학술논문

Artificial Intelligence and Machine Learning Based Human Age Detection from Face Image

Document Type

Conference

Author

Garg, Ashish; Venkat, S.; Shanmugaraj, M; Aggarwal, Deepti; Karthikeyan, T.; Chamundeeswari, Vijaya

Source

2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2023 International Conference on. :1-5 Dec, 2023

Subject

Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Signal Processing and Analysis
Machine learning algorithms
Machine learning
Classification algorithms
Convolutional neural networks
Faces
Image classification
Machine Learning (ML)
Artificial Intelligence (AI)
Secondary Data
Qualitative Analysis
Pyramidal Convolutional Neural Network
Convolutional Neural Network
OpenCV
YOLO

Language

Abstract

This research focused on a qualitative approach while evaluating data collected from several secondary sources. This approach has helped to provide a clear understanding of the direction of this research from identification of research aspects to evaluation of gathered data. This research has found that "Pyramidal CNN" can provide better image classification capabilities when it comes to facial images. The research has also found that "OpenCV" can be beneficial in designing the algorithm for age detection from facial images.

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