Inspiration
Always get lost in the CSULB parking lot.
What it does
The camera takes a video stream and uploads it to a computer vision model that detects empty parking spaces and guides the driver by the attached LED light to a desired parking spot.
How we built it
We are using an external web camera as a video feed and the data will send it through openCV to use image processing to determine empty parking spots. We integrated A*algorithm to find the shortest path. After the path is determined, we send the data to Arduino UNO wifi and wrote in C to light up the desired path.
Challenges we ran into
We were going to implement YOLO V3 for basic car detection, however, we were having performing issues, so we switch to the color detection base method for locating and tracking the car.
Accomplishments that we're proud of
The first time for most of the teammates to use a hardware-software project.
What we learned
- problem-solving skills
- have to adapt to different technology within 24 hours.
What's next for Pathway
-successfully implement AI into the project
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