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.

Chapter Contents:

• 21.1 Introduction
• 21.2 Method
• 21.2.1 Face recognition using deep learning
• 21.2.2 GPS tracking
• 21.3 Results and discussion
• 21.3.1 Deep learning model for face recognition system
• 21.3.2 Offline test
• 21.3.3 Online test
• 21.3.4 GPS tracking test
• 21.3.5 GPS tracking: communication system
• 21.3.6 GPS tracking: real-time system test
• 21.4 Conclusion
• References

Inspec keywords: object detection; cellular radio; packet radio networks; learning (artificial intelligence); Global Positioning System; solar cell arrays; electronic engineering computing; security; face recognition; belief networks; object tracking

Other keywords: Website; stolen object tracking; integrated security system; global system for mobile communication system; deep learning; offline testing; face recognition; GPS tracking system; system integration; Global Positioning System; solar panel modules; general packet radio service; coordinate data location; solar panel theft; online testing; FaceNet; unknown face detection; image processing; signal strength; deep belief network

Subjects: Radionavigation and direction finding; Photoelectric conversion; solar cells and arrays; Electronic engineering computing; Computer vision and image processing techniques; Image recognition; Solar cells and arrays; Mobile radio systems; Knowledge engineering techniques