Published Paper Details:

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. Smart Doorbell systems are analyzed to break up modern doorbells into generations, of which the Amazon Ring series shines for those who are open to Amazon infrastructure, and the Eufy Video Doorbell remains viable for those who prefer their data to be more local. 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.