Conveyor Belt Sorting System

A Raspberry Pi-powered conveyor belt sorting system that uses an Intel RealSense camera to detect red objects and controls an MG995 servo motor to sort them in real-time.

Demo

Photos

How It Works

1. The Intel RealSense D435 camera watches the conveyor belt
2. OpenCV processes the video feed and detects red objects using HSV color filtering
3. When red is detected, the MG995 servo moves to 110° to sort the object
4. When no red is detected, the servo returns to 170°
5. A live web dashboard at http://localhost:5000 shows the camera feed and red mask in real-time

Hardware

• Raspberry Pi
• Intel RealSense D435 depth camera
• PCA9685 servo controller
• MG995 servo motor
• Conveyor belt

Software Dependencies

• Python 3
• OpenCV
• pyrealsense2
• Flask
• adafruit-circuitpython-pca9685
• NumPy

Files

File	Description
conveyor_camera.py	Main system — red detection + servo control + live web stream
motor_test.py	Standalone servo test script for calibrating the MG995
test_realsense.py	Standalone RealSense camera test with color detection

Usage

python3 conveyor_camera.py

Then open http://localhost:5000 in your browser to see the live camera feed.

Wiring

• PCA9685 SDA → Raspberry Pi SDA
• PCA9685 SCL → Raspberry Pi SCL
• MG995 servo → PCA9685 Channel 0
• RealSense D435 → USB 3.0 port