Invention Grant
- Patent Title: Realtime inventory location management using deep learning
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Application No.: US16256936Application Date: 2019-01-24
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Publication No.: US11023850B2Publication Date: 2021-06-01
- Inventor: Jordan E. Fisher , Daniel L. Fischetti , Nicholas J. Locascio
- Applicant: STANDARD COGNITION, CORP
- Applicant Address: US CA San Francisco
- Assignee: STANDARD COGNITION, CORP
- Current Assignee: STANDARD COGNITION, CORP
- Current Assignee Address: US CA San Francisco
- Agency: Haynes Beffel & Wolfeld LLP
- Main IPC: G06Q10/08
- IPC: G06Q10/08 ; G06N3/08 ; G06T7/70 ; G06K9/00 ; G06T7/50 ; H04N17/00 ; G06T7/292 ; H04N5/232 ; H04N5/247 ; G06T7/20

Abstract:
Systems and techniques are provided for tracking locations of inventory items in an area of real space including inventory display structures. A plurality of cameras are disposed above the inventory display structures. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A memory stores a map of the area of real space identifying inventory locations on inventory display structures. The system is coupled to a plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to find a location of an inventory event in three dimensions in the area of real space. The system matches the location of the inventory event with an inventory location.
Public/Granted literature
- US20190156277A1 REALTIME INVENTORY LOCATION MANAGEMENT USING DEEP LEARNING Public/Granted day:2019-05-23
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