Desarrollo de un sistema IoT de control y monitoreo de inventario en tiempo real basado en sistemas embebidos de código abierto

Abstract

The present project aimed to develop an IoT system for real-time inventory control and monitoring using weight sensors, an Arduino UNO R4 WiFi, and a Raspberry Pi 3, integrated with the TagoIO cloud platform. The main objective was to automate the inventory management process in small businesses by transforming physical inventory into an efficient and low-cost digital system. The applied methodology was descriptive with a mixed approach, based on the development and integration of hardware and software for data collection, processing, and visualization. Five load cell weight sensors with HX711 modules were used, connected to the Arduino, which sent the readings to the Raspberry Pi and then to the TagoIO dashboard. The results obtained showed an arithmetic mean response time of 1.349 seconds and a percentage error rate of 3.86%, indicating a low margin of error. Among the conclusions, it was determined that the system allows for accurate monitoring, remote visualization, and reduction of human errors. It is recommended to scale the number of sensors, protect the components, and optimize the code for automatic notifications.