Edge AI QC Kit — Real‑Time Object Detection for Manufacturing With Raspberry Pi 4 & Google Coral USB

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Walk into a modern factory floor and you’ll see cameras inspecting products in milliseconds, separating pass from fail without a human ever looking. This kit lets you build that exact system on your desk — a Raspberry Pi 4 outfitted with a Coral USB Accelerator that runs SSD MobileNet, classifying and locating 90 everyday object classes at near‑real‑time speeds. It’s an end‑to‑end computer vision pipeline that doubles as a latency benchmarking lab, giving you a taste of what’s powering Industry 4.0 quality control lines across India.

What You'll Build

You’ll assemble a compact computer vision inspection station. A Pi Camera Module 2 captures live video, the Coral USB Accelerator processes every frame with a quantized MobileNet‑SSD model, and you’ll measure exactly how long each inference takes — down to the millisecond. By the end of the 4‑hour build, you’ll have a working system that can identify parts on a conveyor‑like setup and log metrics that an industrial engineer would actually use. The benchmarking scripts also teach you what “inference latency” means when you push 30 FPS through an edge TPU.

What You'll Learn

• Deploy a quantized SSD MobileNet object detection model on the Coral USB Edge TPU
• Configure Raspberry Pi 4 for high‑speed camera inference with the Pi Camera Module 2
• Measure and compare inference latency between CPU‑only and Edge TPU‑accelerated pipelines
• Interpret detection outputs (bounding boxes, class labels, confidence scores) in a manufacturing QC context

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Designed for B.Tech ECE/EEE students, Smart India Hackathon teams crafting defect detection prototypes, and ATL Tinkering Lab mentors who want to move beyond basic Arduino projects. It’s also a natural fit for anyone preparing for VIT, BITS, or NIT project submissions where real‑time embedded AI makes a strong impression.

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.