FACIAL RECOGNITION AT GATED COMMUNITY
Facial recognition nowadays has been a popular choice in biometric authentication where it makes use of machine learning to perform its task of recognizing faces whether it be in a public or private property. Machine learning in the facial detection context can be trained to recognize faces by using...
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| Format: | Final Year Project |
| Language: | English |
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2021
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| Online Access: | http://utpedia.utp.edu.my/id/eprint/24099/1/FACIAL%20RECOGNITION%20AT%20GATED%20COMMUNITY.pdf http://utpedia.utp.edu.my/id/eprint/24099/ |
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oai:utpedia.utp.edu.my:240992023-03-15T06:37:15Z http://utpedia.utp.edu.my/id/eprint/24099/ FACIAL RECOGNITION AT GATED COMMUNITY Mirza Kelana, Muhammad Hilmi T Technology (General) Facial recognition nowadays has been a popular choice in biometric authentication where it makes use of machine learning to perform its task of recognizing faces whether it be in a public or private property. Machine learning in the facial detection context can be trained to recognize faces by using an algorithm for it to perform its task such as training and testing process for accuracy of face recognition. YOLO algorithm has been proven to be popular in object detection with its capability of real-time detecting multiple objects in a fast and accurate manner. 2021-07 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/24099/1/FACIAL%20RECOGNITION%20AT%20GATED%20COMMUNITY.pdf Mirza Kelana, Muhammad Hilmi (2021) FACIAL RECOGNITION AT GATED COMMUNITY. [Final Year Project] (Submitted) |
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Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
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| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
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http://utpedia.utp.edu.my/ |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Mirza Kelana, Muhammad Hilmi FACIAL RECOGNITION AT GATED COMMUNITY |
| description |
Facial recognition nowadays has been a popular choice in biometric authentication where it makes use of machine learning to perform its task of recognizing faces whether it be in a public or private property. Machine learning in the facial detection context can be trained to recognize faces by using an algorithm for it to perform its task such as training and testing process for accuracy of face recognition. YOLO algorithm has been proven to be popular in object detection with its capability of real-time detecting multiple objects in a fast and accurate manner. |
| format |
Final Year Project |
| author |
Mirza Kelana, Muhammad Hilmi |
| author_facet |
Mirza Kelana, Muhammad Hilmi |
| author_sort |
Mirza Kelana, Muhammad Hilmi |
| title |
FACIAL RECOGNITION AT GATED COMMUNITY |
| title_short |
FACIAL RECOGNITION AT GATED COMMUNITY |
| title_full |
FACIAL RECOGNITION AT GATED COMMUNITY |
| title_fullStr |
FACIAL RECOGNITION AT GATED COMMUNITY |
| title_full_unstemmed |
FACIAL RECOGNITION AT GATED COMMUNITY |
| title_sort |
facial recognition at gated community |
| publishDate |
2021 |
| url |
http://utpedia.utp.edu.my/id/eprint/24099/1/FACIAL%20RECOGNITION%20AT%20GATED%20COMMUNITY.pdf http://utpedia.utp.edu.my/id/eprint/24099/ |
| _version_ |
1761620917574696960 |
| score |
13.214268 |