Open AccessDeep Neural Network for Better Face Processing
Author(s) -
P. Anjaneyulu,
S. V. S. Prasad,
V. Syambabu,
Ashok Kumar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6238.118419
Subject(s) - computer science , artificial intelligence , deep learning , artificial neural network , face (sociological concept) , biometrics , focus (optics) , frame (networking) , haar like features , computer vision , facial recognition system , face detection , deep neural networks , pattern recognition (psychology) , telecommunications , social science , physics , sociology , optics
This Paper represents the face detection using advanced method deep neural network which uses deep learning frame work. The old models used to detect the faces were like Haar-cascade method which detect the faces with good approaches but there is some uncertainty in the accuracy of the old models, so in this system we will use the latest deep neural network model which is embedded with latest open cv and by using the deep learning model frame work which is weighted with some other files. By using this model, we can achieve the better accuracy in face detection which can be used for further purposes like auto focus in cameras, counting number of people etc. This model detects the faces accurately and paves the way for better recognition systems which can be used in many face biometric applications. For this purpose, low-cost computer board Raspberry Pi and Camera Sensor will be used.