detect cheating in time. Inefficient: Post-event review requires a lot of manpower to review a massive amount of video footage, and it is difficult to accurately pinpoint the moment of cheating; Incomplete chain of evidence: Relying solely on video footage cannot automatically link it to measurement data, making it difficult to form complete and tamper-proof evidence of cheating; Lack of linkage control: The existing system only has monitoring functions and cannot automatically interrupt the metering process when cheating is detected. Cheating is often only discovered after it has been completed and caused losses.

[0005] Therefore, there is an urgent need for a technical solution that can automatically, accurately, and in real time identify the status of the passenger in the front seat and achieve intelligent linkage control with the metering system, so as to fundamentally plug this management loophole and ensure the safety of corporate assets. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings and defects of the existing technology by providing a method and system for preventing cheating on truck scales based on co-driver identification.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: a method and system for preventing cheating on a truck scale based on passenger-side recognition, comprising: a dedicated supplementary lighting module, consisting of an external flash lamp, used to provide pulsed supplementary lighting during image acquisition to suppress window reflections; an image acquisition and analysis module, including an image acquisition unit and a processing and control unit: the image acquisition unit is a high-definition intelligent capture camera, installed on the passenger-side upright of the truck scale, used to acquire high-definition images from the passenger-side; the processing and control unit includes a processor and a memory, the memory storing a computer program and a recognition model, and the processor executing the computer program to realize passenger-side recognition and linkage control functions; The metering module, part of the intelligent truck scale weighing system, is used to measure vehicle weight and communicates with the processing control unit to receive control commands for interruption, locking, or normal metering. The alarm module, including an LED display and a voice alarm, is located at the truck scale exit for on-site warnings and alerts. The data management terminal receives, stores, and manages various data records generated by the system and provides remote monitoring and auditing functions. The dedicated supplementary lighting module is connected to and synchronously controlled by the image acquisition unit. The image acquisition unit transmits the acquired images to the processing control unit, which communicates with the metering module, alarm module, and data management terminal.

[0008] Furthermore, the processing control unit is embedded in the image acquisition unit.

[0009] Furthermore, the processing control unit is connected to the control terminal of the metering module through a relay output interface. When the identification result is "occupied", an interrupt signal is output through the relay to realize hardware-level metering interrupt control.

[0010] Furthermore, the high-definition intelligent capture camera has a wide dynamic range function and works in conjunction with the pulsed fill light of the dedicated fill light module to achieve clear imaging under complex lighting conditions such as backlight and night.

[0011] A method for preventing cheating on a truck scale based on passenger-side recognition is characterized by its application in a truck scale anti-cheating system based on passenger-side recognition, specifically including the following steps: system initialization, entering standby mode; detecting a vehicle entering the weighing area of ​​the truck scale; responding to a trigger signal generated by a grating or radar detection device, synchronously controlling the exposure of the image acquisition unit and the strobe light of the dedicated supplementary lighting module for pulse supplementary lighting; acquiring a high-definition image of the passenger side; preprocessing the acquired image, and extracting the region of interest (ROI) of the passenger seat area based on pre-generated and stored recognition area coordinates; inputting the extracted ROI image into a pre-trained recognition model, and outputting the recognition result of whether a person is present in the passenger seat; based on... The decision is made based on the identification result: if the identification result is "no one", a normal measurement signal is sent to the measurement module, allowing the weighing to be completed and the vehicle to pass; if the identification result is "someone", it is determined to be a cheating anomaly, triggering the anomaly handling process; in the anomaly handling process, the following operations are performed simultaneously: send an interrupt and lock command to the measurement module to suspend the current measurement process and lock the collected weight data; drive the alarm module to perform on-site audible and visual alarms; generate an anomaly record, which is at least associated with the vehicle information, timestamp, global scene image, close-up image of the passenger area, and locked weight data of this weighing, and push the anomaly record to the data management terminal in real time; end the single weighing anti-cheating process and return to standby state.

[0012] Furthermore, the ROI is pre-generated and stored through the following steps: during the system debugging phase, a rectangle is manually drawn in the real-time video frame using client software to select the passenger seat area; the coordinate parameters of the drawn rectangle are saved to the memory of the processing control unit; during actual operation, the image of the corresponding area is automatically captured based on the coordinate parameters.

