Intelligent Face Recognition Based on Regularized Robust Coding with Deep Learning Process

2021 ◽  
pp. 47-72
Author(s):  
Sandhya Swaminathan ◽  
Anitha Perla
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Learning Process ◽  
Robust Coding

scholarly journals Automated Face Authentication and Alert System Using AI

2021 ◽  
Vol 36 (1) ◽  
pp. 181-186
Author(s):  
Dr.M. Samabth ◽  
Gopinath Lella ◽  
K. Arulalan ◽  
M. Rathinavel ◽  
Dr.D. John Aravindhar ◽  
...  
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Learning Process ◽  
Agricultural Fields ◽  
Crop Loss ◽  
Wild Animals ◽  
Alert System ◽  
Face Authentication ◽  
Animal Detection

Local animals such as buffaloes, elephants, goats, birds, and others frequently kill farm crops. Farmers lose a lot of money as a result. Farmers cannot barricade whole fields or remain on the premises 24 hours a day to guard them. For animal detection and unknown individual detection, we propose a deep learning process. We will create a system to detect wild animals trespassing on agricultural fields as part of this project. We'll be working on a device to identify wild animals trespassing on farmland as part of this project. Animal detection and classification may help farmers avoid damage to their fields, track down livestock, and avoid crop loss. To recognize unknown persons or animal, we'll use face recognition tools.

Real Time Gender and Age Prediction using Deep Learning Techniques

2020 ◽  
Vol 9 (6) ◽  
pp. 797-801
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Real Time ◽  
Vital Role ◽  
Learning Techniques ◽  
Gender And Age ◽  
The Face ◽  
And Gender ◽  
Gender Detection ◽  
Age Prediction

Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.

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