Face Recognition Technology based Smart Doorbell System using Python’s OpenCV library Shweta Malve Department of Electronics & Telecommunication KKWIEER Nashik Maharashtra, India Dr. S. S. Morade Department of Electronics & Telecommunication KKWIEER Nashik Maharashtra, India Abstract— In recent years, face recognition technology has proved to be the most popular method of contactless biometric system, outstanding the ones based on iris, voice and gait recognition. Moreover, computers can now outperform humans in terms of many face recognition tasks particularly when it comes to searching of faces in larger databases, capturing and storing minute facial details in as minimal format as possible. A system with the ability to detect and recognize faces has many potential outcomes not just in crowded places but in home security systems as well. One such application of automating the household doorbell can not only solve the security issues but also offer extra flexibility to smart house control by recognizing the person at doorstep and announcing the name. We propose a system by making use of Raspberry-Pi with ARMv8 Cortex-A53 as the core. The project aims at porting the Open Source Computer Vision (OpenCV) library to the Raspberry-Pi board and using its pre-trained classifier Haar-Cascade and recognizer Local Binary Pattern Histogram (LBPH) for face detection and recognition purpose. Furthermore, using the Raspberry-pi accelerated command line media player, name of the person will be announced and faces unknown to the database will be captured and stored. This low-cost and low-power system will indeed prove a boon for persons with disabilities. Keywords— Face recognition, biometric, raspberry-pi, OpenCV, classifiers, e-speak synthesizer I. INTRODUCTION Biometric systems brought in an added layer to security to networks, applications, personal computers and physical facilities wherein the binary code of physical or biological characteristic of a person’s identity is compared to the binary code electronically stored in the system. Fingerprint, palm print, hand geometry and signature fall into the category of contact based biometric systems. Face, iris, voice and gait fall into those of contactless biometric systems. Today, the mostly widely used biometric system is that of fingerprint where people just punch in their thumbs and the authentication is done. Signature biometric is highly used in government organizations. But, the problem encountered in these systems are that of change in hand geometry. Our hands have ridges, valleys, contours, principal lines and wrinkles which keep on changing to some extent during a lifetime. Also, environmental factors like dry weather, muddy or smudged hands, soaky hands can cause a great problem in authentication. So, people slowly started switching to contactless biometric systems wherein no physical contact with the system is made. Iris, voice and gait recognition have got their own pros and cons. But, in this paper we choose to go for the most researched domain face recognition. Face recognition domain has swiftly made an entry into the real world and has proved to be the most successful and bang on technology which is no more just in the world of science fiction. People can actually use it as a surveillance system, criminal identification, identity verification access or attendance system, home automation and much more. From 2D algorithms like PCA, Eigen faces, Fisherfaces, LDA, IDA to SVM, CNN and now deep learning, ML and artificial intelligence, face recognition technology has evolved immensely. A very big thanks to the upcoming and well- developed technologies related to computer science where we can obtain considerable features for identification purpose. In this paper, face recognition process is initiated by pressing the doorbell. This will turn on the integrated camera and capture images. The image captured will be compared with the one stored in the backend database. On matching, the name of the person at the doorstep will be announced. In case, the face is not present in the database, it will be stored newly. Comparing to the old traditional doorbell, this improvised one notifies us with the person at the door. This will be helpful for persons with disabilities particularly the blind people. The system design is discussed in Section 3 of the paper. Section 4 and 5 are dedicated for corresponding implementation architecture and experimental results. II. NEED OF THE SYSTEM Flawless identification of individuals is a very a basic societal requirement. Just a few decades ago when technology was not at its peak, people in small tribes and villages knew everyone and recognized everyone else, just because there were manual face-to-face interactions between them. One could easily detect a stranger or identify a potential breach of security. In today’s larger world where the society norms are getting more rigid, it isn’t that easy. In today’s age where interactions take place electronically, security becomes a crucial factor where a person’s individual identity is something which cannot be compromised. Until now, magnetic swiping cards or passwords were used. But lately, these aren’t considered to be secure as they can be lost or easily misused by some other person. So, the solution to this was Biometric systems. In surveillance and monitoring systems, say a public place, people cannot be asked to punch in their thumbs or cards always. So, something that won’t require physical touch and easy to recognize an individual same up, which is nothing but the face recognition technology. In this paper we are trying to build a system for the disabled persons. The main aim of the system is to: 1. Notify the person in house about the visitor at the doorstep by giving a sound notification. International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 http://www.ijert.org IJERTV10IS060101 (This work is licensed under a Creative Commons Attribution 4.0 International License.) Published by : www.ijert.org Vol. 10 Issue 06, June-2021 227