The reduction in data bandwidth is critical for "Edge AI" applications. By transmitting only relevant events, the Imago VisionCam allows for decentralized processing, removing the need to stream heavy video feeds to a central server.
The proposes a paradigm shift. Instead of capturing frames, the system operates on an event-based architecture. Each pixel operates independently and asynchronously, transmitting a signal only when a change in log-intensity occurs. This paper details the hardware architecture, the processing pipeline, and the experimental results validating the Imago VisionCam’s performance in dynamic environments. imago visioncam
Imago VisionCam: Revolutionizing Industrial Automation with Edge AI and Deep Learning The reduction in data bandwidth is critical for
integrates the processor, memory, and AI accelerators directly into the camera housing. the processing pipeline