Corresponding author: Case study: Security system for solar panel theft based on system integration of GPS tracking and face recognition using deep learning

Dwijayanti, Suci (2021) Corresponding author: Case study: Security system for solar panel theft based on system integration of GPS tracking and face recognition using deep learning. The Institution of Engineering and Technology.

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Abstract

Security system is important to protect the objects, including solar panel modules. In this study, an integrated system that combines image processing and object tracking is proposed as a security system of solar panel. Face recognition using deep learning is used to detect unknown face. Then, the stolen object can be tracked using Global Positioning System (GPS) that works using General Packet Radio Service and Global System for Mobile communication system. The results show that the integrated security system is able to find the suspect and track the stolen object. Using the combination of FaceNet and deep belief network, unknown face can be recognized with an accuracy of 94.4% and 87.5% for offline and online testing, respectively. Meanwhile, the GPS tracking system is able to track the coordinate data of the stolen object with an error of 2.5 m and the average sending time is 4.64 s. The duration of sending and receiving data is affected by the signal strength. The proposed method works well in real-time manner and they can be monitored through a website for both recorded unknown face and coordinate data location.

Item Type:	Other
Subjects:	#3 Repository of Lecturer Academic Credit Systems (TPAK) > Corresponding Author
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Ms Suci Dwijayanti
Date Deposited:	06 May 2023 01:41
Last Modified:	06 May 2023 01:41
URI:	http://repository.unsri.ac.id/id/eprint/99850

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