Privacy-Aware Facial Recognition from Obfuscated Images

Dr.Jumlesha Shaik
Professor Department of AIDS Annamacharya Institute of Technology and Sciences Tirupati-517520
ahmedsadhiq@gmail.com
M Chetan , K Kusuma Kumari ,C Lokeswari , S Jyoshna
UG Scholar Dept of Artifcial Intelligence and Data Science Annamacharya institute of technology and
sciences Tirupati,India
chittamurilokeswarireddy@gmail.com ,jyoshnarayal71@gmail.com manechetan2005@gmail.com
rkrishna45730@gmail.com

Abstract— In the project, it is proposed to design a system for the purpose of Face Detection and Blurring using a web-based system. The primary objective of the project is to enhance the privacy protection mechanisms that are being used for the processing of the images. The proposed project is designed in a way that the user can upload the reference image and the target image and compare the features of the image on the basis of the embedding approach. The proposed project is designed in a way that the blurring of the face of the person can be done. The potential of the project is presented as the project can be a real-life application for the blurring of the faces of the people. The potential of the project is presented as theproject can improve the potential of the AI and the potential  of the web development. Keywords-----Face Detection, Face Blurring, Privacy Protection, Computer Vision, OpenCV, Face Recognition, Django Web Application, Image Processing, FacialEmbeddings, Identity Anonymization.