Abstract
In the modern world security is one of the major issues. As technology is getting advanced many security issues are arising. The existed developed security methods have some flaws and they can be hacked. The proposed system for resolving the security issue is based on face detection and recognition using Internet of Things (IoT). The face of a person is captured by the camera and compared with the acquired database. The authorized user can also utilize mobile application to give access to the premises to any unregistered person. In the case of unauthorized/unknown access, the face image of the person will be captured and notified to the concerned authorities through an email. An Alarm will be generated in the case of unauthorized access. The proposed system produced accurate results in both cases: authorized and unauthorized access. The introduced system provides a low-cost solution for monitoring and controlling the houses, different organizations like banks, universities, etc.
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References
United Nations Office on Drugs and Crime (2017). https://dataunodc.un.org/crime/
Patel, K.K., Patel, S.M.: Internet of Things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. Int. J. Eng. Sci. Comput. 6(5), 1–2 (2016)
Chin, H.: Face recognition based automated student attendance system. Diss. UTAR (2018)
Senthilkumar, G., Gopalakrishnan, K., Kumar, V.S.: Embedded image capturing system using raspberry pi system. Int. J. Emerg. Trends Technol. Comput. Sci. 3(2), 213–215 (2014)
Sowmiya, U., Mansoor, J.S.: Raspberry pi based home door security through 3G dongle. Int. J. Eng. Res. Gener. Sci. 3, 138–144 (2015)
Karri, V., Lim, J.D.: Method and device to communicate via SMS after a security intrusion. In: 1st International Conference on Sensing Technology, vol. 1, pp. 664–668 (2005)
Bangali, J., Shaligram, A.: Design and implementation of security systems for smart home based on GSM technology. Int. J. Smart Home 7(6), 201–208 (2013)
Wati, D.A., Abadianto, D.: Design of face detection and recognition system for smart home security application. In: 2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), pp. 342–347. IEEE (2017)
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: International Conference on Computer Vision & Pattern Recognition (CVPR 2005), pp. 886–893. IEEE Computer Society (2005)
Kodali, R.K., Jain, V., Bose, S., Boppana, L.: IoT based smart security and home automation system. In: 2016 International Conference on Computing, Communication and Automation (ICCCA), pp. 1286–1289. IEEE (2016)
Ramanan, D., Zhu, X.: Face detection, pose estimation, and landmark localization in the wild. In: Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2879–2886 (2012)
Moghaddam, B., Pentland, A.P.: Face recognition using view-based and modular eigenspaces. In: Automatic Systems for the Identification and Inspection of Humans, vol. 2277, pp. 12–22 (1994)
Kartik, J.S., Kumar, K.R., Srimadhavan, V.S.: Security system with face recognition, SMS alert and embedded network video monitoring terminal. Int. J. Secur. Priv. Trust Manag. (IJSPTM) 2, 15–17 (2013)
Lwin, H.H., Khaing, A.S., Tun, H.M.: Automatic door access system using face recognition. Int. J. Sci. Technol. Res. 4(6), 210–221 (2016)
WILL BERGER (2018). http://www.willberger.org/cascade-haar-explained/
Open Source Computer Vision. https://docs.opencv.org/3.2.0/d7/d8b/tutorial_py_face_detection.html
Ubidots (2019). http://www.ubidots.com/education/
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Ghafoor, S., Khan, K.B., Tahir, M.R., Mustafa, M. (2020). Home Automation Security System Based on Face Detection and Recognition Using IoT. In: Bajwa, I., Sibalija, T., Jawawi, D. (eds) Intelligent Technologies and Applications. INTAP 2019. Communications in Computer and Information Science, vol 1198. Springer, Singapore. https://doi.org/10.1007/978-981-15-5232-8_7
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DOI: https://doi.org/10.1007/978-981-15-5232-8_7
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