The most significant risks that we have, especially with the interim demo coming up, is that integration of head pose and eye classification will not work/be difficult. Currently, both Heidi and Vaheeshta are working on the algorithms separately and are testing on their own laptops. If integration takes too long or we run into problems, it may push back the rest of our schedule. In order to manage these risks, our team is communicating with each other extremely well. Also, Heidi and Vaheeshta are both using the same landmarking algorithm so there is a point of reference that may make this integration easier. Danielle set up the Jetson this week, so we will continue testing on the Jetson and will test together to ensure that we can solve any issues that may arise.
There are currently no changes being made to the design of the system. Perhaps within the next couple of weeks, as we begin integration of the algorithms, this may change.
There have been some changes to the schedule following the advice of Professor Mukherjee. We are currently putting a pin in creating our custom dataset, and focusing more on making sure that our algorithms are working.
Danielle has set up the Jetson and configured the Raspberry Pi Camera, and Heidi has begun testing of her algorithms on the Jetson! Pictures below !!! 🙂
