Raspberry Pi 5 Retail Object Sorting Kit - Smart Conveyor with Colour and Shape Detection

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 simple conveyor belt into an intelligent sorting system that can distinguish products by colour and shape - exactly like modern retail warehouses use. This Raspberry Pi 5 kit merges Edge AI with physical automation, letting you build a prototype that scans items via a camera, classifies them using OpenCV, and actuates servo-driven gates to drop them into different bins.

What You'll Build

A functional mini conveyor system equipped with a Pi Camera Module 3 that captures live images of passing objects. The Raspberry Pi 5 runs an OpenCV model to detect colour and shape, then triggers two SG90 servos: one to advance the belt, another to divert items into colour-coded bins. It's a scaled-down version of the automated sorters used by Flipkart and Amazon fulfillment centers.

What You'll Learn

• Object detection using OpenCV with colour segmentation and shape analysis
• Controlling servo motors with GPIO and PWM signals on Raspberry Pi 5
• Integrating camera input to trigger physical actions - a complete edge AI pipeline
• Assembling and programming a multi-component embedded system with NVMe storage for fast data logging

Kit Contents