Image Preprocessing:
Prepares railway images and video frames by resizing, normalizing, and enhancing the input data for reliable wagon detection.
Feature Extraction:
Extracts important visual features such as wagon shapes, edges, dimensions, and other patterns from railway images.
Object Detection Model:
Uses a deep learning object-detection model such as YOLO to detect and localize train wagons within images or video frames.
Classification & Tracking:
Identifies detected wagons and tracks their movement across consecutive video frames for consistent monitoring.
Tools:
Python, YOLO, OpenCV, PyTorch, Computer Vision.