[0013] Furthermore, the flash intensity of the pulsed fill light is automatically adjusted according to the ambient light intensity, or can be manually set to full power or half power mode through hardware shorting.

[0014] Furthermore, the driving alarm module for on-site audible and visual alarms specifically includes: displaying warning information on an LED display screen and simultaneously triggering a voice alarm to play a preset voice warning.

[0015] Furthermore, the generated abnormal records are further encrypted and stored in the data management terminal in an immutable format.

[0016] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods for preventing cheating on a truck scale based on co-driver identification.

[0017] After adopting the above technical solution, the beneficial effects of the present invention are at least as follows: 1. Precise and targeted identification: For cheating scenarios in the passenger seat, the image acquisition unit is installed on the upright on the passenger side of the weighbridge, and the lens is aimed at the passenger window to ensure that each captured image is clear and standard. Combined with a deep learning recognition model, high-precision personnel detection is achieved.

[0018] 2. All-weather environmental adaptability: Through the pulse lighting of the dedicated supplementary lighting module and the wide dynamic range function of the camera, it effectively suppresses window reflections and can still achieve stable imaging under complex lighting conditions such as backlight and night, enabling 24-hour uninterrupted monitoring.

[0019] 3. Millisecond-level automatic closed-loop control: When the processing control unit detects that someone is in the passenger seat, it immediately sends a hardware interrupt command to the metering module through the relay output, simultaneously triggering an audible and visual alarm and pushing an abnormal record, realizing a millisecond-level automatic response of "identification-alarm-control", effectively preventing cheating behavior.

[0020] 4. Complete and reliable chain of evidence: Abnormal records are automatically associated with vehicle information, timestamps, global scene images, close-up images of the passenger seat, and locked weight data. After encryption, they are stored in the data management terminal in an immutable format, providing complete evidence for subsequent auditing and accountability.

[0021] 5. High feasibility: Provides clear hardware installation parameters, on-site ROI drawing process, and multiple specific implementation schemes such as supplementary lighting intensity adjustment methods, reducing the difficulty of system deployment and ensuring reliable technical effects that are easy to replicate and promote.

[0022] 6. Reduce management costs: Replace manual real-time monitoring and post-event review with automated identification, and push alarms only when anomalies occur, significantly reducing enterprise labor costs and improving the overall security and reliability of the metering system. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a structural block diagram of the present invention.

[0025] Figure 2 This is a flowchart of the present invention. Explanation of reference numerals in the attached diagram: 10 dedicated supplementary lighting module, 20 image acquisition and analysis module, 30 metering module, 40 alarm module, 50 data management terminal, 21 image acquisition unit, and 22 processing and control unit. Detailed Implementation

[0026] The technical solutions in the embodiments of the present invention will now be clearly and completely described with reference to the accompanying drawings. The described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0027] like Figure 1 As shown, the present invention provides a vehicle scale anti-cheating system based on co-driver identification, which includes: The dedicated fill light module 10, consisting of an external strobe light, is used to provide pulsed fill light during image acquisition to suppress window reflections.

[0028] Image acquisition and analysis module 20 includes image acquisition unit 21 and processing and control unit 22: The image acquisition unit 21 is a high-definition intelligent capture camera, which is installed on the upright on the passenger side of the truck scale at a height of 1.4 meters to 1.8 meters. The lens axis is aligned with the passenger side window area of ​​the vehicle to capture high-definition images from the passenger side. The high-definition intelligent capture camera has a wide dynamic range function and works in conjunction with the pulse fill light of the dedicated fill light module 10 to achieve clear imaging under complex lighting conditions such as backlight and night.

[0029] The processing control unit 22 includes a processor and a memory. The memory stores a computer program and a recognition model. When the processor executes the computer program, it realizes the co-driver identification and linkage control functions. The processing control unit 22 is embedded in the image acquisition unit 21 or is set independently in the industrial control computer.

