RECOGNITION OF USER-DEFINED PATTERNS AT EDGE DEVICES WITH A HYBRID REMOTE-LOCAL PROCESSING

A system for configuring user-defined recognition patterns at an edge device using a hybrid cloud-edge device approach has a pattern recognition integrated circuit implementing a machine learning pattern recognizer that generates an event recognition output in response to an input thereto based upon pre-trained machine learning weights stored in a memory of the pattern recognition integrated circuit. A remote pattern recognition training service is in communication with a secondary user device receptive to a training input of the user-defined recognition patterns, and returns a set of training weights corresponding to the training input. An application interface connects the pattern recognition integrated circuit to the secondary user device, with the set of training weights returned to the secondary user device being transferable to the machine learning pattern recognizer for storage in the memory of the pattern recognition integrated circuit.