General Vision: Introducing Realistic AI

General Vision deploys neuromorphic chips, low-power devices which can learn and react autonomously without being connected to a high-performance computer or to the cloud

General Vision’s NeuroMem technology can be leveraged across many applications from consumer and industrial IoT to big data analytics and network security. One of its flagship applications has been the inspection of fishes before fileting offshore. Thirty CogniSight cameras with each several hundred neurons have been installed since 2003 on fishing vessels in Norway and Iceland and trained by the fishermen themselves to sort the fishes as they come on the boat, saving 2 million dollars per boat per year. Other typical applications where NeuroMem can outperform conventional image processing tools are raw produce and surface inspection. The neurons based on a parallel, hard-wired architecture are capable of incremental learning and non-linear classification with deterministic latencies. They can be trained on-line and off-line and their response time remains constant and in the order of microseconds regardless of the number of models learned and stored in the neurons. This is essential for complex patterns as seen in wood, glass, textile, but also waste sorting and wafer inspection. Beyond factory automation, NeuroMem can be deployed for home and building automation, automotive, and more. Because the neurons are agnostic to the data source, they can learn and recognize signatures deriving from images, audio, bio-signals, internet packets, and semantic. Multiple NeuroMem networks can be easily cascaded for sensor fusion and robust decision making.

The technology is scalable and is commercially available today as a pioneer of realistic AI. With the continuous enhancement of its technology and products, General Vision continues to prove its real-time benefits across different sectors.