FaceLock: fechadura inteligente com reconhecimento facial

Abstract

The Internet of Things (IoT) is an area of knowledge that has had an impact on technology exponentially in recent years around the world, we can realize with many devices electronics, which today are connected to the Wireless Fidelity network (Wi-Fi) and can interact with each other. As in a SmartHouse, in which there are devices automated and controlled that can communicate with each other, such as, for example, smart locks, which make it possible to lock and unlock a door or another appliance through remote access, such as mobile applications, the Web or other technologies IoT. In search of greater security in everyday life, locks are used as a means of prevent sensitive situations in which unauthorized persons can join private property. Conventional locks fail because they do not recognize users trying to access, since in many cases there is no recognition system. So authenticity to the process of identifying individuals is a relevant factor in security and provides a large scale of applications, as it manages to establish user identifications. Facial recognition makes authorized people exercise device control with secure access. By adhering to smart locks, it is possible to help people with disabilities in upper or lower limbs when locking and unlocking a door, such as, for example, a deficient in the upper limbs, he would be able to open his door with only the recognition facial, making it practical and efficient. In addition, some people with reduced mobility have great difficulty in accessing doors that are far away, making it difficult to unlock or door locks, for example, if you have stairs in your home, having to go down to be able to just unlocking a door is something that can be avoided. This work proposes a solution for App-based and Face-Recognition-enabled smartlocks, based on Apllication Programming Interface (API). The procedure is made in a Web application developed in Ruby on Rails (RoR), a embedded system controlled by an Esp32CAM microcontroller, for communication between the devices, the security middleware called FIWARE is used. This complete system is called FaceLock, the results obtained by the proposed system have potential for use practical and proposes a solution for people to have greater flexibility in controlling of smartlocks, especially the disabled.