Precise Tracking to Understand When a Vehicle was Damaged During the Transit Process

AI solutions in this logistics sector are deployed using bespoke rigs and provide roll-on/roll-off damage inspections at every point for finished vehicle logistics (FVL), a precise tracking mechanism to understand when a vehicle was damaged during transit to assign responsibility and liability.

Precise tracking to understand when a vehicle was damaged during the transit process.

The bespoke rigs feature controlled lighting and machine-vision cameras to capture the 360-degree exterior of the vehicle, including the roof and underbody. These rigs can be deployed at all roll-on/roll-off (RORO) points, like truck loading bays, rail yards, seaports, airports, and delivery lots. The AI in logistics solution helps to pinpoint damage and creates a clear track-and-trace visual audit trail of the vehicle’s condition through the supply chain. It caters to any size and width of cars.

Remotely configurable solution.

Using computer vision and deflectometry technologies, the AI solution for this logistics sector eliminates human subjectivity from the FVL damage assessment process. Damage assessments with computer vision eliminate the need for people in close quarters in a quality station, thus ensuring safety.