Techniques and mechanisms for striped lighting damage detection

A system comprising:

• an interface configured to receive a first plurality of vehicle surface images associated with a vehicle, the first plurality of vehicle surface images used to identify a vehicle object model by applying a neural network to the first plurality of vehicle surface images, the first plurality of vehicle surface images captured from a first plurality of perspectives, wherein the first plurality of vehicle surface images correspond to a plurality of vehicle object model components, wherein the interface if further configured to receive a second plurality of vehicle surface images associated with the vehicle, the second plurality of vehicle surface images captured when the vehicle is illuminated by a plurality of striped lighting pattern panels, the second plurality of vehicle surface images captured from a second plurality of perspectives;
• a processor configured to analyze the second plurality of vehicle surface images captured when illuminated by the plurality of striped lighting pattern panels to detect vehicle imperfections, wherein the second plurality of vehicle surface images correspond to the plurality of vehicle object model components;
• storage configured to maintain an processor calculated a vehicle object model component damage score corresponding with the detected vehicle imperfections for a vehicle object model component.