Smart Door controller for handicapped people based on face recognition and voice command technique

Abstract

There are a few houses that indicate an application for various implementations, they can indicate all types of systems that direct any door lock as well as many other apparatuses. Facial identification that can be considered as a significant section for safety and monitoring, specifically for the handicapped, has the ability to be a way which treats with biometrics and employed for identifying any facial image by employing basic face characteristics. A system of face recognition based on Raspberry Pi utilizing recognition mechanisms as well as conventional face detection will be provided. Thus, the approach that image-built biometrics utilizes a Raspberry Pi has been depicted. The goal here could be to transfer face recognition towards a level where the system has the ability to change RF I-Cards’ use and a password for getting access into all security systems, and reviving the system as well as keeping the door safe hacking people, specifically via utilizing an authorized person’s photo, we turn raspberry pi off and do not turn it on just by an order from cell phone of the authorized person. The presented proposal’s outcome can be a system which utilizes face recognition via employing Raspberry Pi and OpenCV, and it works on Android, and its percentage can be 99.63%. It ought to be secured cost-effective, easy to use and of high performance, that is employed in all applications of smart homes