Integrating Augmented Reality and Artificial Intelligence in Vehicle Diagnostics: Applications for On-Board Diagnostics II Systems
- AIOR Admin
- Oct 16
- 1 min read
D. M. S. K. Disanayaka, L. K. P. D. Gunawardhana
University of Sri Jayewardenapura, Sri Lanka
On-Board Diagnostics II (OBD-II) is now the standard in vehicle health monitoring, but conventional diagnostic tools often display information that is complex and difficult for both drivers and technicians to understand. Emerging technologies, such as Augmented Reality (AR) and Artificial Intelligence (AI), hold vast potential in overcoming these challenges through natural visualisation and intelligent interpretation of diagnostic information. Moreover, the Internet of Things (IoT) offers opportunities to connect vehicles and monitor them in real-time and remotely. This review examines the integration of AR, AI, and IoT with OBD-II systems and their potential to revolutionise vehicle diagnostics. Some of the key points include the use of AR for augmented visualisation of faults, the application of AI for predictive maintenance and anomaly detection, and the utilisation of IoT to facilitate the easy transfer of data for connected vehicles. The contemporary study trends show advancements in fault diagnosis using AI and AR-supported training tools, but standardization of OBD-II data formats, real-time AR latency, data privacy, and interface simplicity remain unresolved. The review also highlights opportunities for developing integrated AR-AI systems, applying IoT for fleet diagnostics, and crafting AR systems focused on users as drivers and service technicians. More than just adding value from integrated OBD-II with AR, AI, and IoT systems, the configuration can transform the car's diagnostic mechanisms, expediting repair processes and improving safety and reliability.
Comments