Detection of Signs of Ageing in Face and Demanding Situations to the Body and Skin Diseases after COVID -19 using Machine Learning-Reference-Cited by-同舟云学术

Detection of Signs of Ageing in Face and Demanding Situations to the Body and Skin Diseases after COVID -19 using Machine Learning

Published:2022-02-11 Issue: Volume: Page:197-201
ISSN:2394-4099
Container-title:International Journal of Scientific Research in Science, Engineering and Technology
language:en
Short-container-title:IJSRSET

Author:

Prof. Sonia Maria Dsouza ¹,Aman Ali Shaikh ¹,Farjad Ahmed Khan ¹,Faisal Iqbal ¹

Affiliation:

1. Department of Computer Science, HKBK College of Engineering, Bangalore, Karnataka, India

Abstract

The primary goal of this thesis is to simulate the causes of human face ageing and to detect skin illnesses. This project combines the capabilities of a Deep Learning model, notably EfficientDet, with the capabilities of a machine learning model and Advanced Computer Vision to identify and locate aging and skin disease. In an uploaded photo there are irregularities which can be detected. The appearance of age-related face changes is determined by a variety of factors. Wrinkles, dark patches, and swollen eyes are all variables to consider. The TensorFlow Objection Detection API is used to investigate the factors. TensorFlow Zoo's EfficientDet model is pre-trained. The proposed models are found to be effective based on the outcomes. Very effective in predicting the indications of ageing in people of all ages. Python was used to implement this project.

Publisher

Technoscience Academy

Subject

General Medicine

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