Advancing Intelligence with Edge Learning for Computer Vision Applications
The abundance of connected devices and the increasing demand for real-time intelligent systems have exposed critical limitations in traditional cloud-based Computer Vision architecture. These systems often struggle with latency introduced by data transfer to remote servers, bandwidth constraints imposed by high-resolution visual data, privacy concerns arising from transmitting sensitive information, and scalability challenges associated with […]