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Suspicious activity trigger system using YOLOv6 convolutional neural network
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Suspicious activity trigger system using YOLOv6 convolutional neural network

Property theft is one of the crimes that increases in which leads to a major concern in Malaysia. Despite of having surveillance cameras (CCTV) everywhere, the crimes keep occur due to the lack of security system. The security system can be developed by utilizing the existence of CCTVs specifically...

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Bibliographic Details
Main Authors: Suryanti, Awang, Mohd Qhairel, Rafiqi Rokei, Sulaiman, Junaida
Format: Conference or Workshop Item
Language:English
English
Published: 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/38780/
http://umpir.ump.edu.my/id/eprint/38780/1/Suspicious%20Activity%20Trigger%20System%20using%20YOLOv6%20Convolutional%20Neural%20Network.pdf
http://umpir.ump.edu.my/id/eprint/38780/2/Suspicious%20activity%20trigger%20system%20using%20YOLOv6%20convolutional%20neural%20network_ABS.pdf
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http://umpir.ump.edu.my/id/eprint/38780/
http://umpir.ump.edu.my/id/eprint/38780/1/Suspicious%20Activity%20Trigger%20System%20using%20YOLOv6%20Convolutional%20Neural%20Network.pdf
http://umpir.ump.edu.my/id/eprint/38780/2/Suspicious%20activity%20trigger%20system%20using%20YOLOv6%20convolutional%20neural%20network_ABS.pdf

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