Diseño y construcción de un prototipo de sistema embebido de seguridad, supervisado mediante una red social, para el Centro Psicológico Infantil - Psicovid.

Abstract

The objective of the curricular integration research project was to design and build a prototype of an embedded security system for the Psicovid Children's Psychological Center, which is monitored and controlled through the use of the Telegram App. The prototype modular design is scalable; it has a built-in security system with two different functions: an alarm system that complies with the Ecuadorian Standard INEN-IEC 62851-1 and an access control system that uses near field communication (NFC) and a mobile application developed in Android Studio for its administration. The prototype comprises three modules; the first two modules are implemented on ESP8266 development boards: the data acquisition module, the control-actuator module, and the module of management, control, and information display. Through the tests carried out, the integrity of the information and the communication distances were verified; this last value delivered maximum distances of 35m with Line-Of-Sight and 19m with interference, time delays between 2 and 3 seconds were measured, the validation of the sensor were performed by calculating the maximum relative error, obtaining the following values: Er=7.14% for the magnetic sensors and Er=5.56% for the motion sensors, getting an acceptable experimental result for both cases. For the vibration sensors, NFC module readings, and the activation of the magnetic lock, repeatability tests were carried out, obtaining a coefficient of variation of 10%, 0%, and 0%, respectively, representing an acceptable job, Showing an energy consumption of 504.3 mA for an active state and 264.9 mA for an inactive state. The prototype can be used as a security tool for different establishments, being reliable, quality, low energy consumption system, and 23.56% cheaper than commercial devices. It is recommended to use an SW-420 circuit board to control the vibration sensor which it can work together with an artificial vision system to identify a fake or real robbery attempt.