Artificial Vision at NORCE with lifelong visual computing and self-learning capabilities

VIDEO: NORCE aims at making a leap forward with self-aware and self-learning vision systems having lifelong computing capabilities in ever-changing environments.

Sist oppdatert: Aug 26, 2020
Published Aug 19, 2020

Biology is an exemplary model in real-time vision, perception, and learning - with remarkable performance in routine functions, recognition, and dynamic adaptation.

Artificial vision is a field dealing with artificially mimicking biological visual intelligence. In other words, it aims to duplicate the retina and brain to establish the next generation of bio-inspired smart cameras.

NORCE research is devoted to realizing machines that can see like humans by exploiting novel non-conventional visual sensing and establishing foundational artificial intelligence (AI) concepts.

Artificial vision ultimately aims at autonomic vision systems contributing to tipping points in the next decade that will change our all lives.

Application scenarios of NORCE include innovative industrial automation, predictive and autonomous operations concepts for land-based industries (i.e. manufacturing, process, food), inspection of energy infrastructures, offshore operations, and maintenance, transport, and robotization.