Design and Analysis of IOT Based Real Time System for Door Locking/Unlocking using Face Identification
Ajitesh Kumar1, Mona Kumari2
1Ajitesh Kumar, GLA University, 17Km. Stone, NH-2, Mathura-Delhi Road, Mathura – 281406 (U.P.) India.
2Mona Kumari, GLA University, 17Km. Stone, NH-2, Mathura-Delhi Road, Mathura – 281 406 (U.P.) India. 

Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 2093-2095 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5794018520/2020©BEIESP | DOI: 10.35940/ijrte.E5794.018520

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Abstract: In this era we are facing security issues in every aspect. So for resolving this issue we are proposes a real time application controlled door locking/unlocking mechanism which harnesses the power of IOT and machine learning for smooth functionality. The door unlocking system proposed here uses a Raspberry Pi 3 model B for computation along with a Pi Camera to take face as an input of the user. Also in order to make door unlocking fail proof, fingerprint sensor is used. Scenarios like bad lighting and camera failure can be easily dealt using this sensor. The face detection and recognition system used for door opening will be able to learn user’s faces from time to time and update its dataset. So any subtle changes in the face of user like addition of spectacles or removal of beard can be easily dealt with.
Keywords: Raspberry Pi 3, Pi Camera, Machine Learning, IOT, Fingerprint Sensor, Cascade Classifiers.
Scope of the Article: Machine Learning.