Hi everyone,
Over the past few weeks I've been working on a computer vision project focused on a very specific but important problem in railway monitoring: obtaining usable visual information from fast-moving freight wagons captured by station cameras.
I wanted to share the idea, the architecture, and some of the challenges we're facing, and hopefully get feedback from people who have experience with computer vision, edge AI, OCR, video analytics, or industrial inspection systems.
The Problem
Railway stations already have surveillance infrastructure in place. However, when freight wagons pass through monitoring points at high speed, the resulting footage often suffers from:
