Open AccessFast and Cost Efficient Face Detection System with CNN Using Raspberry PI
Author(s) -
Pravin Kumar S,
Bhuvaneswari Balachander
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f9034.088619
Subject(s) - computer science , convolutional neural network , raspberry pi , face detection , artificial intelligence , facial recognition system , face (sociological concept) , filter (signal processing) , gabor filter , computer vision , process (computing) , pattern recognition (psychology) , feature extraction , internet of things , embedded system , operating system , social science , sociology
Face detection is an important process when it comes to computer vision. It will serve as an input to a Facial expression and Face recognition system. Modern “C.C.T.V” cameras with face detection features are costly and only few are connected to the internet. This paper proposes a Face detection system which detects faces with a fusion of Convolutional neural network and Gabor Filter. Gabor filter is used to extract important facial features and Convolutional neural network is used to train the model. Model weights files are executed in Raspberry PI which is cost efficient. Raspberry pi is connected to cloud service which will alert the user with SMS and E-mail.