Electrical control module of urban rail access control
By integrating multiple sensors and modules, the shortcomings of urban rail access control systems in terms of environmental regulation and health monitoring have been addressed, realizing intelligent environmental regulation and health monitoring, and improving image recognition accuracy and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2026-04-03
AI Technical Summary
Existing urban rail access control systems have not fully realized intelligent features in terms of environmental regulation and health monitoring, especially in terms of automatic adjustment of lighting conditions and non-contact body temperature measurement, which affects the accuracy of image recognition and user experience.
It employs an image acquisition and processing module, a metal detection module, a human body temperature detection module, a people counting module, an adaptive light intensity adjustment module, a voice module, a communication module, and a mechanical gate module. Combined with components such as an OV5640 camera, an STM32H743II chip, a GY906 infrared temperature sensor, dual infrared photodiodes, a WS2812B LED light, an MG90S servo motor, and an STM32C8T6 core MCU, it achieves intelligent environmental adjustment and health monitoring.
It achieves intelligent environmental adjustment and health monitoring, improves image recognition accuracy, optimizes user experience, and has functions such as mask detection, adaptive lighting, infrared temperature measurement, people counting, and voice broadcasting.
Smart Images
Figure CN224082041U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the technical field of electrical control modules for urban rail access control, and in particular to an electrical control module. Background Technology
[0002] In recent years, the application of access control systems in urban rail transit has seen increased emphasis on their health and safety management effectiveness, especially during special periods, aiming to protect passenger safety. Leveraging cutting-edge technologies such as image recognition, sensor data analysis, and wireless communication, intelligent access control systems have been developed. These systems can effectively detect symptoms such as fever, thereby curbing the spread of infectious diseases to some extent. These innovative access control systems play a crucial role in curbing the spread of infectious diseases and strengthening public health protection. Although many current access control systems possess basic personnel health monitoring and access control functions, they often fail to fully realize intelligent environmental regulation, such as automatically adjusting supplementary lighting based on ambient light conditions to improve image recognition accuracy and optimize the user experience.
[0003] First, the access control system should have a mask-wearing detection function and a certain degree of resistance to environmental interference to ensure that all personnel passing through the system are wearing masks, preventing the spread of disease due to mask-wearing. Second, the system should be equipped with a non-contact temperature measurement device to measure the body temperature of personnel passing through without contact. This allows the system to detect individuals with fever, record their characteristics, and view the data on a mobile app-like terminal, aiding in the tracking of individuals with fever. Utility Model Content
[0004] To overcome the shortcomings of existing systems, this utility model provides an electrical control module for urban rail access control.
[0005] The technical solution adopted by this utility model to solve its technical problem is: an electrical control module for urban rail access control, including an image acquisition and processing module, a metal detection module, a human body temperature detection module, a people counting module, an adaptive light intensity adjustment module, a voice module, a communication module, a mechanical gate module, a display module, and a control module; the image acquisition and processing module and the communication module use the UART protocol to exchange data bidirectionally with the control module; the control module receives data transmitted by the human body temperature detection module, the people counting module, and the metal detection module, and outputs signals to the voice module, the adaptive light intensity adjustment module, the mechanical gate module, and the display module; the display module is installed at the top of the gate. Above; the image acquisition and processing module includes an OV5640 camera and an STM32H743II chip. The OV5640 camera is positioned above the display module and communicates bidirectionally with the STM32H743II chip. The STM32H743II chip uses the UART protocol to exchange data bidirectionally with the control module. The communication module includes an ESP8266 chip, a local server, and a mobile app. The ESP8266 chip uses the UART protocol to exchange data bidirectionally with the control module and the TCP / IP protocol to exchange data bidirectionally with the local server. The local server communicates bidirectionally with the mobile app via the TCP / IP protocol.
[0006] According to another embodiment of the present invention, the human body temperature detection module is a GY906 infrared temperature sensor, which is installed in front of the gate; the GY906 infrared temperature sensor is controlled by an internal state machine to measure and calculate the object temperature and ambient temperature, and processes the temperature, outputting the result to the control module through PWM or SMBus mode.
[0007] According to another embodiment of the present invention, the number of people counting module is a dual infrared beam tube; the dual infrared beam tube consists of a pair of transmitters and receivers, respectively disposed on both sides of the gate.
[0008] According to another embodiment of the present invention, the voice module is selected using a JQ8900-16P chip and is disposed on the side of the display module.
[0009] According to another embodiment of the present invention, the illuminance adaptive adjustment module is a WS2812B LED light, which is connected to the control module through a PWM pin and is positioned directly above the OV5640 camera.
