What is Edge AI + Vision?
“Edge AI + Vision” refers to the practical use of artificial intelligence and computer vision in machines that perceive and understand their environment through visual and other means
By “edge AI,” we mean AI processing that occurs locally, whether on a chip, device, or on premise. We include hybrid approaches where some processing happens locally and some in the cloud. And we include edge devices that process all sorts of sensor data: images, audio, vibration, radar, lidar, and the like. Examples of edge AI systems include a warehouse robot using cameras and lidar, a smart speaker with local wakeword processing, an on-premise video recorder with object detection and tracking, and a radar-based hospital patient monitor that uses AI to detect breathing, movement, and sleep.
By “computer vision” we mean the use of algorithms and AI to extract meaning from images or video. Examples include motion and object tracking, defect detection (e.g., on an assembly line), pedestrian detection for automobiles, and location recognition and mapping from visual inputs.
