International Journal of Computational and Electronics Aspects in Engineering

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Real-Time Smart Face Security Estimation


Affiliations
1 Department of Information Technology, Smt. Radhikatai Pandav College of Engineering, Nagpur, India
 

The intricacies of Sighthound's absolutely computerized age, gender, and emotion identity set of rules are defined. Our machine is constructed on numerous deep convolutional neural networks, which aren't simplest computationally green however additionally produce modern effects on quite a few aggressive benchmarks. We accumulated significant labelled datasets from all around the international to construct our progressive deep networks. We describe a methodology and an algorithm to estimate the real-time age, emotion, and gender of a human by investigating face images on a webcam. Here we discuss the CNN-based architecture to design a real-time model. Security system Emotion, age, and gender detection of facial images in webcams play an important role in many applications like security control forensics, data analysis, video observation, and human-computer interaction.
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  • Mohammed Kamel Benkaddour, Sara Lahlali, Maroua Trabelsi, “Human Age and Gender Classification using Convolutional Neural Network”, 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH), IEEE Xplore, 9-10 Feb. 2021.

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Abstract Views: 121

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  • Real-Time Smart Face Security Estimation

Abstract Views: 121  |  PDF Views: 100

Authors

Samyak S. Nagrare, Payal N. Kanchanwar, Prashant V. Patle, Varsha V. Ambule
Department of Information Technology, Smt. Radhikatai Pandav College of Engineering, Nagpur, India

Abstract


The intricacies of Sighthound's absolutely computerized age, gender, and emotion identity set of rules are defined. Our machine is constructed on numerous deep convolutional neural networks, which aren't simplest computationally green however additionally produce modern effects on quite a few aggressive benchmarks. We accumulated significant labelled datasets from all around the international to construct our progressive deep networks. We describe a methodology and an algorithm to estimate the real-time age, emotion, and gender of a human by investigating face images on a webcam. Here we discuss the CNN-based architecture to design a real-time model. Security system Emotion, age, and gender detection of facial images in webcams play an important role in many applications like security control forensics, data analysis, video observation, and human-computer interaction.

References