Invention Grant
- Patent Title: Classification parallelization architecture
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Application No.: US17571081Application Date: 2022-01-07
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Publication No.: US11776247B2Publication Date: 2023-10-03
- Inventor: William S. Bowman , Sean Wagoner , Andrew D. Falendysz , Matthew D. Summer , Kevin Makovy , Jeffrey S. Cooper , Brad Truesdell
- Applicant: Tomahawk Robotics
- Applicant Address: US FL Melbourne
- Assignee: Tomahawk Robotics
- Current Assignee: Tomahawk Robotics
- Current Assignee Address: US FL Melbourne
- Agency: Perkins Coie LLP
- Main IPC: G06V10/70
- IPC: G06V10/70 ; G06V10/96 ; G05B13/02 ; G06V10/94 ; G06V20/56 ; G06V10/764

Abstract:
Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.
Public/Granted literature
- US20230222783A1 CLASSIFICATION PARALLELIZATION ARCHITECTURE Public/Granted day:2023-07-13
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