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    • 7. 发明专利
    • Efficient gaming monitoring using machine learning
    • AU2021106867A4
    • 2021-12-02
    • AU2021106867
    • 2021-08-24
    • SENSEN NETWORKS GROUP PTY LTD
    • CHALLA SUBHASHDINH MINH VO NHATDINH MINH VO DUCGRAHAM LACHLANQUINN LOUISDIAZ MATEO
    • G07F17/32A63F1/18A63F3/00G06K9/00G06N3/02
    • Some embodiments relate to systems and methods for gaming monitoring. An example method comprises: receiving by a computing device a series of images and timestamp information of a capture time of each image in the series of images, wherein each image of the series of images is an image of a gaming environment; processing by the computing device a first image in the series of images to determine a first event trigger indicator in the first image; identifying a gaming monitoring start event based on the determined first event trigger indicator; initiating transmission of image data of the first image and images in the series of images captured subsequent to the first image to an upstream computing device; processing by the computing device a second image in the series of images to determine a second event trigger indicator in the second image, the second image being an image captured subsequent to the first image; identifying a gaming monitoring end event based on the determined second trigger indicator; and terminating transmission of the image data responsive to identifying the gaming monitoring end event. Gaming Premises 110 Gaming Environment 120 Gaming Environment Camera 122 - - - - - -Camera 12212 EEdge Computing DeCevice 124 n-Premises Network 130 Plenum Computing _ IDevice 126 On Premise Network On Premise Computing Device ---- Network Computing 132 Device 132 Router 135 )On Premises Server tI Public Network Gaming Premises t7 110 Client Devc14 Remote Server 142 Fig. 1