Mobile and automated apparatus for the detection and classification of damages on the body of a vehicle

1. A mobile and automated apparatus for detection and classification of damage on vehicle bodies, wherein it comprises a support structure defining a passage area for a motor vehicle having a body; said support structure supporting lighting means adapted to project a grid pattern on the surface of said body; said support structure further supporting speed measurement means adapted to measure the speed of said vehicle in said passage area, distance measurement means to measure the distance of the vehicle body from the support structure, and image recording means to capture moving images of said pattern reflected by said surfaces; said apparatus further comprising an image processing unit that processes said pattern reflected by said surfaces and captured by said image recoding means, and simultaneously processes the signals from said speed and distance measurement means to timely synchronize said distance measurements with said moving images in order to count and classify damages on said car body.

2. The apparatus, according to claim 1 , wherein said image detection means comprises high resolution cameras.

3. The apparatus, according to claim 1 , wherein said distance measurement means comprises a signal emitter and a receiver of said signals that are reflected by said surfaces.

4. The apparatus, according to claim 1 , wherein said processing unit comprises an interactive tool configured to allow an operator to semi-automatically add and remove the detected damage.

5. The apparatus, according to claim 1 , wherein said support structure comprises separate parts that can be associated in a univocal way.

6. A method for the detection and classification of damage on the car body of a motor vehicle, wherein it comprises the steps of:

leading a motor vehicle into a passage area that is lit by a grid pattern;

acquiring the images of said pattern that are reflected by the surfaces of the car body of the motor vehicle;

measuring the distance between said surfaces and said image acquisition means;

measuring the speed of said motor vehicle in said passage area;

timely synchronizing said distance measurements with said images;

analyzing the images of said pattern that are reflected by the surfaces of the car body and recognizing the damage on said surfaces as local distortions of said reflected pattern;

tracking damages through consecutives images;

filtering falsely detected damages from effective detected surface damages;

classifying said damages by size;

localizing the position of each damage on said car body of said moving motor vehicle;

recording the data concerning number, position and amount of all the detected damages;

using said distance measurements between said surfaces and the image acquisition means to convert digital pixel units of said images to physical measurement units.

7. The method, according to claim 6 , wherein it comprises an interactive step in which a human operator adds or removes detected damages.