Automated fault detection in violation enforcement cameras within electronic toll collection systems

Details

Event International IEEE Conference on Intelligent Transportation Systems

Authors

Anurag Ganguli
Technical Publications
October 6th 2013
Electronic Toll Collection facilities offer travelers the ability to pay toll electronically, most commonly via Radio Frequency Identification transponders placed within the vehicle. ETCs are complex systems comprising a multitude of sensing and electronic equipment. To prevent violation, photo enforcement cameras are used to capture license plate images of the violating vehicle. To ensure adequate image quality and integrity of these cameras, it is standard maintenance practice to manually review camera images on a periodic basis. The manual review process can be expensive, error prone and may involve only a fraction of the images actually captured. To address this problem, we present algorithmic tools that can be used to automatically review images to detect any potential camera faults, thus, reduce human workload and increase maintenance efficiency. Wherever possible, we use no-reference or reduced-reference approaches for fault detection.

Citation

Ganguli, A.; Raghavan, A.; Kozitsky, V.; Burry, A. Automated fault detection in violation enforcement cameras within electronic toll collection systems. International IEEE Conference on Intelligent Transportation Systems; 2013 October 6-9; The Hague, Netherlands.

Additional information

Focus Areas

Our work is centered around a series of Focus Areas that we believe are the future of science and technology.

FIND OUT MORE
Licensing & Commercialization Opportunities

We’re continually developing new technologies, many of which are available for¬†Commercialization.

FIND OUT MORE
News

PARC scientists and staffers are active members and contributors to the science and technology communities.

FIND OUT MORE