Processing

Please wait...

Settings

Settings

Goto Application

1. WO2021005479 - PREDICTIVE AND ADAPTIVE LIGHTING CONTROL METHOD AND PREDICTIVE AND ADAPTIVE LIGHTING SYSTEM

Publication Number WO/2021/005479
Publication Date 14.01.2021
International Application No. PCT/IB2020/056305
International Filing Date 03.07.2020
IPC
H05B 47/12 2020.01
HELECTRICITY
05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
BELECTRIC HEATING; ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR
47Circuit arrangements for operating light sources in general, i.e. where the type of the light source is not relevant
10Controlling the light source
105in response to determined parameters
115by determining the presence or movement of objects or living beings
12by detecting audible sound
G08G 1/015 2006.01
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
015with provision for distinguishing between motor cars and cycles
H05B 47/19 2020.01
HELECTRICITY
05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
BELECTRIC HEATING; ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR
47Circuit arrangements for operating light sources in general, i.e. where the type of the light source is not relevant
10Controlling the light source
175by remote control
19via wireless transmission
CPC
G06K 9/00624
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
G08G 1/0116
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
0104Measuring and analyzing of parameters relative to traffic conditions
0108based on the source of data
0116from roadside infrastructure, e.g. beacons
G08G 1/0129
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
0104Measuring and analyzing of parameters relative to traffic conditions
0125Traffic data processing
0129for creating historical data or processing based on historical data
G08G 1/0133
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
0104Measuring and analyzing of parameters relative to traffic conditions
0125Traffic data processing
0133for classifying traffic situation
G08G 1/015
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
015with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
G08G 1/04
GPHYSICS
08SIGNALLING
GTRAFFIC CONTROL SYSTEMS
1Traffic control systems for road vehicles
01Detecting movement of traffic to be counted or controlled
04using optical or ultrasonic detectors
Applicants
  • REBERNIG SUPERVISIONI SRL [IT]/[IT]
Inventors
  • REBERNIG, Massimo
  • RAGGINI, Davide
  • SAMORI, Davide
Agents
  • BUSCA, Andrea
Priority Data
10201900001130410.07.2019IT
Publication Language English (EN)
Filing Language Italian (IT)
Designated States
Title
(EN) PREDICTIVE AND ADAPTIVE LIGHTING CONTROL METHOD AND PREDICTIVE AND ADAPTIVE LIGHTING SYSTEM
(FR) PROCÉDÉ DE COMMANDE D'ÉCLAIRAGE PRÉDICTIF ET ADAPTATIF ET SYSTÈME D'ÉCLAIRAGE PRÉDICTIF ET ADAPTATIF
Abstract
(EN)
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).
(FR)
L'invention concerne un système d'éclairage comprenant une pluralité de dispositifs d'éclairage réglables (15) répartis dans une zone à éclairer et une intelligence artificielle (20) conçue pour apprendre des données de trafic et déterminer les réglages d'éclairage de ladite pluralité de dispositifs d'éclairage réglables (15), ladite intelligence artificielle (20) comprenant : une pluralité de dispositifs intelligents (22) agencés dans ladite zone, chacun associé à au moins l'un desdits dispositifs d'éclairage réglables (15), chaque dispositif intelligent (22) comprenant des moyens de détection sonore (25) conçus pour acquérir des données sonores et un réseau neuronal local (21a) conçu pour apprendre des données de trafic sur la base des données sonores acquises, afin de prédire des événements de trafic local et de traiter des commandes d'éclairage local, dans des limites de réglage d'éclairage prédéfinis, pour le ou les dispositifs d'éclairage réglables associés ; au moins un réseau neuronal général (21b) situé à distance de la pluralité de dispositifs intelligents (22) ; et des moyens d'apprentissage sonore comprenant des moyens de détection d'image (30), des moyens de détection sonore (25) et un réseau d'apprentissage neuronal (21c) coopérant avec ceux-ci pour associer simultanément des données d'image détectées et des données sonores détectées afin de créer des pistes sonores d'échantillon (18) d'une même scène en vue d'apprendre à l'intelligence artificielle (20) à reconnaître et à classer des sons de trafic, ledit réseau neuronal général (21b) étant conçu pour recevoir des données de trafic provenant de ladite pluralité de dispositifs intelligents (22) et pour traiter lesdites données de trafic afin de modifier les limites de réglage d'éclairage de la pluralité de dispositifs d'éclairage réglables (15), ledit réseau neuronal général (21b) comprenant un moyen de transmission conçu pour transmettre lesdites limites de réglage d'éclairage modifiées à la pluralité de dispositifs intelligents (22).
Latest bibliographic data on file with the International Bureau