This week, my team and I set up and tested our system at the gym and made sure everything was working correctly (sensors are able to detect in the gym, able to send information to the server, able to update the app live). Additionally, I ran into issues with how the server is storing the occupancy and bench data. I worked on debugging the storing of data and based on the preliminary data collected, we noticed that in the actual gym setting, the people counter may be buggy. Based on our data, we worked on tuning our sensors to be more robust. I also worked on the front end and added more past the basic functionalities of the app.
With this update, I believe we are on the right track. Once we have collected more data, our plan is to work on how we can analyze the data to provide unique insights. Once our model is working, I also plan on testing data transmission between the machine that is hosting the model and our backend server. Additionally, I plan on further improving the usability of the mobile app while we collected data.
Our data after setting up this week:
