Smart monitoring system for automatic tensioning device through object detection neural network

This thesis introduces Spiroll, an innovative device prepared for integration into railway systems. With Spiroll’s unique hardware-software co-design it is necessary to implement a real-time monitoring and control system by using Artificial Intelligence solutions combining information from different electronic components, such as temperature sensors and a USB camera. The coalescence of these driving technologies not only provides instantaneous data but also facilitates the foundation for a user friendly web app. This app empowers operators to efficiently supervise Spiroll’s functions, marking a significant leap in visioning high-tension cables within railway systems. The thesis navigates the conception, design, and implementation of Spiroll, unveiling an original paradigm in railway infrastructure management.