Smart Park
Alexa Modular Adapter
Alexa Enabled Universal Remote
ARbot
AutoIrrigation
Automated Hydroponics
Autonomous UV-C Sanitation Bot
Bus Tracker Project
Bus Tracking System
Bus Usage Monitor
Classmates Search
Cloud Native Wireguard
CO2 Monitoring System
Diabetics Companion
Edu Plastic Pollution
EDU (CPU)
Googun
H2Eyes
IMDB on FPGA
Indoor Robot
Induction Motor
Land Trust Management
Learning Storage Networks
Low Latency Gaming
Marine Plastics Monitor
ODS Web App Performance Tuning
Offroad Spotting Drone
ONI Code Visualization
Painless Healthcare Management
Parquet+OCI project
Preventing Vehicular Heatstroke
Remote Nuclear Monitoring
Rent-a-Driveway 2020
ResearchConnect
RREESS Microgrid Management
Save our Species 2020
SAWbots - Miniature Medical Robots
Self Stabilizing Personal Assistance Robot
Slug Charge
Slug Sat
Smart Cane
Smart Magazine Floorplate
Smart Park
Smart Seat Cover for Posture Detection
Smart Slug Bin
Soaring Slugs
Team Litter Buster
Understanding Healthcare Data
Vibrace
VoIP Management Assistant
Wildfire Detection Drone
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
Acknowledgements
A special thanks to Dustin Franklin, of Nvidia, for his support and David Kooi, our TA, for his guidance