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Patent Agency Ranking
公开(公告)号：US20240346428A1
公开(公告)日：2024-10-17
申请号：US18411989
申请日：2024-01-12
Applicant: The Heil Co.
Inventor： Anthony Romano , Michael Dean Geary , John Forrest Smith , Garrett Eckerl
CPC classification number: G06Q10/0832 , B65F1/0033 , G06F18/24 , G06N20/00 , G06V20/00 , G06V20/20 , B65F2001/008
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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公开(公告)号：US20200034785A1
公开(公告)日：2020-01-30
申请号：US16523903
申请日：2019-07-26
Applicant: The Heil Co.
Inventor： Anthony Romano , Michael Dean Geary , John Forrest Smith , Garrett Eckerl
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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公开(公告)号：US12209601B2
公开(公告)日：2025-01-28
申请号：US17578200
申请日：2022-01-18
Applicant: The Heil Co.
Inventor： John Forrest Smith , Alejandro de Leon , Garrett Eckerl , Albert Xiaoxia Jiang , Thomas Leon Wilding
Abstract: A refuse collection vehicle has various hydraulic actuators including at least one cylinder with an internal seal. A sensor is responsive to movement of the piston and sends a signal to a controller to indicate piston movement information during an associated vehicle body component movement. The controller is configured to determine a motion characteristic of the piston during a predetermined body component movement, compare the determined motion characteristic to a stored reference motion characteristic, and in response to determining that a difference between the determined motion characteristic and the reference motion characteristic is greater than a predetermined value, trigger an indication that the refuse collection vehicle is in need of service.
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公开(公告)号：US11875301B2
公开(公告)日：2024-01-16
申请号：US16523903
申请日：2019-07-26
Applicant: the Heil Co.
Inventor： Anthony Romano , Michael Dean Geary , John Forrest Smith , Garrett Eckerl
CPC classification number: G06Q10/0832 , B65F1/0033 , G06F18/24 , G06N20/00 , G06V20/00 , G06V20/20 , B65F2001/008
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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公开(公告)号：US20220243746A1
公开(公告)日：2022-08-04
申请号：US17578200
申请日：2022-01-18
Applicant: The Heil Co.
Inventor： John Forrest Smith , Alejandro de Leon , Garrett Eckerl , Albert Xiaoxia Jiang , Thomas Leon Wilding
Abstract: A refuse collection vehicle has various hydraulic actuators including at least one cylinder with an internal seal. A sensor is responsive to movement of the piston and sends a signal to a controller to indicate piston movement information during an associated vehicle body component movement. The controller is configured to determine a motion characteristic of the piston during a predetermined body component movement, compare the determined motion characteristic to a stored reference motion characteristic, and in response to determining that a difference between the determined motion characteristic and the reference motion characteristic is greater than a predetermined value, trigger an indication that the refuse collection vehicle is in need of service.
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