Augmented reality vehicle diagnostic and repair system with cloud-based guidance

Abstract

An augmented reality (AR) vehicle diagnostic and repair system integrates onboard diagnostic (OBD) data with cloud computing to assist users in identifying and resolving vehicle issues. The system includes vehicle sensors, an OBD scanner, and a mobile device that serves as a user interface. Using AR, overlays provide real-time guidance onto the physical environment for diagnosing and repairing vehicle components. The system identifies vehicles via data from the Vehicle Communication Interface (VCI) port, including the Vehicle Identification Number (VIN). A cloud server stores detailed vehicle-specific information, including 3D models, wiring diagrams, and Diagnostic Trouble Codes (DTCs) with associated repair instructions. The system supports remote diagnostics and real-time interaction with professional mechanics. Artificial intelligence (AI) and machine learning (ML) enhance the database, ensuring accurate AR guidance tailored to each vehicle. This system simplifies complex vehicle repairs, making them more accessible to users with limited technical expertise.