The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 13, 2022

Filed:

Feb. 26, 2021
Applicant:

Wipro Limited, Bangalore, IN;

Inventors:

Sarthak Panigrahi, Bangalore, IN;

Anandaraj Thangappan, Bangalore, IN;

Assignee:

Wipro Limited, Bangalore, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06K 9/62 (2022.01); G01N 23/04 (2018.01); G01B 11/22 (2006.01); G01S 17/89 (2020.01); G01N 23/083 (2018.01); G01N 33/02 (2006.01); G06V 10/60 (2022.01); G06V 10/58 (2022.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); G01B 11/22 (2013.01); G01N 23/04 (2013.01); G01N 23/083 (2013.01); G01N 33/025 (2013.01); G01S 17/89 (2013.01); G06K 9/6201 (2013.01); G06K 9/627 (2013.01); G06K 9/6217 (2013.01); G06K 9/6288 (2013.01); G06V 10/60 (2022.01); G01N 2223/04 (2013.01); G01N 2223/40 (2013.01); G01N 2223/618 (2013.01); G01N 2223/646 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10036 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/30128 (2013.01); G06V 10/58 (2022.01);
Abstract

System and method of detecting infestation in agricultural products is disclosed. In one embodiment, an infestation detection system captures hyperspectral imaging data and depth imaging data for a plurality of points on an agricultural product upon directing a light source at the agricultural product. The system analyses the captured imaging data to derive morphological details as well as spectral signatures for complete 360° view of the plurality of points on the agricultural product. In an embodiment, the spectral signatures may be corrected for one or more pixels associated with the plurality of points in the agricultural product by integrating the hyperspectral imaging data with the depth imaging data. The system further classifies one or more regions of the agricultural product based on matching of spectral signatures for the one or more pixels with pre-defined spectral signatures stored for a plurality of agricultural products, and accordingly detect infestation.


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