[0030] The metering module 30 is an intelligent truck scale weighing system used to complete vehicle weight measurement and is connected to the processing control unit 22 to receive control commands for interruption, locking, or normal measurement. The processing control unit 22 is connected to the control terminal of the metering module 30 through a relay output interface. When the identification result is "person", it outputs an interrupt signal through the relay to realize hardware-level metering interruption control.

[0031] Alarm module 40, including an LED display screen and a voice alarm, is installed on the exit side of the weighbridge for on-site warnings and prompts.

[0032] The data management terminal 50 is used to receive, store, and manage various data records generated by the system, and provides remote monitoring and auditing functions.

[0033] The dedicated supplementary lighting module 10 is connected to and synchronously controlled by the image acquisition unit 21; the image acquisition unit 21 transmits the acquired images to the processing control unit 22, and the processing control unit 22 is communicatively connected to the metering module 30, the alarm module 40 and the data management terminal 50 respectively.

[0034] like Figure 2 As shown, the present invention provides a method for preventing cheating on a truck scale based on co-driver identification, comprising the following steps: S1: System initialization, entering standby mode; S2: Inspection vehicle enters the weighing area of ​​the truck scale; S3: In response to the trigger signal generated by the grating or radar detection device, the image acquisition unit 21 is synchronously controlled to expose and the strobe lamp of the dedicated fill light module 10 is pulsed to fill light; in S3, the flash intensity of the pulsed fill light is automatically adjusted according to the ambient light intensity, or can be manually set to full power or half power mode by hardware shorting. S4: Capture high-definition images from the passenger side; S5: Preprocess the acquired image and extract the region of interest (ROI) of the passenger seat area based on the pre-generated and stored recognition region coordinates; the ROI in S5 is pre-generated and stored through the following steps: 1. During the system debugging phase, manually draw a rectangle in the real-time video frame using client software to select the area of ​​the passenger seat; 2. Save the coordinate parameters of the drawn rectangle to the memory of the processing control unit 22; 3. In actual operation, the image of the corresponding area is automatically cropped based on the coordinate parameters. S6: Input the captured ROI image into the pre-trained recognition model and output the recognition result of whether there is a person in the passenger seat; S7: Make a decision based on the recognition results: If the identification result is "no one", a normal measurement signal is sent to the metering module 30 to allow the weighing to be completed and the vehicle to be released. If the identification result is "someone", it is determined to be a cheating anomaly, triggering the anomaly handling process; S8: In the exception handling process, perform the following operations synchronously: Send an interrupt and lock command to the metering module 30 to pause the current metering process and lock the collected weight data; Drive the alarm module 40 to provide on-site audible and visual alarms; An anomaly record is generated, which is associated with at least the vehicle information, timestamp, global scene image, close-up image of the passenger area, and locked weight data of this weighing, and the anomaly record is pushed to the data management terminal 50 in real time. The specific steps of driving the alarm module 40 in S8 to perform on-site audible and visual alarms include: displaying warning information on the LED display screen and simultaneously triggering the voice alarm to play a preset voice warning. The abnormal records generated in S8 are further encrypted and stored in the data management terminal 50 in an unalterable format.

[0035] S9: End the single weighing anti-cheating process and return to standby mode.

[0036] A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any of the methods for preventing cheating on a truck scale based on co-driver identification. The above description is only used to illustrate the technical solution of the present invention and is not intended to limit it. Any other modifications or equivalent substitutions made by those skilled in the art to the technical solution of the present invention, as long as they do not depart from the spirit and scope of the technical solution of the present invention, should be covered within the scope of the claims of the present invention.

Claims

1. A vehicle scale anti-cheating system based on co-driver identification, characterized in that, It includes: A dedicated fill light module (10) is composed of an external strobe lamp, which is used to provide pulse fill light during image acquisition to suppress window reflections; The image acquisition and analysis module (20) includes an image acquisition unit (21) and a processing and control unit (22): The image acquisition unit (21) is a high-definition intelligent capture camera, which is installed on the upright on the passenger side of the truck scale and is used to acquire high-definition images from the passenger side. The processing control unit (22) includes a processor and a memory. The memory stores a computer program and a recognition model. When the processor executes the computer program, it realizes the co-driver recognition and linkage control functions. The metering module (30) is an intelligent truck scale weighing system used to complete vehicle weight measurement and communicates with the processing control unit (22) to receive control commands for interruption, locking or normal measurement. An alarm module (40), including an LED display screen and a voice alarm, is installed on the exit side of the weighbridge for on-site warning and prompting; The data management terminal (50) is used to receive, store and manage various data records generated by the system, and provides remote monitoring and auditing functions; The dedicated supplementary lighting module (10) is connected to and synchronously controlled by the image acquisition unit (21); the image acquisition unit (21) transmits the acquired images to the processing control unit (22), and the processing control unit (22) is communicatively connected to the metering module (30), the alarm module (40) and the data management terminal (50).

