Facial recognition enabled smart door unlock system

Abstract

To verify that our daily life is going in a secure way. Lot of research programmers are going on in this entire society. The turning point comes through the internet of things, industry has been emerged with the lots of elements provided from IOT. We can able to connect our daily life things or objects with this had successfully evolved lots of things. This Facial recognition door unlock system is a process is which will detect the face and identifies the among people. People are having different types of face cut, in that particularly there are many unique faces which are different from each other which inspired us, from that concept this process has been established. Our main aim to create the smart door system to a house, that will secure the house and all your personal things at your home. In this concept of our system we have been used alive web camera in the front side of the door, along with the display monitor. this web camera shows the owner/particular viewer the whom the house is his control, this shows the person who stood front of the door, the system is setup the voice output is being processed by the processor that which is used to show the answers/instructions as the output on the screen. We are using a stepper motor that which is used to lock/open then the by sliding method, so that a normal person stand in front of the door and access it. This process is done through this Microsoft face API application. The display is being operated on a Microsoft Visual Studio application.

Facet tracking based driver fatigue monitoring and warning system

“…Simultaneously microcontroller reads the data from alcohol sensor and seat belt sensor. [10], [11], [12], [13] [14], [15] If the seat belt is not wearing, the microcontroller reads an active low signal. Then MCU gives active low signal to motor to get OFF the engine and buzzer get active low signal which activates buzzer to give alarm.…”

Automated Door Accessing System with Face Recognition and NFC

“…Face recognition is one of many security methods that exciting and vital field of research nowadays [1]. It is due to the need of the match database, the design of the human-computer interface and the interest in the human visual system on face recognition.…”

“…This method has four steps for detecting an object such as Haar-like feature, integral image, and Cascade Classifier [6,7]. Face recognition using Haar Cascade involves in many different fields such as neuroscience, psychology, computer vision, pattern recognition, image processing, and machine learning [1]. Thus, it makes the face recognition system become one of the essential fields nowadays and can be implemented for much other application [2,3].…”