ESP32 CAM based Face Recognition Door Lock System STEM DIY KIT

 Introducing latest innovation – the ESP32 CAM-based Face Recognition Door Lock System STEM DIY KIT! Elevate your home security with cutting-edge technology that combines the power of ESP32 CAM and advanced facial recognition. This comprehensive STEM DIY kit is designed for enthusiasts and tech-savvy individuals who want to explore the realms of smart home automation.

Key Features:

• ESP32 CAM Integration: Powered by the versatile ESP32 CAM microcontroller, this kit ensures seamless connectivity, high-performance processing, and efficient data handling.
• Facial Recognition Technology: Say goodbye to traditional keys and passwords. Our system employs state-of-the-art facial recognition technology, providing a secure and convenient way to access your space.
• High-Resolution Camera: The built-in high-resolution camera captures intricate facial details for precise recognition, even in varying lighting conditions.
• DIY Friendly: Designed with the STEM enthusiast in mind, this kit is perfect for those who enjoy hands-on learning. Assemble and program your own face recognition door lock system, gaining valuable insights into electronics and programming.
• Customizable Software: Tailor the system to your specific needs with customizable software. Modify the facial recognition algorithms, adjust sensitivity levels, and integrate additional features to enhance functionality.
• Real-Time Monitoring: Receive instant notifications and monitor access logs through the integrated system, providing you with real-time updates on who enters and exits your premises.
• Secure and Reliable: Prioritize the safety of your home or office with a reliable and secure door lock system. The combination of facial recognition and ESP32 CAM technology ensures a robust and tamper-proof solution.
• Versatile Application: Suitable for both residential and commercial use, this kit offers a versatile solution for enhancing security in various environments.

Requirements:

• Basic understanding of electronics and programming
• Computer with USB port for programming the ESP32 CAM module
• Power source (USB or external power supply)

Package Content:

1 x 20cm Female To Female Jumper Cable Wire For Arduino - 10pcs
1 x 5V Single Channel RELAY Module
1 x 12V Electronic Door Lock assembly Solenoid low power consumption 
1 x FT232RL USB to TTL 3.3V 5V Serial Adapter Module for Arduino
1 x ESP32 CAM WiFi Bluetooth Development Board with OV2640 Camera Module
1 x USB Cable for Arduino Nano - USB 2.0 A to USB 2.0 Mini B

Tutorial to build project:

How to make face Recognition door lock system using ESP32 cam module

Components Required:

• ESP32 CAM WiFi Bluetooth Development Board with OV2640 Camera Module
• FT232RL USB to TTL 3.3V 5V Serial Adapter Module for Arduino
• 12V Electronic Door Lock assembly Solenoid low power consumption
• 5V Single Channel RELAY Module
• 20cm Female To Female Jumper Cable Wire For Arduino - 10pcs

If you want to purchase all component in one kit you can purchase this kit. 
ESP32 CAM based Face Recognition Door Lock System STEM DIY KIT – Buy Now

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Connection diagram:

Power Connections: VCC and GND pins of the FTDI board and Relay module are connected to the VCC and GND pins of the ESP32-CAM.

Communication Connections: TX and RX pins of the FTDI board are connected to RX and TX pins of the ESP32-CAM.

Control Connections: The IN pin of the relay module is connected to IO4 of the ESP32-CAM.

Functional Components: The relay module is used to switch the solenoid lock on or off.

Programming Connection: The FTDI board is used to flash the code into the ESP32-CAM since it doesn't have a USB connector. after flashing ftdi module dose not required in this project.

 Note: Before uploading the code, Connect GPIO 0 to GND: This is typically done by using a jumper wire to connect the GPIO 0 pin to the GND pin. Once the code is successfully uploaded, disconnect the jumper wire connecting GPIO 0 to GND. This allows the ESP32-CAM to operate in normal mode.

Install Arduino IDE

• Download and install Arduino ide from the official Arduino website.

Add ESP32 Board to Arduino ide:

• go to File> Preferences
• In additional board manager paste this LINK → https://dl.espressif.com/dl/package_esp32_index.json
• go to Tools > Board > Boards Manager
• Search for ESP32
•  install the ESP32 by Espressif Systems.
• Upload the below code using the below settings.

• Upload Below Code to ESP32 CAM module

NOTE: Connect the IO0 pin to GND before uploading the code.

• Now open the serial monitor to check your local IP.
• 

• Now copy this IP address and enter in the browser to access the esp32 cam.
• Turn on Face Detection and Face Recognition.
• Now click on the Enroll Face button, It will take some time to add your face. once face is added it will identify your face ad subject0 where 0 is the face count, if you will enrol second face then it will identify by subject1.

After Face successfully enrolled. project is ready. when the esp32 cam detects face it will send a signal to the relay and the relay will power up the solenoid locally and the door will be unlocked.

In conclusion, the ESP32-CAM Face Recognition Door Lock System represents a significant advancement in the realm of security and access control. Through the integration of cutting-edge technologies, including the ESP32-CAM module and facial recognition algorithms, this project offers a robust and efficient solution for enhancing the security of door access.

The system's ability to accurately identify and authenticate individuals based on facial features not only streamlines the access process but also adds an extra layer of sophistication to traditional door locking mechanisms. The combination of real-time image processing, machine learning, and the versatility of the ESP32-CAM platform ensures a reliable and adaptable solution for various environments.

Furthermore, the project's open-source nature encourages collaboration and innovation, allowing developers to further refine and expand its capabilities. The successful implementation of the ESP32-CAM Face Recognition Door Lock System not only addresses security concerns but also showcases the potential of merging IoT devices with artificial intelligence to create intelligent and responsive systems.

As technology continues to evolve, projects like this serve as a testament to the transformative power of integrating hardware, software, and machine learning. The ESP32-CAM Face Recognition Door Lock System not only provides a secure access control solution but also paves the way for future advancements in smart home security and automation.
In summary, it's important to highlight that the ESP32-CAM Face Recognition Door Lock System comes with a disclaimer stating that the project team does not take responsibility for any security compromises.