AI inspection technology enhances JLR’s portside quality assurance

Jaguar Land Rover (JLR) North America has introduced AI-powered vehicle inspection systems at three of its main US entry points: Brunswick, Georgia; Baltimore, Maryland; and Port Hueneme, California.

Developed by Israeli firm UVeye and described as an “MRI for vehicles,” the system scans and detects dents, scratches, underbody damage and rim flaws as small as 20mm.

The automated inspection is now part of JLR’s Customer Acceptance Line process and is intended to improve transparency, traceability and efficiency across its supply chain.

“By deploying our technology at ports, JLR is creating a new benchmark of transparency, traceability, and trust throughout the supply chain,” said Amir Hever, CEO and co-founder of UVeye. “This is about more than efficient port processing; it’s about building smarter, faster and more consistent automotive logistics that benefits everyone from OEMs and dealerships to drivers.”

JLR is the first automaker in the US to use UVeye’s AI systems at seaports. The technology is already in place at US dealerships, where it produces real-time condition reports for sales and service departments. Extending it upstream to ports creates a digital record that follows vehicles from arrival to delivery, providing visibility between the manufacturer, logistics providers and dealerships.

The system is designed to identify defects earlier, reduce the risk of disputes or rework, and speed up inspections compared with manual checks. The data generated also feeds back into port handling and manufacturing processes. For an industry facing ongoing disruption, consistent quality assurance has become increasingly important. As highlighted at Automotive Logistics’ 2025 Finished Vehicle Logistics North America conference, maintaining high inspection standards across the finished vehicle network is now seen as both an operational necessity and a competitive advantage.

“Together, UVeye and JLR are setting a new standard for vehicle logistics, utilising AI to enhance quality assurance from the moment a vehicle enters the country,” Hever said.