Video Analytics

Video analytics uses computer vision and machine learning to extract information from video data, aiming for real-time processing and accurate insights. Current research emphasizes efficient edge computing architectures, often employing lightweight models like Vision Transformers (ViTs) and leveraging techniques such as continuous learning and adaptive model selection to handle data drift and varying resource constraints. This field is crucial for applications ranging from healthcare and traffic management to security and autonomous systems, driving advancements in both algorithm design and hardware acceleration.