Face Recognition Attendance Terminal
Face Recognition Attendance Terminal Kit — Build Your Own Smart Entry Logger with Arduino, OV2640 Camera, and Linux
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit lets you assemble a working face recognition attendance terminal that authenticates via OpenCV running on a Linux MPU (such as a Raspberry Pi, not included), drives a 5V solenoid lock through an Arduino UNO Q, and logs every entry with a timestamped CSV file. Imagine a lab door that unlocks only for registered faces while silently recording who entered and when — exactly the kind of real‑world project that stands out in a B.Tech final‑year or a Smart India Hackathon build.
What You'll Build
You build a standalone access terminal with a live camera feed displayed on the 1.8‑inch TFT, face matching decisions highlighted instantly, and a solenoid lock that clicks open on a recognized face. All attendance events are written to eMMC storage on the Linux side, with date and time coming from the DS3231 RTC to guarantee accuracy even if the network drops.
What You'll Learn
- Interfacing an OV2640 camera with a Linux MPU and piping frames into OpenCV for real‑time face recognition.
- Parsing recognition matches and relaying unlock commands via serial to an Arduino UNO Q, complete with debounce logic.
- Managing time‑critical I/O: driving a 5V solenoid lock through a relay module while protecting the circuit with 1N4007 flyback diodes.
- Designing and assembling a PCB prototype on a general‑purpose board, integrating a power supply, buck converter, and RTC into a ready‑to‑mount enclosure.
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 |
| 4.7kΩ 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
College teams preparing for Smart India Hackathon or capstone projects in ECE and EEE will find this kit a ready‑to‑integrate solution for access control and attendance. It also fits ATL Tinkering Labs and B.Tech labs at IITs, NITs, VIT, BITS, and state universities where students need a reliable embedded vision platform without hunting down every resistor and diode.
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 on the kit box. You'll open the AI companion that knows every connection, calibration step, and OpenCV config for this exact terminal. If you still need human help, message us on WhatsApp.
Do I need to buy a Linux board separately?
Yes, this kit does not include the Linux MPU. It works with a Raspberry Pi 3, 4, or any Linux SBC with a CSI interface for the OV2640 camera. The Arduino UNO Q inside the kit handles the lock and display as a dedicated peripheral.
Can this terminal unlock a real door?
Absolutely. The included 5V solenoid lock is a bolt‑style lock. Under software control, the relay activates it for a few seconds when a face is recognized. Use the enclosure to mount the solenoid securely on a door frame.
How do I load the face recognition model?
The AI companion will guide you through OpenCV installation and training a recognizer on your own faces. You'll capture a few images per user, generate the model, and run it on the Linux MPU. The Arduino part is pre‑flashed to respond to serial commands.
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