📌 Project Overview

The Bar Detection and Conveyor Movement Monitoring system is designed to automate the process of monitoring metal bars on a conveyor belt using computer vision.

🎯 Purpose

This project was created to:

• Ensure uninterrupted operation of industrial conveyor systems
• Automatically detect stoppages in conveyor movement
• Assist in quality control and safety monitoring
• Reduce manual supervision and human error in production environments

🛠️ What the Project Does

Using a YOLOv8 object detection model, the system performs the following key tasks:

• Detect Metal Bars in Real Time
  It identifies and localizes metal bars moving on a conveyor belt in each video frame.
• Track Movement of Bars
  By calculating the centroid positions of the detected bars across frames, it can track their movement.
• Detect Conveyor Stoppages
  If the system detects that bars are no longer moving (based on position changes below a certain threshold), it concludes that the conveyor belt has stopped.
• Display Visual Alerts
  • When the conveyor is running: It displays an “OK” status in green.
  • When a stoppage is detected: It displays a “Conveyor Halted” alert in red.

📷 Input Types Supported

• Pre-recorded video footage (e.g., from security or monitoring cameras)
• Live video feed (e.g., from a webcam or IP camera)

Note: This system can be highly useful in manufacturing plants, logistics centers, or any environment where materials are transported via conveyor belts, enabling proactive maintenance and reducing downtime.