Real Time Detection

Real-time detection focuses on rapidly identifying objects or events of interest within continuous data streams, aiming for high accuracy and minimal latency. Current research emphasizes the application of deep learning, particularly convolutional neural networks (CNNs) like YOLO variants and transformers (DETR), across diverse domains including traffic monitoring, industrial safety, and assistive technologies. These advancements are significantly impacting various fields by enabling timely interventions in safety-critical situations, improving efficiency in industrial processes, and enhancing accessibility for individuals with disabilities.