AI-Based Damage Detection for Fleet Vehicles

Problem

Vehicle hardware collected operational data, but the project also required structured data handling, quality controls and a usable application for reviewing vehicle condition and damage-related information.

Solution

The software implemented a digital representation of the in-vehicle IoT device, stored incoming data across dedicated data services and exposed the information through a web application. The operational interface supports damage visualization, upcoming-inspection workflows and manual data collection where automated data is not sufficient.

Technical flow

Technology and architecture components