Facial Recognition System for Security Resolutions in Smart City
Manav Bansal and Dr. Deepak Sharma, Facial Recognition System For Security Resolutions In Smart City, International Journal of Advanced Research in Engineering and Technology (IJARET), 11(10), 2020, pp.146-151 http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=10
6 Pages Posted: 4 Feb 2021
Date Written: November 24, 2020
Smart city security is fundamental for a city to join the innovations into smart city digital foundation and to improve the states of life for its residents and talk about the security arrangements that should be executed to keep the smart city digital foundation secure. There has been a growing shift to IP based CCTV cameras that provide significant advantages such as scalability, remote monitoring over internet and easy sorting of digital video files. These IP-based solutions also support intelligent video analytics that augment the video surveillance systems with real-time detection and alerts for defined events. The expanding joining of Raspberry Pi board with IP based camera helps in revamping the essence of an individual for a superior outcomes and security reason. In our examination we distinguish the photos of the individuals and we watch the attitude of the individual in various components. Fundamentally, Raspberry Pi board form is a considered as one of the exceptionally entangled areas. For such areas we need to adjust the cycle of programmed or self-loader components with no client collaboration. The proposed task will show facial recognition system for security purposes in Smart City.
Keywords: Smart Cities, Raspberry Pi Board, IP Based CCTV Cameras
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