Predictive and adaptive lighting control method and predictive and adaptive lighting system

Abstract

A lighting system comprising a plurality of controllable lighting devices (15) distributed in an area to be illuminated and an artificial intelligence (20) adapted to learn traffic data and to determine the lighting settings of said plurality of controllable lighting devices (15), wherein said artificial intelligence (20) comprises: —a plurality of intelligent devices (22) arranged in said area, each associated with at least one of said controllable lighting devices (15), wherein each intelligent device (22) comprises sound sensing means (25) adapted to acquire sound data and a local neural network (21a) adapted to learn traffic data based on the acquired sound data, to predict local traffic events and to process local lighting commands, within predetermined lighting setting limits, for the at least one associated controllable lighting device, —at least one general neural network (21b) remote with respect to the plurality of intelligent devices (22), and —sound training means comprising image sensing means (30), sound sensing means (25) and a neural training network (21c) cooperating therewith to associate simultaneously sensed image data and sound data to create sample soundtracks (18) of a same scene to thereby teach the artificial intelligence (20) to recognize and classify traffic sounds, wherein said at least one general neural network (21b) is adapted to receive traffic data from said plurality of intelligent devices (22) and to process said traffic data to modify the lighting setting limits of the plurality of controllable lighting devices (15), wherein said at least one general neural network (21b) comprises transmission means adapted to transmit said modified lighting setting limits to the plurality of intelligent devices (22).

Dependencies are inferred from the claim text.