SMART RAIL VEHICLE MONITORING: A COMPARATIVE STUDY OF CNN ARCHITECTURES
This paper presents performance analysis of two deep learning architectures for object detection YOLOv2 and YOLOv4-Tiny aimed at identifying the model state for inspecting the braking systems of Series 441 and 444 locomotives. This models were trained and evaluated using a unified dataset comprising images of 3220 Brak...