A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine

Abstract

The visual attention mechanism, which is the way humans perform object recognition [1], was applied to the implementation of a high performance object recognition chip [2]. Even though the previous chip achieved 50% gain of computational cost [2], it could recognize only one object in a frame so that it is not suitable for advanced multi-object recognition applications such as video surveillance, intelligent robots, and autonomous vehicle navigation [3].