Real-Time Biometric System for Security and Surveillance Using Face Recognition

Arvind Jaiswal,Sandhya Tarar

Communications in Computer and Information ScienceAdvances in Computing and Data Sciences(2020)

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摘要
This paper-based on real-time security and surveillance because today public security problems raised widespread concern. So due to the security issue, it can use the different types of biometrics for security and surveillance and hence facial recognition has important applications in the field of biometric and numerous systems related to security and surveillance. Many methods familiarized in this field, but some problems remain not recognized because that system is only used as a biometric in small scales, but in this paper, we focus on the live security of all public and private places and multiples uses. For this real-time security used the IP CCTV cameras for surveillance purposes for this need the image as a sample of a person for model training and basic details of the person who lives inside the city. Whenever need surveillance for any suspicious person or place inside the city. Then we can find out his/her present location, and all incident is monitor by IP CCTV Cameras. This all incident update in the centralized system so that we can find the live location of the particular person anytime and anywhere within the city. This security system has many applications in real life like crime control, terrorist alert, smart society, airport security, university campus and surveillance of public places. In the future, all the data collected from “The Unique Identification Authority of India” (UIDAI).
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关键词
Local binary pattern histogram (LBPH),Haar-cascade detection,Computer vision,Image processing,Video surveillance,Smart security
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