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Implementation of Human Face Detection System for Door Security using Raspberry Pi
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Abstract: Nowadays the number of thefts and identity fraud has become a serious issue. In order to avoid these thefts and identity fraud, a face recognition system must be established. The scope of this project is to develop a security access control application based on face recognition. The haar-like features is used for face detection and HOG +SVM algorithm is used for face recognition. In order to achieve a higher accuracy and effectiveness we use OpenCV libraries and python computer language. Training and identification is done in embedded device known as Raspberry Pi.
Keywords: Face detection, Face recognition, raspberry pi, security.
Keywords: Face detection, Face recognition, raspberry pi, security.
How to Cite:
[1] Shrutika V. Deshmukh, Prof Dr. U. A. Kshirsagar, โImplementation of Human Face Detection System for Door Security using Raspberry Pi,โ International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2017.5434
