Artificial Visionwith NeuroMem neuromorphic chips
Our CogniSight® image recognition technology is an essential enabler for practical articifial vision.
Powered by a trainable NeuroMem® network, CogniSightcan learn from examples taught with or without supervision, and describe the recognized objects or events in a semantic or graphical format. A CogniSight engine can be composed of single or multiple networks and take the form of a single low-power SOC, a module or a highly scalable vision system.
CogniSight has applications in miniature vision sensors, industrial and consumer cameras, stereoscopic and hyperspectral systems, DVRs, etc. It can be trained for part identification, defect detection, object classification, target tracking, template matching and more.
Artificial vision requires fast low-power self-learning artificial intelligence. This is why General Vision uses exclusively the NeuroMem® technology for pattern learning and recognition. For more information visit NeuroMem Technologies which promotes and disseminates NeuroMem® accross all markets from edge intelligence to big data.