Detection System

Detection systems, encompassing diverse applications from industrial fault diagnosis to object recognition in autonomous vehicles, aim to reliably identify specific events or objects within complex data. Current research emphasizes the use of machine learning, particularly deep neural networks like YOLO and transformer models, often incorporating multimodal data fusion (e.g., combining visual and thermal imagery) to improve robustness and accuracy. These advancements are driving significant improvements in various fields, including industrial process monitoring, enhanced safety in autonomous systems, and combating online misinformation through fake review detection.