Event Title

VODOAT, an automated parking-lot management system

Faculty Mentor

Ghassan Alkadi, Kuo-pao Yang

Location

Library 3E

Session

Session 5

Start Date

13-4-2013 1:30 PM

End Date

13-4-2013 2:30 PM

Description

VODOAT is an automated parking management system prototype that integrates image processing, machine learning, RFID technology and a web interface. The system uses a camera to monitor a parking lot. VODOAT ODOAT fetches images from this camera at regular intervals which are then processed by image processing algorithms to crop out individual parking spots. The parking spots are then analyzed by a machine learning module to predict the occupancy of each spot. The results are then shown in a website as a simulated parking lot.

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Apr 13th, 1:30 PM Apr 13th, 2:30 PM

VODOAT, an automated parking-lot management system

Library 3E

VODOAT is an automated parking management system prototype that integrates image processing, machine learning, RFID technology and a web interface. The system uses a camera to monitor a parking lot. VODOAT ODOAT fetches images from this camera at regular intervals which are then processed by image processing algorithms to crop out individual parking spots. The parking spots are then analyzed by a machine learning module to predict the occupancy of each spot. The results are then shown in a website as a simulated parking lot.