We came up with an idea that included facial recognition for player identification purposes. We used several CV solutions for automatic player identification:
During the PoC stage, we’ve inspected several ML algorithms for pose and face detection. We’ve made a documentation that included project overview, use-case scenarios, preliminary architecture, and functionality list. By the end of the PoC, we were ready for the start of the project by combining the ML algorithms together and integrating them into a web application.
One of the most crucial requirements we also should remember about was the speed of the recognition process. The speed was a strict requirement for several reasons:
As for the client, the main focus was on bringing more interactivity between the parents and the results of their children. By receiving an analytical overview of their kids performance, they become more engaged in the whole training process.