Currently, payment at most car parking-lots is carried out in the following manner: a ticket machine at entrance prints a ticket with a bar-code for each car entering the parking-lot. This ticket is later scanned at a payment terminal to determine the amount to be paid. The procedure can be automated using face detection and recognition technology. This automation can help with the issue of ticket loss/car theft. This study describes an automated car parking system. The proposed system consists of a camera installed at the entrance/exit of the parking-lot. Frames are continuously acquired by the camera. If there is a detected face, it is registered in the database. When a driver is leaving, the face image is captured again at the exit of parking-lot and compared in the database to conclude the identity. The system at the parking entrance/exit is composed of the following processing modules: (i) image acquisition, (ii) vehicle and face detection, and (iii) feature extraction that also includes a feature comparison/classification module for face recognition. The authors propose suitable algorithms for each module and carry out ad-hoc experiments to check the feasibility of the proposed system.
Towards a fully automated car parking system
IET Intelligent Transport Systems ; 13 , 2 ; 293-302
2018-10-29
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
fully automated car parking system , face recognition , recognition technology , automation , parking entrance/exit , ticket machine , vehicle , ticket loss/car theft , payment terminal , face detection , detected face , cameras , entrance prints , parking-lot , face image , traffic engineering computing , feature extraction , mobile computing , bar-code , automobiles , car parking-lots
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