[0010] According to another embodiment of the present invention, the mechanical gate module is further comprising an MG90S servo motor, which is installed inside the gate and connected to the control module via GPIO pins, and the output shaft is connected to the valve on the side of the gate.
[0011] According to another embodiment of the present invention, the metal detection module is a WL01 eddy current sensor, which is installed in front of the gate.
[0012] According to another embodiment of the present invention, the control module is selected from an STM32C8T6 core MCU and is located on the rear side of the display module.
[0013] The beneficial effects of this utility model are that it realizes a comprehensive access control system by utilizing multiple sensors and transmission technologies. This electrical module has functions such as mask detection, adaptive ambient lighting, infrared temperature measurement, people counting, voice broadcasting, and Android APP image display. Attached Figure Description
[0014] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0015] Figure 1 This is the electrical connection diagram of this utility model;
[0016] Figure 2 This is a schematic diagram of the structure of this utility model;
[0017] Figure 3 yes Figure 2 Side view of the central turnstile;
[0018] Figure 4 This is a schematic diagram of the image acquisition and processing module;
[0019] Figure 5 This is a schematic diagram of the communication module.
[0020] The diagram shows: 1. Image acquisition and processing module; 2. Metal detection module; 3. Human body temperature detection module; 4. People counting module; 5. Illumination adaptive adjustment module; 6. Voice module; 7. Communication module; 8. Mechanical gate module; 9. Display module; 10. Control module; 11. Turnstile. Detailed Implementation
[0021] like Figure 1This is a schematic diagram of the structure of this utility model, an electrical control module for urban rail access control, including an image acquisition and processing module 1, a metal detection module 2, a human body temperature detection module 3, a people counting module 4, an adaptive light intensity adjustment module 5, a voice module 6, a communication module 7, a mechanical gate module 8, a display module 9, and a control module 10; the image acquisition and processing module 1 and the communication module 7 use the UART protocol to exchange data bidirectionally with the control module 10; the control module 10 receives data transmitted from the human body temperature detection module 3, the people counting module 4, and the metal detection module 2, and outputs signals to the voice module 6, the adaptive light intensity adjustment module 5, the mechanical gate module 8, and the display module 9; the display module 9 is set in... Directly above the gate 11; the image acquisition and processing module 1 includes an OV5640 camera and an STM32H743II chip. The OV5640 camera is positioned above the display module 9 and communicates bidirectionally with the STM32H743II chip. The STM32H743II chip uses the UART protocol to exchange data bidirectionally with the control module 10. The communication module 7 includes an ESP8266 chip, a local server, and a mobile APP. The ESP8266 chip uses the UART protocol to exchange data bidirectionally with the control module 10 and the TCP / IP protocol to exchange data bidirectionally with the local server. The local server communicates bidirectionally with the mobile APP via the TCP / IP protocol.
[0022] Specifically, the OV5640 camera boasts high resolution and excellent image quality, making it suitable for personnel recognition and image processing. The STM32H743II chip possesses powerful processing capabilities and a rich image processing algorithm library, supporting real-time image processing and analysis. Communication between the two chips utilizes the UART protocol. Two UART serial communication modules of the control module 10 are integrated into the data transmission and control module, responsible for transmitting mask-wearing and related image information from the OpenMV STM32H743II chip to the core control module 10, while simultaneously sending image information to the ESP8266 chip. The core control module 10 receives the mask-wearing and image information, as well as information from the RFID module and body temperature sensor data. Through the UART protocol, image information is transmitted from the STM32C8T6 to the ESP8266 chip, which then sends the image information to a remote server for viewing by a mobile app.
[0023] According to another embodiment of the present invention, the human body temperature detection module 3 is a GY906 infrared temperature sensor, which is set in front of the gate 11; the GY906 infrared temperature sensor is controlled by an internal state machine to measure and calculate the object temperature and ambient temperature, and processes the temperature, and outputs the result to the control module 10 through PWM or SMBus mode.
[0024] According to another embodiment of the present invention, the number counting module 4 is a dual infrared beam tube; the dual infrared beam tube consists of a pair of transmitters and receivers, which are respectively set on both sides of the gate 11.
[0025] According to another embodiment of the present invention, the voice module 6 is selected using a JQ8900-16P chip and is disposed on the side of the display module 9.
[0026] Specifically, the voice broadcast function of this system is mainly transmitted to the voice module after the STM32 development board control center reads the values, and the voice address is sent by the data sending end. It has multiple functions, good sound quality, wide application range and stable performance, which makes up for the shortcomings of the narrow application fields of previous voice chips. The chip has multiple control modes and different instructions, making voice playback more diverse.
