489.ESP32-CAM Face Recognition Door Lock System Nowadays, everyone is extremely concerned about their personal security, whether it be the protection of their data or the security of their own home. These days, the use of digital door locks is extremely widespread due to the proliferation of connected devices and the general improvement of technology. The use of a physical key is not necessary to operate a digital

lock; rather, the lock can be controlled by means such as RFID, fingerprints, Face ID, pins, passwords, and so on. In the past, we have built a wide variety of applications using these various technologies, including digital door locks. Through the use of ESP32-CAM, we will construct a Face ID- controlled digital door lock system in this tutorial. The AI-Thinker ESP32-CAM module is an inexpensive development board that features a micro-SD card port in addition to a camera with a very compact form factor called an OV2640. It is equipped with a high- performance ESP32 S processor that includes built-in Wi-Fi and Bluetooth connectivity, as well as a 7-stage pipeline architecture and 2 high- performance 32-bit LX6 CPUs. In a previous article, we went over ESP32- CAM in depth and demonstrated how it might be used to construct a Wi-Fi door Video doorbell. This time around, we will make use of the ESP32- CAM to construct a Door Lock System that is based on Face Recognition by utilizing a Relay Module and a Solenoid Lock.

When a person approaches the door, the camera will take a picture of their face, check to see if it has been registered, and then either unlock the door or sound an alarm. If the face has not been registered, the camera will sound an alarm, take a picture, and send it to the number that has been registered. The operation of the system is exactly like this.

FTDI Board Relay Module Solenoid Lock Jumper Wires Solenoid Lock The electronic-mechanical locking mechanism is utilized in the operation of a solenoid lock. This particular style of lock has a slug that has a cut that is angled and an effective mounting bracket. DC produces a magnetic field when power is applied, which moves the slug inside and retains the door in the unlocked position. This field also prevents the door from being locked. The slug will continue to remain in its position till the power is turned off. After the electricity has been cut off, the slug will exit the building and shut the door behind it. When it is locked, it does not consume any power at all. In order to power the solenoid lock, you will need a power supply that can deliver 12 volts at a current of 500 milliamps.

Combination of the circuit described above with an FTDI board, a relay module, and a solenoid lock. Because the ESP32-CAM doesn't have a USB connector, the FTDI board is what's used to flash the code into it. Meanwhile, the relay module is what's utilized to turn the solenoid lock on and off. The VCC and GND pins of the FTDI board and the Relay module are linked to the ESP32-CAM's Vcc and GND pins. The ESP32's RX and TX ports are connected to the FTDI board's RX and TX ports, and the IN pin of the relay module is connected to the IO4 port on the ESP32-CAM.

Important: Before you upload the code, make sure that the IO0 is connected to the ground. IO0 is responsible for determining whether or not the ESP32 is operating in flashing mode. The ESP32 enters flashing mode when the GND pin on GPIO 0 is connected to ground. Code Explanation In the prior piece, we discussed how to use ESP32 for face recognition. In this piece, we will alter the code so that it can be used to control a solenoid door lock. The entire code may be broken down into four distinct sections. The first code is the primary one for the camera and relay module, which is where the ESP32 determines whether or not to lock or unlock the door based on face recognition. The other three codes are for the web page, camera index, and camera pins, respectively. The entirety of the code may

be found at the bottom of this page. In this section, we will go through some of the most significant aspects of the code. When all of the components have been connected in accordance with the

Testing the ESP32-CAM Face Recognition Door Lock System Last but not least, in order to upload the code, connect the FDTI board to your laptop and then pick the 'ESP32 Wrover Module' as the board you want to use. Alter the other settings as well, so that they match the picture

Before you click the button to upload the code, make sure the IO0 pin is connected to GND and then hit the reset button on the ESP32. After that, click the button labeled upload.

Note: If you are having trouble uploading the code and are getting errors, make sure that IO0 is connected to GND and that the appropriate parameters were selected in the Tools menu. After the code has been uploaded, the IO0 and GND pins should be removed. The serial monitor should then be opened, and the baud rate should be changed to 115200. After that, you will need to push the reset button on the ESP32, and the serial monitor will display the ESP's IP address as well as the port number. In order to access the camera streaming, you will now need to navigate to the browser and enter the ESP IP address that was copied from the Serial monitor. It will lead you to the page where you may stream the video. Simply select the "Start Stream" option located at the very bottom of the page to get the live video feed started. In order for the ESP32-CAM to be able to recognize the faces, we must first enroll the faces. To accomplish this, navigate to the settings menu and activate the Face recognition and detection functions. After that, click the Enroll Face button. There may be more than one opportunity to redeem oneself. After the face has been saved, the system recognizes it as subject 0, where 0 is the face number.

After enrolling the faces, the ESP32 will make the relay module high to unlock the door if it finds a face matching one of the enrolled faces in the video feed.