This week, I focused on exploring improvements to the camera system to support motion detection capabilities. A major area of experimentation involved disabling the camera\u2019s auto-blur and auto-focus features. These automatic settings were interfering with consistent image quality, especially during fast motion, so I\u2019ve been testing different configurations to achieve a more stable image feed that\u2019s better suited for detecting movement.<\/p>\n
Alongside this, I\u2019ve started preliminary work on motion detection by analyzing frame-to-frame changes between game states.\u00a0My goal is to develop a reliable method for identifying when and where motion occurs on the table, so that the algorithm can run the physics simulations without user input.<\/p>\n
I have also been discussing with my team on weather to pursue the use of a raspberry pi to host our own web server to keep track of previously played games.<\/p>\n
I have been experimenting and have made minor progress on these tasks, however, I am on track with my progress.<\/p>\n
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This week, I focused on exploring improvements to the camera system to support motion detection capabilities. A major area of experimentation involved disabling the camera\u2019s auto-blur and auto-focus features. These automatic settings were interfering with consistent image quality, especially during fast motion, so I\u2019ve been testing different configurations to achieve a more stable image feed … <\/p>\n