[0027] According to another embodiment of the present invention, the illuminance adaptive adjustment module 5 is a WS2812B LED light, which is connected to the control module 10 through a PWM pin and is positioned directly above the OV5640 camera.
[0028] According to another embodiment of the present invention, the mechanical gate module 8 is selected as a servo motor MG90S, which is installed inside the gate 11, connected to the control module 10 through GPIO pins, and the output shaft is connected to the valve on the side of the gate 11.
[0029] According to another embodiment of the present invention, the metal detection module 2 is a WL01 eddy current sensor, which is set in front of the gate 11. The module is small and can maintain and achieve higher resolution and flexibility at a lower system cost. It can also be powered by an STM32 and the measured data can be transmitted to the STM32, so that the corresponding feedback can be obtained faster.
[0030] According to another embodiment of the present invention, the control module 10 is selected from an STM32C8T6 core MCU and is located on the rear side of the display module 9.
[0031] This system uses an OV5640 camera for image acquisition and implements image processing on the STM32H743II chip integrated in OpenMV. Mask wearing information and image information are transmitted to the STM32C8T6 core MCU via UART protocol. The MCU is debugged and programmed using ST-Link via the SWD interface. The system uses an MLX90614 infrared temperature sensor to detect body temperature and transmits the captured images to a local server via an ESP8266. The server communicates with the mobile app via TCP / IP protocol to transmit the captured images. An adaptive illuminance adjustment module uses linear fitting and a PID algorithm to achieve adaptive illuminance adjustment. Dual infrared photodiodes are used for headcount counting, and a JQ8900N chip drives a speaker for voice announcements.
[0032] The above description is illustrative only and not restrictive of this utility model. Those skilled in the art will understand that many modifications, variations or equivalents can be made without departing from the spirit and scope defined by the appended claims, and all such modifications, variations or equivalents will fall within the protection scope of this utility model.
Claims
1. An electrical control module for urban rail access control, characterized in that, The application relates to an intelligent gate machine, which comprises an image acquisition and processing module (1), a metal detection module (2), a human body temperature detection module (3), a people counting module (4), an illumination self-adaptive adjustment module (5), a voice module (6), a communication module (7), a mechanical gate module (8), a display module (9) and a control module (10); the image acquisition and processing module (1) and the communication module (7) adopt UART protocol to realize bidirectional data exchange with the control module (10); the control module (10) receives data transmitted by the human body temperature detection module (3), the people counting module (4) and the metal detection module (2) and outputs signals to the voice module (6), the illumination self-adaptive adjustment module (5), the mechanical gate module (8) and the display module (9); the display module (9) is arranged directly above a gate (11); the image acquisition and processing module (1) comprises an OV5640 camera and an STM32H743II chip; the OV5640 camera is arranged above the display module (9) and realizes bidirectional communication with the STM32H743II chip; the STM32H743II chip adopts UART protocol to realize bidirectional data exchange with the control module (10); the communication module (7) comprises an ESP8266 chip, a local server and a mobile phone APP; the ESP8266 chip adopts UART protocol to realize bidirectional data exchange with the control module (10) and adopts TCP / IP protocol to realize bidirectional data exchange with the local server; the local server realizes bidirectional communication with the mobile phone APP through TCP / IP protocol.
2. The electrical control module of claim 1, wherein, The human body temperature detection module (3) is a GY906 infrared temperature measurement sensor and is arranged directly in front of the gate (11); the GY906 infrared temperature measurement sensor controls the measurement and calculation of object temperature and environment temperature through an internal state machine and processes the temperature to output results to the control module (10) through PWM or SMBus mode.
3. The electrical control module of claim 1, wherein, The people counting module (4) is a double-infrared emitter-receiver tube; the double-infrared emitter-receiver tube is composed of a pair of emitters and receivers and is arranged on both sides of the gate (11).
4. The electrical control module of claim 1, wherein, The voice module (6) selects a JQ8900-16P chip and is arranged on the side of the display module (9).
5. The electrical control module of claim 1, wherein, The illumination self-adaptive adjustment module (5) selects a WS2812B LED lamp, is connected with the control module (10) through a PWM pin and is arranged directly above the OV5640 camera.
6. The electrical control module of claim 1, wherein, The mechanical gate module (8) selects a rudder MG90S, is arranged in the gate (11), is connected with the control module (10) through a GPIO pin and connects a valve on the side of the gate (11) through an output shaft.
7. The electrical control module of claim 1, wherein, The metal detection module (2) selects a WL01 eddy current sensor and is arranged directly in front of the gate (11).
8. The electrical control module of claim 1, wherein, The control module (10) selects a STM32C8T6 core MCU and is arranged at the back of the display module (9).