Abstract
Smart home indicates an application for different technological implementations, it could indicate any system which controls the door lock and several other devices. Facial identification which is an important section to achieve surveillance and safety, especially for handicapped people, can be considered as one of the ways that deal with biometrics and performed to identify facial images via utilizing fundamental features of the face. A Raspberry Pi-based face recognition system using conventional face detection and recognition techniques is going to be supplied, so the method in which image-built biometrics uses a Raspberry Pi is described. The aim of the paper here can be considered as transferring face recognition to a level in which the system can replace the utilizing of RF I-Cards and a password to access any system of security and making the system alive and protect the door from being open by hackers, especially by using the picture of an authorized person, we make the raspberry pi turn off and cannot turn on only by a command from the authorized person's mobile. The result of the presented proposal is a system that uses face recognition by utilizing OpenCV, Raspberry Pi, and it functions on an application of Android, and this system percentage becomes 99.63%. It should be cost-effective, of high performance, secured, and easy to use, which can be used in any smart home application.
Highlights
It is very beneficial for a large rate of people such as handicaps and aged ones to get domestic appliances in hand by utilizing the smart type of technological techniques
The suggested system designed for the paper here can be for building a real-time face recognition system which could be beneficial for the handicapped concerning door locks via utilizing software and hardware, the percentage of the system is 99.63 percent if faces are detected correctly. it ought to be worth paying for as well as its efficiency, easiness, and safety, which could be utilized for any application that deals with smart homes
Via utilizing the operation of classifier cascade, the fastness and accurateness of the system of face detection can increase just like Figure 2, which illustrates the classifier of open CV
Summary
It is very beneficial for a large rate of people such as handicaps and aged ones to get domestic appliances in hand by utilizing the smart type of technological techniques. A large number of those appliances have not been made for those who have some physical disorders. Observing as well as dominating some missions at home could give the best state of safeness [2]. Open CV 'open-source PC vision library' can be expressed as an open library of source picture preparing kind. The Camera Module can be considered as a little PCB that supplies connection for a camera that is connected via cable for shooting fixed pictures or videos and it gives voice commands, which is suitable for real-time [4], applications of smart home [5]
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