Invention Grant
- Patent Title: System and method for machine learning-driven object detection
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Application No.: US17318092Application Date: 2021-05-12
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Publication No.: US11694336B2Publication Date: 2023-07-04
- Inventor: Nhat Vo , Subhash Challa , Louis Quinn
- Applicant: SenSen Networks Group PTY Ltd
- Applicant Address: AU Abbotsford
- Assignee: SenSen Networks Group PTY Ltd
- Current Assignee: SenSen Networks Group PTY Ltd
- Current Assignee Address: AU Abbotsford
- Agency: Harness, Dickey & Pierce, P.L.C.
- Priority: AU 17903975 2017.10.02
- Main IPC: G06T7/12
- IPC: G06T7/12 ; G06T7/11 ; G06N3/08 ; G07F17/32 ; H04N7/18 ; G06V40/10 ; G06F18/21 ; G06F18/24 ; G06N3/045 ; G06V10/82 ; G06V20/52
Abstract:
Embodiments relate to systems and methods for gaming monitoring. In particular, embodiments relate to systems and methods for gaming monitoring based on machine learning processes configured to analyse captured images to identify or detect game objects and game events to monitor games.
Public/Granted literature
- US20210264149A1 SYSTEM AND METHOD FOR MACHINE LEARNING-DRIVEN OBJECT DETECTION Public/Granted day:2021-08-26
Information query
