Labeled custom conveyor belt data and trained a YOLOv8 model from scratch. Increased detection accuracy from 72% to 80% with model tuning and augmentation.
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.
This project was created to:
Using a YOLOv8 object detection model, the system performs the following key tasks:
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.