2. The anti-cheating system for truck scales based on co-driver identification according to claim 1, characterized in that: The processing control unit (22) is embedded in the image acquisition unit (21).

3. The anti-cheating system for truck scales based on co-driver identification according to claim 1, characterized in that: The processing control unit (22) is connected to the control terminal of the metering module (30) through the relay output interface. When the identification result is "person", the relay outputs an interrupt signal to realize hardware-level metering interrupt control.

4. The anti-cheating system for truck scales based on co-driver identification according to claim 1, characterized in that: The high-definition intelligent capture camera has a wide dynamic range function and works in conjunction with the pulsed light of the dedicated fill light module (10) to achieve clear imaging under complex lighting conditions such as backlight and night.

5. A method for preventing cheating on a truck scale based on co-driver identification, characterized in that, It is applied to any one of the vehicle scale anti-cheating systems based on co-driver identification as described in claims 1-4, specifically including the following steps: S1: System initialization, entering standby mode; S2: Inspection vehicle enters the weighing area of ​​the truck scale; S3: In response to the trigger signal generated by the grating or radar detection device, synchronously control the exposure of the image acquisition unit (21) and the strobe lamp of the dedicated fill light module (10) to perform pulse fill light; S4: Capture high-definition images from the passenger side; S5: Preprocess the acquired images and extract the region of interest (ROI) of the passenger seat area based on the pre-generated and stored recognition area coordinates; S6: Input the captured ROI image into the pre-trained recognition model and output the recognition result of whether there is a person in the passenger seat; S7: Make a decision based on the recognition results: If the identification result is "no one", a normal measurement signal is sent to the metering module (30) to allow the weighing to be completed and the vehicle to be released; If the identification result is "someone", it is determined to be a cheating anomaly, triggering the anomaly handling process; S8: In the exception handling process, perform the following operations synchronously: Send an interrupt and lock command to the metering module (30) to pause the current metering process and lock the collected weight data; Drive the alarm module (40) to perform on-site audible and visual alarms; An anomaly record is generated, which is associated with at least the vehicle information, timestamp, global scene image, close-up image of the passenger area and locked weight data of this weighing, and the anomaly record is pushed to the data management terminal (50) in real time. S9: End the single weighing anti-cheating process and return to standby mode.

6. The method for preventing cheating on a truck scale based on co-driver identification according to claim 5, characterized in that: The ROI in S5 is pre-generated and stored through the following steps: 1) During the system debugging phase, manually draw a rectangle in the real-time video frame using the client software to select the area of ​​the passenger seat; 2) Save the coordinate parameters of the drawn rectangle to the memory of the processing control unit (22); 3) In actual operation, the corresponding area of ​​the image is automatically captured based on the coordinate parameters.

7. A method for preventing cheating on a truck scale based on co-driver identification according to claim 5, characterized in that: The flash intensity of the pulsed fill light in S3 is automatically adjusted according to the ambient light intensity, or can be manually set to full power or half power mode through hardware shorting.

8. A method for preventing cheating on a truck scale based on co-driver identification according to claim 5, characterized in that: The drive alarm module (40) in S8 performs on-site sound and light alarms by displaying warning information on an LED display screen and simultaneously triggering a voice alarm to play a preset voice warning.

9. A method for preventing cheating on a truck scale based on co-driver identification according to claim 5, characterized in that: The abnormal records generated in S8 are further encrypted and stored in the data management terminal (50) in an immutable format.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of any one of the methods for preventing cheating on a vehicle scale based on co-driver identification as claimed in claims 5-9.

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