Project Hub /Artificial Intelligence & Edge ML/Face Recognition & Access Control/ESP32-CAM Face Recognition Door Lock System
ESP32-CAM Face Recognition Door Lock System
Intermediate
ESP32
₹500 – ₹1,500
3 – 6 Hours
Partial Kit

ESP32-CAM Face Recognition Door Lock System

Learn how to build a biometric face recognition door lock system using an ESP32-CAM, relay module, and a solenoid lock controlled via an Arduino IDE program.

Originally published on CircuitDigest
View original tutorial
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Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: Solenoid / Electric Lock

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How It Works

Why Build This

Design a modern, biometric access control system for your bedroom or school project showcase using facial recognition technology.
Gain hands-on experience integrating microcontrollers with physical actuators like relays and solenoid locks for smart home applications.
Learn how to deploy lightweight artificial intelligence and edge machine learning models directly onto low-cost IoT hardware.

Real-World Application

Smart home security systems, keyless office door access, biometric attendance tracking, and restricted area entry portals.

Skills You'll Learn

Edge AI deployment
camera module interfacing
relay switching control
electromechanical integration
microcontroller programming

Safety Precautions

Ensure correct power supply ratings (12V @ 500mA) for the solenoid lock and proper isolation when working with electronic-mechanical switching.

Technology Tags

ESP32
ESP32-CAM
FACE RECOGNITION
SOLENOID LOCK
RELAY MODULE
FTDI
ARDUINO IDE
WI-FI
IOT
BIOMETRICS

Frequently Asked Questions

No, the ESP32-CAM lacks a built-in USB-to-serial converter, which is why an external FTDI board is required to connect and upload code from the Arduino IDE.
The ESP32-CAM output pins operate at low voltage and cannot supply enough current to drive a mechanical solenoid lock directly; the relay safely bridges this gap by using a low-power signal to control a separate power circuit.
The face recognition algorithms run locally on the ESP32 microcontroller itself using edge machine learning libraries, meaning no cloud connection or external server is required.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
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