Detection of Violation in RLR Using RLC

Abstract

Red Light Camera (RLC) systems play a significant r ole in decreasing intersection violations and crashes in communities throughout the world. It has done the migration of enforcement technology from law to photo. Automatic Number Plat e Recognition (ANPR) is the powerful backend of this photo enforcement solution. Clear e vidences, high percentage of citations and low involvement of police personnel are the facts w hich contributed to the popularity of RLC systems. Since ANPR systems are no longer a surprise, traffi c experts might replace RLCs by systems which are not just identify number plates. Besides that, existing RLC system fails in taking immediate actions up on violators (Red light Runner s) who pass an intersection with a significant speed. Reason would be that system cann ot identify the fast moving object (rather the number plate) and no mechanism of an alert serv ice to inform about the violation. By taking these drawbacks in to the consideration the author proposes a solution this encloses the existing solution with the areas of Motion Deblurri ng and Location Based Services. Location Based Services is a buzzword in the cont ext of modern mobile computing. The solution which is proposed has implemented one of i ts five major services: i.e. locating. An Alert service will be activated in every violation and offending vehicle s data will be sent to the nearest police officers who are in a selected r adius. Determining the proximity of police personnel will be the part of LBS. Finally the offi cer can continue with any legal actions by having clear evidences from the system. This solution would be a great combination of areas of mobile computing and ANPR with Image processing.