The face recognition access control system module based on ESP32
has too many connections and is actually only suitable for learning and communication. If you need a streamlined access control board, you can see my introduction to another open source project 1. Use ESP32 to control the servo installed on the door. Control to achieve the purpose of opening the door 2. Use the AS608 optical fingerprint module to communicate with the ESP32 to achieve the purpose of fingerprint unlocking 3. With the code, use the Blinker mobile client to remotely open the door 4. Even if the network is disconnected, it can be controlled through the LAN 5 .With the Raspberry Pi, it can open the door through facial recognition. 6. Built-in two 18650 batteries, it can continue to open the door even if the power is cut off in time: Use ESP32 to send a PWM signal to the servo to pull the door handle to open the door and realize facial recognition: Use Huo The sensor detects the door switch status. When the door is closed, if there is someone outside the door, after sensing through the human body infrared sensor, ESP32 sends a PWM signal to the camera gimbal, and communicates with the Raspberry Pi to send the signal to the Raspberry Pi. Take photos and compare them. If the recognition is correct, a correct signal will be returned to ESP32. Specific tutorial: https://www.bilibili.com/video/BV1dT4y1J7WL/
The integration of this module is not good, so there will be a better one in the future. version launched
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