Tesis Ingeniería Electrónica y Comunicaciones

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Author: search.filters.author.León Troya, Yulissa CecibelSubject: search.filters.subject.SIGNOS VITALES

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    Sistema electrónico de monitoreo de mascotas para la gestión de clínicas veterinarias utilizando VOIP e IOT
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2022-03) León Troya, Yulissa Cecibel; Manzano Villafuerte, Víctor Santiago
    In the present research project, an electronic pet monitoring system is implemented for the management of veterinary clinics using VOIP and IOT and thus carry out an adequate management and control of the data obtained from a vital signs measuring device and through an application. Natively developed in React. The electronic monitoring system consists of 3 levels such as the acquisition and transmission of vital signs, information management and monitoring and hosting in the cloud, which are executed as follows: for the acquisition and transmission of data, the information of vital signs of the pet is collected through an electronic control device designed in a chest that owners commonly use to walk their pets, this information is sent through a Bluetooth module, for information management the data is received in the mobile device through the application developed in pure React Native with native specifications for devices with Android or iOS systems, this application contains a login system connected to a MYSQL database installed in CLOUD of Amazon Web Services hosting all information of the pet in the cloud, also contains a management system for veterinary doctors manage their clinics in a faster and more functional way, then the data received is transmitted to the Asterisk server hosted on AWS that alerts the pet owner with the VOIP service about any anomaly detected in the measurement of their pet's data. This project is based on contributing to the management of veterinary clinics by managing data in a simpler, faster and more efficient way, monitoring the health status of pets in real time and supporting the early detection of diseases in smallspecies animals.