Edge Computing | Model Optimization | BeeMantis | Computer Vision | Deep Learning | AI

AI-on-the-edge refers to the deployment of artificial intelligence (AI) algorithms directly on edge devices, such as cameras or sensors, without relying on cloud or remote computing. In the context of computer vision applications, this approach enables real-time analysis and decision-making at the edge, reducing latency and ensuring privacy. By bringing AI capabilities closer to the data source, AI-on-the-edge empowers various applications, including smart surveillance, autonomous systems, and intelligent IoT devices.