US 11,887,351 B1
System and method for hyperspectral image-based quality control analysis of crop loads
Timea Ignat, Midreshet Ben Gurion (IL); Guy Morgan, Tel Aviv (IL); Eliyahu Osherovich, Haifa (IL); and Ze'ev Schmilovitch, Yehud-Monosson (IL)
Filed by Timea Ignat, Midreshet Ben Gurion (IL); Guy Morgan, Tel Aviv (IL); Eliyahu Osherovich, Haifa (IL); and Ze'ev Schmilovitch, Yehud-Monosson (IL)
Filed on Jul. 26, 2023, as Appl. No. 18/226,543.
Int. Cl. G06V 10/00 (2022.01); G06V 10/58 (2022.01); G06V 20/68 (2022.01); G06T 7/00 (2017.01); G01N 33/02 (2006.01)
CPC G06V 10/58 (2022.01) [G01N 33/02 (2013.01); G06T 7/0004 (2013.01); G06V 20/68 (2022.01); G06T 2207/10036 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30128 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for imaging-based quality assessment of raw produce loads, the system comprising:
an imaging structure comprising a mounting beam, wherein the mounting beam comprises a measurement chamber comprising:
one or more light sources;
one or more optical sensors operating in visual and/or non-visual spectra, and
one or more additional sensors;
wherein the measurement chamber is configured to minimize external light from reaching the one or more camera; and
wherein the mounting beam is configured to allow vertical, lateral and/or longitudinal and movement of the measurement chamber,
a processing unit comprising:
a memory; and
a processor coupled to the memory programmed with executable instructions, the executable instructions comprising a monitoring component for:
a. controlling the vertical, lateral and/or longitudinal movement of the measurement chamber relative to the mounting beam, so as to position the measurement chamber at a predetermined position relative to produce in the produce load;
b. controlling one or more opto-mechanical parameters of the one or more optical sensors, the opto-mechanical parameters selected from: a field of view of the one or more optical sensors, exposure time, aperture, gain, sensitivity, frame rate and any combination thereof;
c. controlling a position, orientation, light projection and/or light intensity of the one or more light sources;
d. triggering signal acquisition by the one or more optical sensors and the one or more additional sensors, upon positioning and/or configuration of the imaging chamber, the one or more optical sensors and/or the one or more light sources;
e. receiving spectral data from the one or more optical sensors and sensor data from the one or more additional sensors;
f. fusing the spectral and sensor data;
g. feeding the fused data into an AI, ML, DL algorithm and/or big-data analytics model, to derive internal and/or external quality attributes of the produce; and
h. producing a report indicating the derived internal and/or external quality attributes.