CAR PARKING SYSTEM USING FACE AND CAR PLATE RECOGNITION FOCUSING ON GATED RESIDENTIAL AREAS

Foo, Voon Yoong (2020) CAR PARKING SYSTEM USING FACE AND CAR PLATE RECOGNITION FOCUSING ON GATED RESIDENTIAL AREAS. [Final Year Project Report] (Unpublished)

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Abstract

According to Bukit Aman CID D4 (operation/intelligence) principal assistant director (2019), stolen vehicles reported in 2018 has dropped 14.7% compared to 2017. The propose of the vehicle security system is to ensure the safety of the vehicles by avoiding the means of theft. As to further enhance the vehicle access control system in the gated residential area, Car Parking System Using Face and Car Plate Recognition with IoT Technology is proposed. The IoT platform for this system is Raspberry Pi. Moreover, the use of the Raspberry Pi camera is used to capture car plate image and driver image. The proximity sensor is used as a sensor to detect the presence of a vehicle at the entrance and exit of the residential area. This proposed system is a combinate recognition system (Facial Recognition and License Plate Recognition) and can recognize the drivers' face and car plate number with data registered in the database. It was able to increase the security of the residential area by preventing someone stolen other cars from parking and reducing the probability of access card loss

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020.
Uncontrolled Keywords: Car Parking System, Car Plate Recognition, IoT Technology, Raspberry Pi, Bukit Aman CID D4 (operation/intelligence).
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 26 Jan 2021 08:10
Last Modified: 26 Jan 2021 08:10
URI: http://ir.unimas.my/id/eprint/34056

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