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:
An industrial image inspection method includes: generating a test latent vector of a test image; measuring a distance between a training latent vector of a normal image and the test latent vector of the test image; and judging whether the test image is normal or defected according to the distance between the training latent vector of the normal image and the test latent vector of the test image.
Abstract:
A proximity sensing apparatus is provided. The proximity sensing apparatus includes an encoded signal transmission unit, an interference signal transmission unit and a reception unit. The encoded signal transmission unit transmits an encoded signal, and the interference signal transmission unit transmits an interference signal. The interference signal interferes with the encoded signal to generate an interfered signal. The reception unit receives a sensing signal and outputs the sensing signal to a signal processing unit. The sensing signal is either the interfered signal or the encoded signal. The signal processing unit is electrically connected to the reception unit, and determines whether the sensing signal matches the encoded signal. The signal processing unit further outputs a proximity signal when the sensing signal does not match the encoded signal.
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:
A proximity sensing apparatus is provided. The proximity sensing apparatus includes an encoded signal transmission unit, an interference signal transmission unit and a reception unit. The encoded signal transmission unit transmits an encoded signal, and the interference signal transmission unit transmits an interference signal. The interference signal interferes with the encoded signal to generate an interfered signal. The reception unit receives a sensing signal and outputs the sensing signal to a signal processing unit. The sensing signal is either the interfered signal or the encoded signal. The signal processing unit is electrically connected to the reception unit, and determines whether the sensing signal matches the encoded signal. The signal processing unit further outputs a proximity signal when the sensing signal does not match the encoded signal.
Abstract:
The present disclosure discloses a method for suturing 3D coordinate information. The method includes disposing a correction block on a test platform; capturing first 3D coordinate information represented by a first viewing angle and second 3D coordinate information represented by a second viewing angle from the correction block; determining a first center coordinate of the first 3D coordinate information and a second center coordinate of the second 3D coordinate information; superimposing the first 3D coordinate information to the second 3D coordinate information to form first overlap 3D coordinate information; suturing the first 3D coordinate information into the second 3D coordinate information to form a first 3D coordinate suturing result according to an iterative closet point algorithm; and determining a first transformation relation of the first viewing angle versus the second viewing angle according to the first 3D coordinate information and the first 3D coordinate suturing result.
Abstract:
The present invention provides a method for image recombination of a plurality of images and image identification and a system for image acquiring and identification. Features with respect to the plurality of images are recombined and enhanced so as to form a recombined image. After that, the recombined image is processed to emphasize the features of the recombined image so that the recombined image is capable of being identified easily. Furthermore, the present provides a system to perform the foregoing method, whereby reducing unidentified problems caused due to low quality image of the monitoring system.