Abstract
The automatic, high end surveillance systems are of immense need in the wake of the emerging security problems faced in today’s world. Most of the high end systems use current trends in technology but often prove to be costly which make them un-affordable for the common people. Thus there is an urge to develop a fully functional, high end, continuous surveillance system which has an error free monitoring and also cost effective. Thus we have taken up the challenge of developing a low cost, real time face detection and face recognition system which can provide automatic, robust, unmanned Surveillance and Security at critical points. The system was successfully installed and the efficiency of the overall system was tested.
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Deepika, C.L., Alagappan, M., Kandaswamy, A., Wassim Ferose, H., Arun, R. (2011). Automatic, Robust Face Detection and Recognition System for Surveillance and Security Using LabVIEW (sCUBE). In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Digital Image Processing and Information Technology. DPPR 2011. Communications in Computer and Information Science, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24055-3_15
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DOI: https://doi.org/10.1007/978-3-642-24055-3_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24054-6
Online ISBN: 978-3-642-24055-3
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