US 11,694,336 B2
System and method for machine learning-driven object detection
Nhat Vo, Abbotsford (AU); Subhash Challa, Abbotsford (AU); and Louis Quinn, Abbotsford (AU)
Assigned to SenSen Networks Group PTY Ltd, Abbotsford (AU)
Filed by SenSen Networks Group PTY Ltd, Abbotsford (AU)
Filed on May 12, 2021, as Appl. No. 17/318,092.
Application 17/318,092 is a continuation of application No. 16/652,837, granted, now 11,288,508, previously published as PCT/AU2018/051071, filed on Oct. 2, 2018.
Claims priority of application No. 2017903975 (AU), filed on Oct. 2, 2017.
Prior Publication US 2021/0264149 A1, Aug. 26, 2021
Int. Cl. G06T 7/12 (2017.01); G06T 7/11 (2017.01); G06N 3/08 (2023.01); G07F 17/32 (2006.01); H04N 7/18 (2006.01); G06V 40/10 (2022.01); G06F 18/21 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01)
CPC G06T 7/12 (2017.01) [G06F 18/21 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/11 (2017.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 40/103 (2022.01); G07F 17/3206 (2013.01); H04N 7/183 (2013.01)] 19 Claims
OG exemplary drawing
 
13. A computing apparatus comprising:
at least one camera configured to capture images of a gaming surface;
a non-transitory computer-readable memory storing computer-readable instructions; and
at least one processor configured to execute the computer-readable instructions to cause the computing apparatus to,
use a region proposal network (RPN) to identify a region of interest in at least one of the captured images,
use a wager object detection network to receive an output of the RPN and detect at least one wager object in the captured images based on the output of the RPN, and
determine a wager amount based on the identified region of interest and the detected at least one wager object.