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Automotive diagnostics tend to advance in tandem with the development of automotive technology, as more systems are embedded in a vehicle, it becomes difficult to coordinate all the components so that they work in harmony. Apart from the complexity of the systems, it is also necessary to consider the customer demand for vehicles that provide greater goods and safety, so this study introduces AutoDiag, an innovative automotive diagnostic system that revolutionizes vehicle maintenance through remote diagnosis powered by artificial intelligence and embedded systems. The system not only accurately diagnoses vehicle faults, but also predicts the remaining life of vehicle subsystems, enhancing reliability, safety, and longevity. Based on previous scientific research and studying the shortcomings of existing systems, AutoDiag integrates multiple technologies using embedded systems and Artificial Intelligence (AI) through Internet of Things (IoT), to analyze vehicle sensor data. The results of the AutoDiag System have proven its high effectiveness The performance of AutoDiag was evaluated using metrics such as Root Mean Square Error (RMSE) which achieved 86.05 and demonstrating superior diagnostic accuracy on real-time data. This significantly improves vehicle efficiency and contributes to the sustainable development of the automotive industry.

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AUTODIAG: Revolutionizing Automotive Maintenance Remote Diagnostics Empowered Using Artificial Intelligence and Embedded Systems Through IoT

  • 会议论文

  • 发表日期：

    2025年

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  • Eman Adel,
  • Ahmed Saleh,
  • Ahmed Samir,
  • Emily Essam,
  • Mahmoud Nasr,
  • Mohamed Fathy,
  • Mohamed Nadim,
  • Mostafa Ahmed,
  • Sandy Nabil,
  • Yasmeen Hany,
  • Youssef Ahmed,
  • Marwa Gamal

摘要

Automotive diagnostics tend to advance in tandem with the development of automotive technology, as more systems are embedded in a vehicle, it becomes difficult to coordinate all the components so that they work in harmony. Apart from the complexity of the systems, it is also necessary to consider the customer demand for vehicles that provide greater goods and safety, so this study introduces AutoDiag, an innovative automotive diagnostic system that revolutionizes vehicle maintenance through remote diagnosis powered by artificial intelligence and embedded systems. The system not only accurately diagnoses vehicle faults, but also predicts the remaining life of vehicle subsystems, enhancing reliability, safety, and longevity. Based on previous scientific research and studying the shortcomings of existing systems, AutoDiag integrates multiple technologies using embedded systems and Artificial Intelligence (AI) through Internet of Things (IoT), to analyze vehicle sensor data. The results of the AutoDiag System have proven its high effectiveness The performance of AutoDiag was evaluated using metrics such as Root Mean Square Error (RMSE) which achieved 86.05 and demonstrating superior diagnostic accuracy on real-time data. This significantly improves vehicle efficiency and contributes to the sustainable development of the automotive industry.