Raspberry Pi 5 QC Vision Kit - Build an Industrial Anomaly Detector
Raspberry Pi 5 QC Vision Kit - Build an Industrial Surface Anomaly Detector
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
You'll set up a Raspberry Pi 5 with a high-resolution camera and ring light to automatically flag surface defects on manufactured components. It's a hands-on demonstration of how modern factories use edge AI for quality control, perfect for engineering students and tinkerers exploring Industry 4.0.
What You'll Build
Assemble a compact vision inspection system that captures part images under controlled lighting, runs an anomaly detection model on the Pi 5, and displays pass/fail results. The system can spot scratches, pits, or colour variations on metal or plastic surfaces, mimicking a real production-line QC gate. By the end, you'll have a deployable prototype and the skills to adapt it for your own quality inspection challenge.
What You'll Learn
- Deploying a machine learning model on Raspberry Pi 5 for real-time inference
- Configuring the Pi Camera Module 3 and ring light for consistent industrial imaging
- Integrating NVMe SSD storage via M.2 HAT to accelerate model and image access
- Building a simple user interface that flags defects and logs inspection results
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 is built for engineering students, CBSE Class 11-12 learners, and tinkerers at ATL labs or hackathons like Smart India Hackathon. If you're pursuing B.Tech in ECE, EEE, or computer science and want a real industrial AI demo for your project report, this kit delivers a working QC prototype in a few hours.
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 access the AI companion trained on this exact kit. It walks you through wiring, code upload, and model deployment. You can also reach us on WhatsApp.
Do I need any prior experience with AI or computer vision?
The kit is designed for intermediate-level makers. Basic familiarity with Raspberry Pi and Python is helpful, but the AI companion will guide you through loading the model and interpreting results.
Can I modify the system to detect different types of defects?
Absolutely. The project includes a sample anomaly detection model, but you can train your own on custom images using the NVMe SSD for storage. The companion provides tips on training with Edge Impulse or TensorFlow Lite.
What kind of manufacturing defects can this setup detect?
With the ring light and 12MP camera, the system can reliably spot surface scratches, dents, discolorations, and missing components on small to medium-sized parts. You can adjust sensitivity thresholds in the code.
Manufacturing QC - 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