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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Bibliographic Details
Published in2022 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE) pp. 1 - 6
Main Authors Perdana, Rizky Naufal, Irawan, Budhi, Setianingsih, Casi, Wulandari, Dian Rezky, Pamungkas, Ivan Satrio, Nurfauzan, Fajri, Sakinah, Adinda Ophelia Putri, Ramadhan, Muhammad Raihan
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.12.2022
Subjects
face detection
Face recognition
image processing
Image recognition
Machine learning
Motion detection
Mouth
raspberry pi
Seminars
Support vector machines
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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.
DOI:10.1109/ISMODE56940.2022.10180411