Bandin Mikelle C.  <br/><br/>
Development of iot estrus detecting device for cows/ 
Mikelle C. Bandin, Enrico Miguel S. Bonafus, Clarisse Joy A. Capistrano, and Christian O. San Sebastian.-- 
 - Manila;   Technological University of the Philippines,  2020 
 - ii,   29cm. 
<br/><br/> Bachelor's Thesis 
<br/><br/>College of Industrial Technology,-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> The study entitled the “Development of IoT Estrus Detecting Device for Cows” aims to<br/>provide an effective way of detecting cow estrus for efficient artificial insemination using<br/>sensor technologies for detecting cow estrus signs. The prototype consists of a wearable<br/>device that focuses only on tracking excessive movement and successful mounting, which<br/>is the two primary signs of cow estrus, and an android mobile application for viewing of<br/>the gathered data. ESP8266 WiFi module is used as the main module of the device to<br/>process gathered data and transmit to the local host server. The locally hosted database is<br/>running on MySQL and PHP. As for the sensors, an accelerometer sensor is used to track<br/>movements and an infrared sensor for detection of every successful mount. Both sensors<br/>are attached to the ESP8266 WiFi module and programmed using Arduino while the<br/>Android mobile application was developed using Unity and C# programming language.<br/>The application requires the administrator to sign-in first in order to gain access of the<br/>features of the application. Functionality test was used to determine if the system has<br/>integrated all the required functionalities, design considerations, and functional<br/>requirements. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Detecting device <br/>Artificial Intelligence<br/>C# Programming language
<br/><br/><label>LC Class. No.: </label>BTH T 58.5   / B36 2020