Camera Based

Camera-based systems are rapidly advancing, driven by the need for efficient, privacy-preserving, and robust visual data processing in diverse applications ranging from autonomous vehicles and smart agriculture to healthcare monitoring and industrial inspection. Current research emphasizes developing computationally efficient models, such as lightweight convolutional neural networks (e.g., FCOS-Lite, YOLO variations) and graph neural networks, for real-time processing on edge devices, often incorporating techniques like knowledge distillation and quantization to optimize performance. These advancements are significantly impacting various fields by enabling automated tasks, improving safety and security, and facilitating remote monitoring with enhanced accuracy and reduced latency.