Here’s our first post! Given that, we should probably explain what the project is and why we are doing it. This project is part of our Senior Design class at UC Davis. Our sponsor, professor Tagkopoulos, wanted to encorporate a quadcopter, Google Glass, real-time processing, and object recognition in one large project.
After hours of thinking of practical use cases using all those requirements, we settled on a parking enforcement application. The vision is to have quadcopters scan timed street parking, grab parked cars’ license plates, send them to a server to perform object recognition and extract the license plate numbers. From there, the server logs the timestamp, GPS info, and license number to track how long a car has been parked. Crosshchecking with a database of parking information for a given city, the server can have triggers set to act when a car is overparked. Initially we will have it send a notification to a parking officers’ phone (through a mobile app we will create) or to their Google Glass, if they have that set up. We plan to include a sign-up service where people send us their phone numebrs and license plate information so that they will get preemptive text notifications before the officer is informed, so as to give them a chance to leave before the car is legally overparked.
Our sponsor loved the idea =)
Quadcopter Parking Enforcement 