Desarrollo de un aplicativo web-móvil con reconocimiento de imágenes para la gestión de servicios técnicos en aparatos electrónicos

Abstract

The main objective of this project was the development and implementation of a web-mobile application with image recognition capabilities. This application will enable the management and generation of technical service reports within Electrónica Mantilla, aiming to reduce documentation errors and improve processing times. The Mobile Sprint agile methodology was used to develop the system, allowing for a process adapted to the project's needs. The technological architecture utilized Supabase as the Backend as a Service, Next.js for the web-based administrative environment, and React Native for the mobile application. The integration of an Artificial Intelligence model was based on YOLOv8 Nano, which recognizes labels on electronic devices. An OCR engine was also integrated to automatically extract the necessary text and perform relevant validations. The resulting system allows the company to centralize information and manage service order processes in real time. The application automatically identifies electronic devices, recurring faults, and potential solutions provided by the company, streamlining and accelerating the technician's diagnostic process and service report generation. Acceptance testing demonstrated 97.11% accuracy in the Artificial Intelligence model, while the automatic generation of PDF reports helps technicians optimize the closing of each service call.