AI technology shows promise and limitations in vehicle safety and damage assessment

Developments in artificial intelligence are reshaping vehicle management and damage assessment, though experts warn of specific limitations.

In fleet management, AI-powered video telematics is evolving from simple dashcams into proactive safety tools. According to Geotab’s Connected Fleets in Australia Report 2026, organizations using these technologies reported improved driver safety, fewer false insurance claims, and reduced incident costs. By combining vehicle data with AI-powered cameras, fleet managers can better understand driver behavior and the context surrounding events like harsh braking or sudden impacts.

However, in the field of accident repair, vehicle engineering specialist Laird has cautioned against total reliance on AI for damage assessment. Research from Project X-Ray, which analyzed over 250,000 assessments, suggests that while AI is efficient at visual tasks like monitoring panel damage, it often fails to identify structural or mechanical issues that are not visible in external photographs. Experts suggest a hybrid model where AI processes large datasets while human engineering judgment is used to assess damage that cameras cannot detect, such as internal suspension or structural failures.