Design of Smartdoor for Live Face Detection Based on Image Processing Using Physiological Motion Detection
In the current era, technology is developing very rapidly, especially in the field of image processing, technological developments can help and facilitate human work. The purpose of image processing is to learn how to process images to detect objects. This project has the aim of implementing real fa...
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Published in | 2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE) pp. 1 - 6 |
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Main Authors | , , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
22.12.2022
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Subjects | |
Online Access | Get full text |
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Summary: | In the current era, technology is developing very rapidly, especially in the field of image processing, technological developments can help and facilitate human work. The purpose of image processing is to learn how to process images to detect objects. This project has the aim of implementing real face detection based on image processing in the smart door design. The physiological motion detection system can recognize the difference between real faces and photo imitations based on facial reflexes in the eyes and mouth. The methods used for face detection are Histogram Oriented Gradient and Haar-Cascade, motion detection of facial reflexes using the Support Vector Machine. The result of this project concludes that the smart door system with physiological motion detection that has been designed successfully performs real face detection, the average accuracy rate is 93.5% and photo imitation faces have an average of 90.7% based on eye reflex motion detection. and mouth. |
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DOI: | 10.1109/ISMODE56940.2022.10180411 |