Smart Locking and Surveillance System
S. Prasanna Bharathi1, G. Chamundeeswari2, S. Srinivasan3
1S. Prasanna Bharathi, Assistant Professor, Department of ECE, SRM IST, Vadapalani Campus, Chennai (Tamil Nadu), India.
2G. Chamundeeswari, Assistant Professor, Department of ECE, SRM IST, Vadapalani Campus, Chennai (Tamil Nadu), India.
3Dr. S. Srinivasan, Professor & Head, Department of BME, Saveetha School of Engineering, SIMATS, Chennai (Tamil Nadu), India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 29 June 2019 | Manuscript Published on 04 July 2019 | PP: 425-428 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10770681S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The paper aims to detect the motion and to simplify the process of motion detection and to send prompt notifications to the user when the motion is detected. The locker gets the control through various sensors connected to it. The locker has three steps of authentication to prevent unauthorized entry. First the person’s fingerprint is scanned which is followed by the facial feature recognition. If anyone tries to access the locker, camera will capture the image, process it and send a mail to the particular person along with an One Time Password (OTP). It is only on typing the OTP by the person, will the locker open. When an unknown / unauthorized person enters the locker area, the sensor detects and captures the image and mails it to the authority as well as producing electric shock outside the locker for further security. The concept of Smart Lock is to automate the process of person identification.
Keywords: IoT, Motion Detection, Image Processing, Raspberry Pi2.
Scope of the Article: Smart Solutions – Wearable Sensors and Smart Glasses