Build a Vision-Guided Pick-and-Place Robot with Raspberry Pi 5 and YOLOv8

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

Step into AI robotics by building an autonomous arm that sees objects with a camera, identifies them using YOLOv8, and precisely places each item into a designated bin — all powered by the Raspberry Pi 5’s real-time processing. You’ll go from unboxing to a fully functional pick-and-place system in a single weekend.

What You'll Build

You’ll assemble and program a 4-degree-of-freedom robotic arm that uses a Pi Camera Module 3 to capture live feed, runs YOLOv8 object detection, and controls servo motors via a PCA9685 driver to pick and place objects accurately. The result is a compact, vision-sorted automation cell you can demo at school fairs, hackathons, or engineering labs.

What You'll Learn

• Training and deploying YOLOv8 for real-time object detection on edge hardware
• Interfacing the PCA9685 servo driver and MG996R servos with Python
• Optimizing computer vision pipelines on Raspberry Pi 5 with NVMe SSD acceleration
• Tuning inverse kinematics for smooth arm movement and precise placement

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Ideal for CBSE Class 11–12 students exploring AI and robotics, B.Tech ECE/EEE undergraduates building capstone projects, and teams preparing for the Smart India Hackathon or ATL Tinkering Lab challenges. Also perfect for hobbyists at IIT, NIT, VIT, BITS, and other engineering colleges seeking a hands-on computer vision system.

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.