Abstract: A hemming path planning method and a hemming system are provided. The hemming path planning method includes the following steps. An initial contour data of a target is scanned to obtain. A first segment of the hemming path is planned according to the initial contour data. The first segment corresponds to a first bending angle. A second segment of the hemming path is planned according to the initial contour data and an expected springback amount related to the first bending angle. The second segment corresponds to a second bending angle. The first segment and the second segment are combined to obtain a continuous hemming path.

Abstract: The present disclosure provides an image merging method. The image merging method includes the following step. First, the calibration unit is provided, wherein a calibration device of the calibration unit includes a plurality of known characteristic information. The calibration device is captured. A conversion relationship is created. A relationship of positions of the images is analysis according to the conversion relationship. The images are formed. In additional, an image merging device is provided.

Abstract: The present disclosure provides an image merging method. The image merging method includes the following step. First, the calibration unit is provided, wherein a calibration device of the calibration unit includes a plurality of known characteristic information. The calibration device is captured. A conversion relationship is created. A relationship of positions of the images is analysis according to the conversion relationship. The images are formed. In additional, an image merging device is provided.

Abstract: A robot positioning method includes the following steps. A optical sensing device is configured at a front end of a robot. Then, the optical sensing device captures a calibration plate image, and a relative position of the optical sensing device with respective to a calibration plate is calculated according to a Bundle Adjustment. A robot calibration method includes the following steps. An optical sensing device is driven to rotate around a reference axis of a calibration plate, so as to calculate a translation matrix between the calibration plate and the robot, and the optical sensing device is driven to translate along three orthogonal reference axes of the calibration plate, so as to calculate a rotation matrix between the calibration plate and the robot.

Abstract: A method and system for measuring three-dimensional coordinates of an object are provided. The method includes: capturing images from a calibration point of known three-dimensional coordinates by two image-capturing devices disposed in a non-parallel manner, so as for a processing module connected to the image-capturing devices to calculate a beam confluence collinear function of the image-capturing devices; calibrating the image-capturing devices to calculate intrinsic parameters and extrinsic parameters of the image-capturing devices and calculate the beam confluence collinear function corresponding to the image-capturing devices; and capturing images from a target object by the image-capturing devices so as for the processing module to calculate three-dimensional coordinates of the object according to the beam confluence collinear function. In so doing, the method and system enable the three-dimensional coordinates and bearings of a target object to be calculated quickly, precisely, and conveniently.

Abstract: A robot positioning method includes the following steps. A optical sensing device is configured at a front end of a robot. Then, the optical sensing device captures a calibration plate image, and a relative position of the optical sensing device with respective to a calibration plate is calculated according to a Bundle Adjustment. A robot calibration method includes the following steps. An optical sensing device is driven to rotate around a reference axis of a calibration plate, so as to calculate a translation matrix between the calibration plate and the robot, and the optical sensing device is driven to translate along three orthogonal reference axes of the calibration plate, so as to calculate a rotation matrix between the calibration plate and the robot.

Abstract: A method and system for measuring three-dimensional coordinates of an object are provided. The method includes: capturing images from a calibration point of known three-dimensional coordinates by two image-capturing devices disposed in a non-parallel manner, so as for a processing module connected to the image-capturing devices to calculate a beam confluence collinear function of the image-capturing devices; calibrating the image-capturing devices to calculate intrinsic parameters and extrinsic parameters of the image-capturing devices and calculate the beam confluence collinear function corresponding to the image-capturing devices; and capturing images from a target object by the image-capturing devices so as for the processing module to calculate three-dimensional coordinates of the object according to the beam confluence collinear function. In so doing, the method and system enable the three-dimensional coordinates and bearings of a target object to be calculated quickly, precisely, and conveniently.

Abstract: A visual-based contactless communication device adapted to communicate with one or more visual-based contactless devices includes a photographic device for photographing image data displayed by one or more visual-based contactless communication devices; a center control device for identifying predetermined information in the image data, producing response information according to the predetermined information and generating effective image data identifiable by one or more visual-based contactless communication devices according to the response information or specified information; and a display device for displaying the effective image data to be photographed by one or more visual-based contactless communication devices; wherein when two visual-based contactless communication devices communicate with each other, one displays the effective image data with the response information after identifying the predetermined information, and the other proceeds with subsequent communication only after identifying the eff