Face Detection System for Smart Security Application Bindhu Sri Vendra a , Prudhvi Raju Dasari b , K. Vydehi c , B.S.Kiruthika Devi d,1 a,b U.G Student, Department of CSE, Aditya Engineering College (A), Surampalem, A.P, India c Assistant Professor, Department of CSE, Aditya Engineering College (A), Surampalem, A.P, India d Research Mentor, CL Educate Ltd., New Delhi, India Abstract. Face detection and recognition can be applied to numerous fields, and it is primarily used for improving security. For security purposes, facial recognition is considered to be the most reliable and accurate technology for identifying a person. Improvements in security systems can be made through this technology without causing any inconvenience. This article discusses several systems, such as smart home security systems, autonomous face detection systems, automotive security- based systems, face detection for surveillance applications, and multi-face recognition systems. Various detection mechanisms include such as Local Binary Pattern Histogram (LBPH), Support Vector Machine (SVM), AdaBoost learning algorithm, Haar Classifier Algorithm, and Principal component Analysis (PCA). A detailed study is carried out with these advanced techniques and their advantages, disadvantages and accuracies are compared and contrasted. According to the investigations, the Haar classifier appears to be superior to other techniques due to its accuracy and features. Keywords. Face detection, face recognition, security, haar classifier cascade algorithm 1. Introduction Facial recognition can be used to produce security systems for our homes, which would be quite convenient. When it is installed in our house, we can store our family face prints in that particular database, and when we try to unlock the door, it first scans the face, then converts that digital image into a face print and tries to match it with the face prints available in its database [1-4]. If it finds the match, then it will either open the door or else it will send an alert to the family members through registered phone numbers. Face detection can also be used to find criminals or missing persons. When the image of that particular person is given to the software, it tries to scan every person through CCTV and tries to match that face to the given face print. If a match is found, it sends the message to the police department [5-9]. __________________________ 1 Corresponding Author, B.S.Kiruthika Devi, Research Mentor, CL Educate Ltd., New Delhi, India; E-mail: kiruthika.devi@accendere.co.in Recent Developments in Electronics and Communication Systems KVS Ramachandra Murthy et al. (Eds.) © 2023 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/ATDE221327 651