Smart security system for sensitive area using face recognition

Autor:	Muhammad Zaka Ur Rehman, Arslan Ahmad, Danish Ali Chowdhry, Aqeel Hussain, Farhan Ahmad, Mahmood Pervaiz
Rok vydání:	2013
Předmět:	Authentication Engineering Biometrics business.industry 3D single-object recognition Computer security computer.software_genre Facial recognition system Object detection Identification (information) Object-class detection Face detection business computer
Zdroj:	2013 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (CSUDET).
DOI:	10.1109/csudet.2013.6670976
Popis:	Face recognition play a vital role in variety of applications from biometrics, surveillance, security, identification to the authentication. In this paper we design and implement a smart security system for restricted area where access is limited to people whose faces are available in the training database. First we are going to detect the face by detecting the human motion. Then face recognition is performed to determine the authority of the person to enter the sensitive area. At the same time, we track the coordinate of detected motion. Failing to recognize the face finally passes the estimated coordinate to anesthetic gun for targeting the intruder automatically. Experimental results demonstrate the effectiveness of proposed security system in order to restrict the unauthorized access and enhanced reliability by use of face recognition.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cb3ebdf021ca2843fc8505c8ffb943e8 https://doi.org/10.1109/csudet.2013.6670976 Zobrazit plný text záznamu