Smart Doorbell Camera Kit v27
Smart Doorbell Camera Kit for AI-Powered Defect Detection with Raspberry Pi 5
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 doorbell camera that doesn’t just show who’s at the door—it inspects manufactured parts for surface defects and flags the slightest anomaly. This Smart Doorbell Camera Kit v27 turns a Raspberry Pi 5 into an industrial-grade quality control demo. You’ll train a vision system to spot scratches, dents, or misalignments, then stream results in real time. It’s a compact but powerful project that mimics what happens on factory floors, right on your workbench.
What You'll Build
You’ll assemble a camera rig with ring illumination that captures high-resolution images of small components. The Pi 5 runs a lightweight anomaly detection model, comparing each part against a trained baseline. When a defect is found, the system logs the event and shows a visual overlay. By the end, you’ll have a working demo that you can adapt for academic showcases, college fests, or Smart India Hackathon prototypes.
What You'll Learn
- Set up the Raspberry Pi Camera Module 3 and control a ring light for consistent illumination
- Train and deploy a computer vision model for surface anomaly detection using edge AI
- Use the NVMe SSD via M.2 HAT+ to store high-volume image data at fast speeds
- Implement a real-time inspection pipeline that mimics industrial quality control workflows
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| Ring Light | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 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
This kit suits B.Tech ECE, EEE, and CSE students building final-year projects or Smart India Hackathon prototypes that need vision-based inspection. CBSE Class 11–12 students in ATL Tinkering Labs will find it a challenging but rewarding introduction to edge AI. VIT, BITS, NIT, and IIT engineering teams can use it to demonstrate anomaly detection for manufacturing use cases. If you have basic Python and Raspberry Pi familiarity, you’re ready.
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 via the QR code; it knows the exact wiring, code, and model steps. For quick human help, message us on WhatsApp with your order number.
Can this kit detect defects other than surface scratches?
Yes, the same pipeline can be retrained for dents, color inconsistencies, or missing components. The ring light and camera alignment are designed for close-up inspection of small parts.
Do I need deep learning experience?
No, we provide pre-trained models and guided notebooks. You’ll modify parameters and retrain with your own sample images, learning the concepts hands-on.
Why does the kit include an NVMe SSD?
High-speed storage is crucial for capturing and processing rapid image sequences during anomaly detection. The M.2 HAT+ lets you save large datasets without SD card bottlenecks.
Doorbell Security — Anomaly detection on Pi 5 flags surface defects in manufactured parts from camera — industrial quality control demo.
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