Smart Park

Need:

With a high volume of commuting students at UCSC, and limited parking options; finding an available parking spot can be hard during peak hours

Goal:

Help students find available parking spots with less hassle during peak 

Design Objective:

Manufacture a low-cost, low-power parking lot system that will detect open parking spaces in clear conditions. This product will track multiple parking spaces per sensor, and have moderate maintenance during extended use.

Client(s):

University of California, Transportation and Parking Service

Machine Learning

Conclusions

 

Acknowledgements

A special thanks to Dustin Franklin, of Nvidia, for his support and David Kooi, our TA, for his guidance