AI-Powered Vehicle Inspection System

The Challenge

Our UAE automotive client was conducting vehicle inspections manually — a process that required trained inspectors, hours of time per vehicle, and was prone to inconsistency. They needed a scalable, AI-driven solution that could be used by non-specialist staff via a mobile device.

Our Solution

CodeOrAI built a cross-platform React Native mobile application backed by a Python computer vision pipeline hosted on Azure. The app allows inspectors to photograph vehicle panels using their smartphone camera, with AI instantly:

• Detecting and localising damage (dents, scratches, cracks, paint damage)
• Classifying severity on a standardised scale
• Estimating repair cost ranges based on damage type and area
• Generating a structured PDF inspection report instantly
• Syncing reports to a cloud dashboard for fleet management

Technology Stack

Results

After deployment, average inspection time dropped from 45 minutes to under 12 minutes. The AI model achieved 98.2% accuracy on the client's test dataset. The solution now processes hundreds of vehicle inspections per day across the UAE, with plans to expand to additional GCC markets.