Room Security System with Face Recognition using Local Binary Pattern Histogram Algorithm based on the Internet of Things
Publish place: majlesi Journal of Electrical Engineering، Vol: 17، Issue: 2
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_MJEE-17-2_017
تاریخ نمایه سازی: 15 مرداد 1402
Abstract:
An Internet of Things-based security system and OpenCV technology have been developed to improve the efficiency and ease of monitoring video footage from CCTV. The face detection process is carried out using the Haar Cascade method, while facial recognition is carried out using the Local Binary Pattern Histogram algorithm. The test results show that light intensity has a significant influence on system accuracy, but this system provides convenience in monitoring CCTV video in real-time through a webserver and improves security, especially in rooms by utilizing Internet of Things technology. The current facial recognition success rate is ۷۲%. Therefore, for the subsequent development of the system, it is recommended to increase the success rate of facial recognition and also implement the File Transfer Protocol to ensure better and better system performance.
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Authors
Turkhamun Adi Kurniawan
Faculty of Engineering, Satya Negara Indonesia University, Jakarta, Indonesia
Istiqomah Sumadikarta
Faculty of Engineering, Satya Negara Indonesia University, Jakarta, Indonesia
Sukarno Bahat Nauli
Faculty of Engineering, Satya Negara Indonesia University, Jakarta, Indonesia
Faizal Zuli
Faculty of Engineering, Satya Negara Indonesia University, Jakarta, Indonesia
Teguh Budi Santoso
Faculty of Engineering, Satya Negara Indonesia University, Jakarta, Indonesia
Muhammad Roufiqi Desma
Faculty of Engineering, Satya Negara Indonesia University, Jakarta, Indonesia
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