Raspberry Pi 5 Safety Vision Kit – Build a Manufacturing QC System with Skeleton Tracking

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

In manufacturing environments, humans and robots work side by side. With this kit, you'll build a vision-based safety system that tracks human skeleton movement and halts a robotic arm the instant someone enters a predefined danger zone, just like industrial QC stations. The project runs on a Raspberry Pi 5, uses the Pi Camera Module 3 to detect poses, and controls servos via PCA9685 for real-time response.

What You'll Build

You'll assemble a compact robotic arm and program the Raspberry Pi 5 to perform skeleton tracking using computer vision. When the camera sees a person too close, the arm immediately stops, mimicking a real-world manufacturing safety protocol. The system logs incidents and resumes operation once the zone is clear.

What You'll Learn

• Integrate a Raspberry Pi 5 with an AI camera for real-time human pose estimation
• Configure the PCA9685 servo driver to control a 4-DOF robotic arm
• Implement a safety zone logic that cuts servo power upon intrusion
• Set up the NVMe SSD with Pi 5 M.2 HAT for fast video processing and data logging

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately