Refuse container identification using parcel data

US11580799B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11580799-B2
Application numberUS-202117553167-A
CountryUS
Kind codeB2
Filing dateDec 16, 2021
Priority dateJun 19, 2018
Publication dateFeb 14, 2023
Grant dateFeb 14, 2023

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Techniques are described for correlating entity identification information with refuse containers being serviced by a refuse collection vehicle (RCV). Location data can be collected by location sensor(s) on the RCV at a time when a triggering condition is present, such as a time when a lift arm is operating to empty a refuse container into the hopper of the RCV. The location data can be provided as input to an algorithm that estimates a container location through a vector offset to account for the distance and direction of the RCV lift arm relative to the location sensor in the RCV. The container location can be correlated with parcel data to determine the parcel that the container was on or near to when it was serviced, and the customer or other entity associated with the parcel can be correlated to the particular container based on the analysis.

First claim

Opening claim text (preview).

The invention claimed is: 1. A system comprising: at least one processor; and memory communicably coupled to the at least one processor, the memory storing instructions which, when executed, cause the at least one processor to perform operations comprising: receiving, by the at least one processor, data indicating an operational state of at least one body component of a refuse collection vehicle (RCV); analyzing, by the at least one processor, the data to detect a particular operational state of the at least one body component, the particular operational state corresponding to the RCV servicing a container; receiving, by the at least one processor, location data comprising global positioning system (GPS) coordinates corresponding to a location of the RCV; applying, by the at least one processor, an algorithm to the location data to offset the GPS coordinates by a predetermined vector to determine a location of the container; and correlating, by the at least one processor, the location of the container to parcel data to identify an entity associated with the container. 2. The system of claim 1 , wherein the data is generated by at least one body sensor device on the RCV. 3. The system of claim 1 , wherein the particular operational state comprises a lift arm of the RCV being at a particular position in a lift cycle to lift the container. 4. The system of claim 1 , wherein the particular operational state comprises a top lid of a hopper of the RCV being opened. 5. The system of claim 1 , wherein the particular operational state comprises a grabber of the RCV being in a particular position. 6. The system of claim 1 , wherein the location data is provided by a receiver on the RCV, the receiver configured to receive signals from a global positioning system (GPS). 7. The system of claim 1 , wherein the predetermined vector includes: a first distance in a first direction; a second distance in a second direction that is different than the first direction; or the first distance in the first direction and the second distance in the second direction that is different than the first direction. 8. The system of claim 7 , wherein the second direction is perpendicular to the first direction. 9. The system of claim 7 , wherein the first direction is along a long axis of the RCV. 10. The system of claim 7 , wherein the first distance is less than the second distance. 11. A computer-implemented method performed by at least one processor, the method comprising: receiving, by the at least one processor, data indicating an operational state of at least one body component of a refuse collection vehicle (RCV); analyzing, by the at least one processor, the data to detect a particular operational state of the at least one body component, the particular operational state corresponding to the RCV servicing a container; receiving, by the at least one processor, location data comprising global positioning system (GPS) coordinates corresponding to a location of the RCV; applying, by the at least one processor, an algorithm to the location data to offset the GPS coordinates by a predetermined vector to determine a location of the container; and correlating, by the at least one processor, the location of the container to parcel data to identify an entity associated with the container. 12. The computer-implemented method of claim 11 , wherein the data is generated by at least one body sensor device on the RCV. 13. The computer-implemented method of claim 11 , wherein the particular operational state comprises a lift arm of the RCV being at a particular position in a lift cycle to lift the container. 14. The computer-implemented method of claim 11 , wherein the particular operational state comprises a top lid of a hopper of the RCV being opened. 15. The computer-implemented method of claim 11 , wherein the particular operational state comprises a grabber of the RCV being in a particular position. 16. The computer-implemented method of claim 11 , wherein the location data is provided by a receiver on the RCV, the receiver configured to receive signals from a global positioning system (GPS). 17. The computer-implemented method of claim 11 , wherein the predetermined vector includes: a first distance in a first direction; a second distance in a second direction that is different than the first direction; or the first distance in the first direction and the second distance in the second direction that is different than the first direction. 18. The computer-implemented method of claim 17 , wherein the second direction is perpendicular to the first direction. 19. The computer-implemented method of claim 17 , wherein the first direction is along a long axis of the RCV. 20. The computer-implemented method of claim 17 , wherein the first distance is less than the second distance.

Assignees

Inventors

Classifications

  • Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation · CPC title

  • Logistics, e.g. warehousing, loading or distribution; Inventory or stock management · CPC title

  • Output of additional, non-guidance related information, e.g. low fuel level (G01C21/3679 takes precedence) · CPC title

  • G07C5/085Primary

    using electronic data carriers · CPC title

  • Display of a road map (G01C21/3614 takes precedence; guidance using 3D or perspective road maps G01C21/3635) · CPC title

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What does patent US11580799B2 cover?
Techniques are described for correlating entity identification information with refuse containers being serviced by a refuse collection vehicle (RCV). Location data can be collected by location sensor(s) on the RCV at a time when a triggering condition is present, such as a time when a lift arm is operating to empty a refuse container into the hopper of the RCV. The location data can be provide…
Who is the assignee on this patent?
Heil Co
What technology area does this patent fall under?
Primary CPC classification G07C5/085. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 14 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).