This paper presents an artificial intelligence (AI)-enabled system for identifying engine components, aimed at assisting car owners in recognizing parts within the engine bay. Using object detection and segmentation models, the system accurately identifies critical components and augments them with interactive overlays that provide labels, tooltips, and maintenance guidance. The overarching objective is to establish the algorithmic foundation for future hardware implementation, with the long-term goal of improving automotive maintenance efficiency through the development of a dedicated application-specific diagnostic and maintenance integrated circuit.

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AI-Powered Engine Component Identifier for Vehicle Maintenance

  • Aron Cruz,
  • Yalong Wu,
  • Xiaokun Yang

摘要

This paper presents an artificial intelligence (AI)-enabled system for identifying engine components, aimed at assisting car owners in recognizing parts within the engine bay. Using object detection and segmentation models, the system accurately identifies critical components and augments them with interactive overlays that provide labels, tooltips, and maintenance guidance. The overarching objective is to establish the algorithmic foundation for future hardware implementation, with the long-term goal of improving automotive maintenance efficiency through the development of a dedicated application-specific diagnostic and maintenance integrated circuit.