Abstract
As field of technology grows, security issues have gained high concern nowadays. Unfortunately, a good access authentication is high in price which had become less affordable. To overcome this scenario, Intelligent Door Locking System is proposed. This system can be divided into 3 parts, which are mobile application, server with web application and microcontroller. The mobile application will be the one in charge of having face recognition process. The face recognition will be carried out using Eigenfaces Algorithm. Users can lock the door using “Normal Lock” mode or “Secure Lock” mode. To unlock the “Normal Lock” mode, user just need to press on unlock button, while to unlock “Se- cure Lock” mode, user would need to pass biometric authentication and passcode authentication process. Once user successfully identified by the mobile application, data will be sent to microcontroller via Bluetooth. At the same time, the microcontroller will retrieve data from server database and check whether the user is having access to enter the room. If yes, the microcontroller will unlock the door. While for the server, it can be easily managed by administration using web application. Users can check their door lock condition from far distance through web application as well. They can lock the door if they realize the door is not locked wherever they are. This bring convenience to the user.
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Acknowledgement
This research is funded under USM RU Grant (PKOMP/8014001) and partly under USM Short Term Grant (PKOMP/6315262) and affiliated with Robotics, Computer Vision & Image Processing (RCVIP) Research Group Lab at School of Computer Sciences, Universiti Sains Malaysia.
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Mohamed, A.S.A., Wahab, M.N.A., Krishnan, S.R., Arasu, D.B.L. (2019). Facial Recognition Adaptation as Biometric Authentication for Intelligent Door Locking System. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2019. Lecture Notes in Computer Science(), vol 11870. Springer, Cham. https://doi.org/10.1007/978-3-030-34032-2_24
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DOI: https://doi.org/10.1007/978-3-030-34032-2_24
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