Mohd Ariffin, Mohammad Faezzie Ezzrie (2018) Facial Recognition Security System For Car Using Telegram Apps. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Text (24 Pages)
Facial Recognition Security System For Car Using Telegram Apps.pdf - Submitted Version Download (415kB) |
Abstract
This report presents the Face Recognition Security System For Car Using Telegram Apps as an added security system to the security systems already on the car. Additionally, this system can help reduce car thefts of each year. Among the main components used in developing this project are Raspberry Pi 2, Pi NoIR Camera, LCD module, WiFi adapter, speaker, LED, and button switch. Furthermore, the system uses the Eigenfaces algorithm as a face detection security system and allows it to compare images with pictures in a database that has been stored. For this project, users will be able to communicate with raspberry pi through the Telegram app. This app is used to praise the face recognition security system when an unauthorized user is detected. It will enable authorized users to have more control over the security system.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Human face recognition (Computer science), Biometric identification, Raspberry Pi (Computer) |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Library > Final Year Project > FTKEE |
Depositing User: | Mohd Hannif Jamaludin |
Date Deposited: | 03 Jan 2020 02:11 |
Last Modified: | 03 Jan 2020 02:11 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/24171 |
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