A system for capturing VIN numbers and vehicles images to track vehicle damage through vehicle supply chains which includes a mobile software application and/or robot(s) which moves autonomously around parking lots. The mobile application can direct the user to capture VIN images and/or vehicle images from certain views and collect GPS positions of the same and the robot includes various cameras and sensors to identify vehicles and take pictures of them. All of the captured images of vehicles are sent to a central server/storage where the vehicle images can be checked for damage as compared to locations so that it can be determined who was in possession of the vehicle when damage occurred.

The coating quality prediction device includes: a learned model that has learned a relationship between characteristics of a paint, conditions at a time of applying the paint, and a smoothness of a surface of a coating film obtained by applying the paint under the conditions; and a calculation unit that uses the learned model to calculate the smoothness of the surface of the coating film from the characteristics of the paint and the conditions at the time of applying the paint.

A method that is able to measure the gap and flush of vehicle parts by means of a measuring tunnel. The method is able to determine the coordinates in 3D of the edges or ends of two adjacent parts of a vehicle. The measuring tunnel includes several video cameras, LED lights, a conveyor, a position encoder that measures the movement of the vehicle; a total station that measures fixed points of the measuring tunnel structure; a calibration chessboard and a calibration pattern; processing and storage means to store images taken by the video cameras, Computer-Aided-Design files of the vehicles and an edge recognition algorithm.

Disclosed herein is a method for assessing a dotting of a surface, comprising including the steps of gradually dotting the surface during a predetermined interval of time and capturing a plurality of images of the dotted surface during the predetermined time interval. Also disclosed herein is a computer program product for assessing a dotting of a surface.

Disclosed herein is a method and a device that can measure an unknown target coating; can search, based on the measured data of the target coating, a database for one or more best matching coating formulas, i.e. one or more preliminary matching formulas, within the database; and that can refine the search using an image similarity metric between images of the one or more best matching coating formulas on the one side and images of the target coating on the other side, using deep learning techniques.

A method and system for generating a three-dimensional representation of a vehicle to assess damage to the vehicle. A mobile device may capture multispectral scans of a vehicle from each a plurality of cameras configured to scan the vehicle at a different wavelength of the electromagnetic spectrum. A virtual model of the vehicle may be generated from the multispectral scan of the vehicle, such that anomalous conditions or errors in individual wavelength data are omitted from model generation. A representation of the virtual model may be presented to the user via the display of the mobile device. The virtual model of the vehicle may further be analyzed to assess damage to the vehicle.

A method and apparatus for inspecting a structure. Electromagnetic radiation is sent to a surface on a structure from an electromagnetic radiation emission system. A response is filtered to the electromagnetic radiation using a filter located inside of a borescope inspection housing. The filter is configured to pass a number of wavelengths in a response to the electromagnetic radiation directed at the surface on the structure. Data is generated from the number of wavelengths from the number of wavelengths passed through the filter using a sensor array. A two-dimensional image of the surface on the structure is generated with a group of graphical indicators indicating a group of inconsistencies not visible to a naked eye. The two-dimensional image is generated using data from a sensor array.

Slit light is irradiated onto an object to be photographed (for example, an automobile body) in order to obtain a source image. Next, either one of a maximum value filtering process or a minimum value filtering process is performed on the source image to thereby obtain a first filter-processed image. Furthermore, after obtaining a second filter-processed image by carrying out a remaining one of the minimum value filtering process or the maximum value filtering process with respect to the first filter-processed image, a difference is determined between the second filter-processed image and the source image, and a difference image is obtained. Thereafter, a binarization process is implemented with respect to the difference image.

An apparatus for painting an object, the apparatus having a painting head equipped with a spraying nozzle arranged to deliver a flow of paint on a surface. The apparatus also includes a device for moving the painting head in the space according to at least two degrees of freedom. An identification device is also provided for identifying the three-dimensional shape of the surface. A processing means is also provided to process the detected projected image and to determine the spatial coordinates of each point.

A method for locating external surface impacts on a body. The steps are: modeling the body in a control unit first database to obtain a virtual body model in a virtual system of reference axes; modeling, in a second database, a plurality of clouds of points in the virtual system, each cloud defining an inspection zone representing an external surface portion; selecting an inspection zone; transferring the coordinates of each point of the first and second databases to a geographic system of reference axes; determining geographic coordinates of an initial position of a range finder equipped flying drone communicating with the processing unit; calculating a drone flight plan to scan the selected inspection zone; creating a 3D meshing of the scanned inspection zone; detecting the impacts by comparing the 3D meshing and the virtual aircraft model and calculating the coordinates of each impact in the geographic and virtual systems.