Inspiration
We were inspired heavily by Tesla and its auto drive functionality.
What it does
Lane Guard identifies lane and detects if one is drifting out of their lane using artificial intelligence and image processes
How we built it
All the lane detection was made with OpenCV and Python. We used flask to put it on a website.
Challenges we ran into
At first, we tried to implement a mobile app but it didn't work as flask and OpenCV had limited functionality with Expo. We also ran through various bugs while coding the lane detection. Some of these bugs included dropped frames, buggy behaviors with dotted lines, and tan bridge fly overs.
Accomplishments that we're proud of
We are proud of overcoming all of these bugs as they it took a lot of debugging and frustration to fix most of them.
What we learned
We learned a lot of image processing and how powerful it is. This was our first time using flask so we learned much about that as well.
What's next for Lane Guard
Next for Lane Guard is to implement the mobile app. We also want to try to use a webcam and live stream it directly rather than using a video.
Log in or sign up for Devpost to join the conversation.