Desarrollo de un prototipo de sistema de seguridad integrado usando IoT y detección de movimiento para reforzar la seguridad de viviendas ubicadas en áreas de expansión y rurales

Abstract

Homes located in rural and urban expansion areas in Colombia exhibit high levels of vulnerability due to the limited coverage of traditional security systems. The objective of this research project is to develop a prototype of an integrated security system that leverages IoT technologies and motion detection to enhance safety in these types of homes. For its implementation, an architecture was designed and deployed using IoT devices, a DVR with person detection capabilities, a Raspberry Pi running Python-based libraries, and a mobile application built with Android Studio (Koala version). The development methodology employed was SCRUM, structuring the work into epics, tasks, and iterations. Platforms such as Tuya were used to facilitate the integration and management of smart devices from different brands. The developed prototype enabled real-time monitoring, person detection, push notification delivery, and remote control through a mobile app. The use of built-in functionalities in commercial DVRs proved to be more efficient than developing image recognition algorithms from scratch. A testing plan was documented, validating each feature according to previously defined acceptance criteria. The resulting solution was technically feasible, economically accessible for middle-income households, and scalable to similar contexts. Its implementation demonstrates that by integrating existing technologies, it is possible to improve home security in areas with limited technological infrastructure. Keywords: IoT, home security, rural areas, motion detection, system prototype