Pi 5 Face Recognition Door Lock
Raspberry Pi 5 Face Recognition Door Lock Kit – Build Your Own Edge AI Smart Lock
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine a door that unlocks only for recognized faces, logging every attempt automatically. This kit lets you build exactly that — a practical biometric access system using the Raspberry Pi 5. With DeepFace running locally on the edge, you'll train a model to identify enrolled users and trigger a servo-driven lock. It's the kind of project you'd see in a college security hackathon or a CBSE AI elective, now fully packaged and ready to assemble.
What You'll Build
A complete face recognition door lock. You'll capture face images via the Pi Camera Module 3, enroll them into a DeepFace model, and control an SG90 servo to simulate unlocking. Every access attempt — whether recognized or denied — is logged with a timestamp and confidence score on the NVMe SSD. The red and green LEDs give instant visual feedback. At the end, you'll have a working prototype you can mount on a door frame and demonstrate.
What You'll Learn
- Deploying DeepFace on Raspberry Pi 5 for real-time face recognition
- Integrating Pi Camera Module 3 for high-resolution face enrollment
- Building a servo-based locking mechanism and controlling it via GPIO
- Designing an audit log system with data persistence on NVMe SSD
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| SG90 Servo | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| LED Green | 1 |
| LED Red | 1 |
| 220Ω Resistors | 3 |
| USB-C PSU | 1 |
| M-M Wires | 15 |
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
This kit hits the sweet spot for CBSE Class 11-12 students working on AI/ML electives, B.Tech CSE/ECE undergraduates building semester projects, and Smart India Hackathon teams prototyping biometric solutions. ATL Tinkering Labs and engineering colleges (IIT/NIT/VIT/BITS) will find it an excellent hands-on introduction to edge AI. If you've tinkered with a Raspberry Pi before and want to level up to computer vision, this is your next build.
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?
Open the AI companion from the QR code, and it will diagnose your step. If you need more help, WhatsApp us directly — real engineers will walk you through the issue.
Can I use a different camera module?
The kit is calibrated for the Pi Camera Module 3, which ensures optimal face enrollment quality. If you adapt a different camera, the AI companion can guide you through the adjustments.
How many faces can the system recognize?
The DeepFace model on Pi 5 easily handles dozens of faces. You can store the face embeddings and access logs on the included 128GB NVMe SSD, leaving plenty of room for expansion.
Does this work without an internet connection?
Absolutely. All face recognition processing runs locally on the Raspberry Pi 5. No cloud is required, making it a true edge AI system.
DeepFace recognises enrolled faces on Pi 5 and triggers a servo lock — enrol, test and audit face access log.
What's in this kit
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