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Title: Locker system: development of intelligent surveillance using secure One Time Password and face recognition
Authors: B. Srikar, N. Anusha, A. Darshan Sai
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2017
Volume: 12
Issue: 17
Language: English
Present day locker systems are not highly secured. In order to overcome the various security issues proposed a locker system using latest technologies like IoT (Internet of Things) coupled with Facial recognition system and generation of OTP (One Time Password). IoT is one of the latest technologies where the various smart electronic devices are connected using the internet with the help of sensors, actuators in order to exchange information. Face recognition system is another application which ensures that only authentic user gets to access the locker by ensuring verification of facial features. To access the locker, the user has to type the locker PIN (Personal Identification Number). The camera module is initiated for the facial recognition after the verification of pin is validated. Using Viola Jones Algorithm an efficient face detection system is developed. Extractions of facial features are being carried out efficiently using GLCM (Grey Level Co-occurrence Matrix), HOG (Histogram of Oriented feature Gradient), and Gabor Filter techniques. After verifying the authentic user an OTP is sent to the registered mobile number. If any of the credentials do not match then the system will capture the intruder’s face and simultaneously an email and a SMS (Short Message Service) will be sent to the registered mobile number through which one can inform to the police.
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