Enhancing Management Security by using License Plate Recognition System
Ashardi Abas1, Abu Bakar Ibrahim2

1Ashardi Abas, Department of Computing, Faculty of Art, Computing & Creative Industry, University Pendidikan Sultan Idris.

2Abu Bakar Ibrahim, Department of Computing, Faculty of Art, Computing & Creative Industry, University Pendidikan Sultan Idris.

Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 02 June 2019 | PP: 162-165 | Volume-8 Issue-7S2 May 2019 | Retrieval Number: G10270587S219/19©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Due to the increasing number of vehicles accessing higher education campus nowadays, it is difficult to check the rule regulations, enforcement and security. Currently, the security checkpoint is still using the manual procedures to track vehicle driver’s entrance. At the same time, it is time-consuming for an officer to check the car sticker/plate every day physically. Also, it is not workable for a hire full-time security officer just to check on the sticker/car plate. As a solution, an artificial intelligence system to identify the car plate has been building up. By implementing this intelligence system, it’s capable of enhancing the management, security and controlling of vehicles accessing by using license plate recognition. If a vehicle approaches the entry gate, the recognition system will initialize and execute license plate numbers to the database system. During the exits through the departure gate, the same method repeated. The archives of vehicle entries and departures imposed for parking fee calculations and marketing statistics. Additionally, the list can be compared at any time with actual parked cars for security reasons.

Keywords: Artificial Intelligence, Management Data Base Security, Artificial License Plate Recognition.
Scope of the Article: Artificial Intelligence