Our meetings on 2/8 and 2/10 were used to determine our idea: digitizing the professional poker experience by automatically counting and displaying cards for commentators/audience members. We met on 2/15 and 2/17 to further refine the scope of our project. During these sessions, our main purpose was ensuring that our project was broad enough such that everyone would have a fair share of work to accomplish. However, we didn’t want to make the project too broad, as this could make our ideas infeasible and unconnected.
After meeting with Professors Gary and Tamal and talking to our TA Ryan, we decided to stray away from RFID and focus mainly on the following topics: creating custom hardware, performing CV and signal processing through images from a camera, and training/experimenting with various ML models to find the best latency and throughput. Jeremy will work with the imaging pipeline and signal processing. Specifically, he will contribute to designing the lighting, camera geometry, and camera optics to boost image classification accuracies. Sid will help train and configure the ML model and build a web app to display the status of the game. He will work on experimenting with various models and hyperparameters. Ethan will contribute to building custom hardware and assisting with the drivers. He will work on PCB fabrication, spec controllers/sbcs, and the hardware trigger.