Retail Footfall Camera Plus Kit with Raspberry Pi 4 + Camera
Retail Footfall Camera Plus Kit — Real-time Edge AI People Counting with Raspberry Pi 4 and Coral USB Accelerator
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 standard Raspberry Pi 4 into a high-speed people-counting camera for retail spaces. This kit pairs the Coral USB Accelerator with a Pi Camera Module 2, delivering 100x faster neural network inference than CPU-only setups — accurate enough to log store footfall in real time.
What You'll Build
A self-contained camera that captures video, runs a MobileNet SSD or custom TensorFlow Lite person detection model at near-video framerates, and outputs a live count of people entering or exiting a defined zone. You’ll end up with a compact device that can sit above a store entrance and log visitor data onto the Pi’s SD card, ideal for small retail analytics dashboards or Smart India Hackathon demonstrations.
What You'll Learn
- Deploy TensorFlow Lite models on the Coral USB Edge TPU for accelerated inference
- Process live camera feeds and draw bounding boxes around detected people using OpenCV
- Implement zone-based counting logic to track entries and exits
- Optimise model selection — MobileNet vs EfficientNet — for speed-accuracy trade-offs
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 4 Model B 4GB | 1 |
| Coral USB Accelerator | 1 |
| Pi Camera Module 2 | 1 |
| MicroSD Card 32GB | 1 |
| USB-C PSU | 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
B.Tech ECE/EEE/CS students pursuing computer vision projects, Smart India Hackathon teams building retail analytics prototypes, and CBSE Class 11–12 students exploring AI with a real-world edge device. Also fits IIT/NIT/VIT/BITS final-year project requirements where edge deployment is key.
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 box to open an AI companion trained on this exact kit — it walks you through wiring, software setup, and debugging. WhatsApp help is also available for quirks that need a human touch.
Can I swap the Pi Camera for a USB webcam?
Yes, but the kit is optimised for the Pi Camera Module 2’s ribbon connector to maintain a compact form factor. The AI companion includes instructions for USB camera fallback.
What if I want to run EfficientNet instead of MobileNet?
The Coral USB Accelerator supports EfficientNet Edge TPU models. The SD card includes sample EfficientNet models and a TFLite runtime pre-configured for pinning operations to the TPU.
Is the kit suitable for a Smart India Hackathon project?
Absolutely. It’s built to be hackathon-ready: you’ll have a working footfall counter within the build time, leaving you hours to add custom dashboards or cloud upload features.
Retail Analytics — Google Coral USB Edge TPU runs MobileNet, EfficientNet and custom TFLite models on Pi 4 — 100x faster than CPU inference.
What's in this kit
- Raspberry Pi 4 Model B 4GB
- Coral USB Accelerator
- Pi Camera Module 2
- MicroSD Card 32GB
- USB-C PSU
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