Yasser’s Status Report for 02/11/23

This week I did more research on what computer vision components to implement/design for the project. I focused more on how to utilize the OpenCV library for facial detection and eye tracking by following some of the OpenCV deep learning tutorials from PyImageSearch (https://pyimagesearch.com/2017/08/21/deep-learning-with-opencv/). In addition to this, I researched how to incorporate OpenCV with a GPU to make the computation faster, thus allowing us to reach our goal of a quick feedback response to the driver. That is how I stumbled upon this video
(https://www.youtube.com/watchv=LQymI4uOL7w&list=PLkmvobsnE0GEkJXGxOjV9uuyozS8QGx3M&index=2&ab_channel=NicolaiNielsen-ComputerVision%26AI). All in all, my personal accomplishment was having a rough idea on how to use OpenCV DNN in this project, as well as using other OpenCV packages with a GPU to make computations faster. My progress is on schedule now. I still must specifically research how to incorporate a DNN
module into the Xavier Jetson’s GPU, such as an API. Deliverables that I hope to complete in the next week is the design review, specifically my
section which deals with the computer vision software. This will involve researching any APIs that connect with the Jetson’s GPU for faster computation as well as researching libraries that aid in image classification.