RECOGNITION OF THE DISABLED, ELDER AND GAZIS IN DEEP CNN/YOLO NETWORK AND RESEARCH IN ORGANIZATION OF SOCIAL-PUBLIC SERVICE

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RECOGNITION OF THE DISABLED, ELDER AND GAZIS IN DEEP CNN/YOLO NETWORK AND RESEARCH IN ORGANIZATION OF SOCIAL-PUBLIC SERVICE

Journal Title: Scientific Work - Year 2023, Vol 17, Issue 11

Abstract

Abstract Many problems that exist today are of social importance. One of them is a special part of our society - members of the physically disabled and elderly class. The more we pay attention to them, the more we will rise as a society and the prosperity will increase. We can make the lives of those people easier by realizing that we will have to organize a separate service for these issues in the near future, where there will be no areas where technology will not infuse. We know that public and social areas are monitored through IP cameras already available in many places. Taking advantage of this opportunity, these special people can be presented special treatment in public transport, crossing, public areas, catering facilities, etc.

Authors and Affiliations

Shahriyar Guliyev,

Keywords

Keywords: artificial intelligence machine learning artificial neural networks deep learning computer vision object recognition object detection classification localization segmentation Deep CNN YOLO network physically limited elderly people qazi detection

EP ID EP749887
DOI 10.36719/2663-4619/96/127-138
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