Arduino Face Recognition Lock Kit - Build AI Door Lock with OpenCV
Arduino Linux Face Recognition Smart Lock Kit - Build an AI Door Lock with OpenCV and Live Access Logging
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Transform a regular door into a secure, face-aware access point. The Home Smart Light Switch Kit v2 is reimagined around a complete face recognition lock project: the Linux-based Arduino UNO Q runs an OpenCV pipeline that matches stored faces, then commands a relay-driven solenoid lock. Every unlock event gets timestamped by the DS3231 RTC and saved to a CSV log right on the board's eMMC storage - perfect for hostels, labs, or your own room.
What You'll Build
You'll assemble a fully functional face-recognition door lock. A compact OV2640 camera continuously scans for faces; recognized faces instantly release the 5V solenoid lock through the relay module. The 1.8-inch TFT display shows live match status and recent log entries. The whole system runs off a single 5V 3A supply, neatly enclosed in the provided box, so you get a real-world security appliance that you built and coded yourself.
What You'll Learn
- Capture and preprocess face images using the OV2640 camera on a Linux-based Arduino board
- Train and run lightweight face recognition models with OpenCV on an embedded MPU
- Control a high-current solenoid lock safely via a 5V relay, including flyback protection with provided diodes
- Sync events to real time with the DS3231 RTC and persist access logs to eMMC in CSV format
Kit Contents
| Component | Quantity |
|---|---|
| Arduino UNO Q | 1 |
| OV2640 Camera Module | 1 |
| 5V Solenoid Lock | 1 |
| 5V Relay Module | 1 |
| DS3231 RTC | 1 |
| 1.8in TFT ST7735 | 1 |
| LM2596 Buck Converter | 1 |
| 1N4007 Diode | 5 |
| 4.7k? Resistors | 5 |
| 100nF Caps | 10 |
| PCB Prototype Board | 2 |
| Enclosure Box | 1 |
| 5V 3A PSU | 1 |
| USB-C Hub | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Perfect for B.Tech ECE and CSE students building a face-recognition based access system for Smart India Hackathon or semester projects. Makers at IIT, NIT, VIT, or BITS will appreciate the ready-to-run Linux board and pre-trained model templates. Also suits CBSE Class 11-12 students with prior Arduino experience and ATL tinkering labs aiming for an advanced AI+hardware prototype.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code to launch the AI companion; it walks you through each wire and code block. For trickier issues, drop a photo on WhatsApp and our team helps the same day.
How accurate is the face recognition, and does it work with spectacles or masks?
With proper enrollment (5-7 clear face photos per person), the OpenCV model reliably identifies users with glasses. Masks reduce confidence, but you can train on masked images using the companion guide.
Can I add more faces after the initial setup?
Yes, the kit firmware stores face encodings on the eMMC; the AI companion provides a Python script to enroll new users without rebuilding everything.
Is the solenoid lock strong enough for an external door?
The included 5V lock is rated for indoor and light-duty external doors (up to 3 kg holding force). For heavier doors, the relay output can drive a higher-current lock with minor wiring changes.
Home Automation - OpenCV face recognition runs on Linux MPU. Match result triggers STM32 relay lock and logs to CSV on eMMC.
What's in this kit
Choose your assembly option:
- Soldering Kit - 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo - 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items