This week, I made significant progress on multiple aspects of the project. I continued testing the camera system extensively to ensure accurate and reliable image capture. In particular, I worked on refining the camera’s positioning and settings to improve its ability to capture the game state with minimal distortion. I also focused on integrating the camera system with the CV algorithm, making sure that the image processing pipeline correctly detects and interprets the positions of the balls on the table. To enhance the user experience, I worked on the UI, making it more intuitive for players to capture the game state with minimal effort.
Beyond software improvements, I spent time optimizing the physical setup of the camera and projector. I experimented with different mounting positions and configurations to ensure stability while maximizing visibility. Additionally, I worked on adjusting the lighting conditions around the table to reduce shadows, which were interfering with the CV algorithm’s ability to detect the balls accurately. This involved testing various light placements and intensities to find an optimal setup that enhances detection reliability.
I have been encountering a few bugs with the camera system, but expect to have them resolved before the interim demo. Overall, I am on track with my progress.
^ Image of camera debugging
^ image of table from system