Vision System

Vision systems aim to replicate and enhance human vision capabilities using computational methods, primarily focusing on object detection, recognition, and tracking. Current research emphasizes improving accuracy and efficiency in challenging scenarios like camouflaged object detection and low-light conditions, often employing deep learning architectures such as YOLO and Vision Transformers, along with advancements in sensor technology like event cameras. These improvements have significant implications for diverse fields, including autonomous vehicles, industrial automation, healthcare, and ecological monitoring, by enabling more robust and reliable automated systems.