公开(公告)号：US20230375399A1

公开(公告)日：2023-11-23

申请号：US18026308

申请日：2021-09-16

Applicant: Omar MAGANA-LOAIZA ,  Chenglong YOU

Inventor： Omar MAGANA-LOAIZA ,  Chenglong YOU

IPC: G01J1/02 ,  G01J1/44 ,  G06N3/04

CPC classification number: G01J1/0238 ,  G01J1/0271 ,  G01J1/44 ,  G06N3/04 ,  G01J2001/442 ,  G01J2001/448

Abstract: A method and system for identification of light source types includes detecting individual photons for a measurement time period to provide a times series of individual photon events, segmenting the time series into a plurality of time bins, and determining a number of detected photons within each time bin to provide a time series of photon counts, determining a probability distribution P(n) from the time series of photon counts, the probability distribution providing the probability of detection of n photons (n=0 . . . nmax), inputting each of the values of P(n) as a nmax+1 component feature vector into a single neuron neural network that has been previously trained on a plurality of light source types, and receiving as output a classifier that has a value that identifies the light source type. An average number of photons in the plurality of time bins is less than one photon.