This week, we presented our CarMa project proposal. We obtain informative feedback about issues we might face in the future. As a team, we also reviewed the presentations of all the other teams in our section. We met as a group this week and ordered the essential hardware components for our project. We also began further research into our chosen computer vision algorithms.
Adriana’s Status Report for 02/27
This week my team and I finalized our presentation for the project proposal. We presented on Thursday with Jananni as our presenter. After analyzing the feedback we received, we figured it was a good time to start purchasing our equipment so we can get to work! I looked through the equipment that is already available in the ECE department in order to see if there were any parts that we could borrow instead of having that come from our budget. We also submitted purchase request forms for our Jetson Xavier board.
Adriana’s Status Report for 02/20
This week, I worked on doing research on the computer vision aspect of our project. Specifically we are determining which approach of facial detection we want to implement. We have successfully narrowed it down between using the Dlib algorithm for face detection, facial landmarking and eye detection or using OpenCV’s DNN algorithm. Both algorithm have its sets of trade offs including performance and accuracy. We are currently learning towards implementing the OpenCV’s DNN algorithm for facial detection because it has a higher frames per second rate and a better accuracy. However, it is an extensive algorithm that may or may not be able to run on our boards GPU. The final decision will be based on the compatibility of the board and the polarizability of the algorithms. As a backup, we will utilize the slower and less accurate Dlib algorithm for face detection since that is able to run on our boards GPU.
Lastly, I worked with my team to finish our proposal presentation slides.