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:
Jan. 16, 2024

Filed:

Jul. 26, 2019
Applicant:

The Heil Co., Chattanooga, TN (US);

Inventors:

Anthony Romano, Havertown, PA (US);

Michael Dean Geary, Toronto, CA;

John Forrest Smith, Flat Rock, AL (US);

Garrett Eckerl, Fort Payne, AL (US);

Assignee:

The Heil Co., Chattanooga, TN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0832 (2023.01); B65F 1/00 (2006.01); G06N 20/00 (2019.01); G06V 20/20 (2022.01); G06F 18/24 (2023.01); G06V 20/00 (2022.01);
U.S. Cl.
CPC ...
G06Q 10/0832 (2013.01); B65F 1/0033 (2013.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06V 20/00 (2022.01); G06V 20/20 (2022.01); B65F 2001/008 (2013.01);
Abstract

A computer-implemented method for analyzing refuse includes operations of receiving sensor data indicating an operational state of a vehicle body component of a refuse collection vehicle (RCV); analyzing the sensor data to detect a presence of a triggering condition based at least partly on a particular operational state of the vehicle body component, as indicated by the sensor data; in response to detecting the triggering condition, accessing image data indicating a physical state of refuse collected by the RCV; providing the image data as input to at least one contaminant detection model trained, using at least one machine learning (ML) algorithm, to output a classification of the image data, the classification indicating a degree of contamination of the refuse; and storing, in a machine-readable medium, the classification of the image data.


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