4results about How to "Accurate contour" patented technology

The invention provides an electronic device, a ceramic substrate and a preparation method thereof, and relates to the technical field of semiconductors. The ceramic substrate comprises a ceramic base body and a liquid channel layer, the liquid channel layer is arranged in the ceramic base body, the liquid channel layer and the ceramic base body are integrally sintered and formed, the liquid channel layer comprises a liquid channel, the liquid channel is used for containing a cooling medium, and the liquid channel extends in the ceramic base body along a three-dimensional space path. The preparation method of the ceramic substrate comprises the following steps: preparing slurry containing ceramic powder, preparing a sacrificial template matched with a target liquid channel in shape, pouring the slurry to coat the sacrificial template, filling a mold with the slurry to obtain a ceramic blank, removing the sacrificial template to form a hollow channel in the ceramic blank, and sintering to form the ceramic substrate with the liquid channel. The electronic device comprises the ceramic substrate, a component and a liquid cooling circulation system.

The application provides a depth image acquisition method, an electronic device and a storage medium. The method comprises the following steps: acquiring a first image and a second image; processing the first image to obtain a predicted depth map, and calculating a first error value by using a first preset loss function; determining a first transformation matrix between the first image and the second image; performing instance segmentation and mask processing on the first image to obtain a first mask image and a second mask image; processing the first transformation matrix according to the first mask image and the second mask image to obtain a target transformation matrix; generating a third image based on the target transformation matrix; calculating a second error value by using a second preset loss function; adjusting a depth learning network model according to the first error value and the second error value to obtain a target depth learning network model; and inputting a to-be-detected image into the target depth learning network model to obtain a depth image corresponding to the to-be-detected image. The application can obtain a more accurate depth image.

This invention discloses a visual inspection device for the end face of a tablet pressing mold, comprising a cabinet and a workpiece. The cabinet houses a worktable with a clamping mechanism for limiting and clamping the workpiece. A first visual inspection mechanism is mounted on the worktable, and a second visual inspection mechanism is located on the upper part of the worktable near the clamping mechanism. Compared to existing technologies, this device, with its adjustable clamping mechanism and two visual inspection mechanisms, effectively improves inspection efficiency through their combined operation. The clamping mechanism rotates the workpiece under the drive of a stepper motor. The first visual inspection mechanism integrates an end face inspection camera and a laser profilometer, simultaneously measuring end face parameters and scanning surface defects. The second visual inspection mechanism is equipped with multiple axial inspection cameras, enabling precise modeling of the overall contour of the workpiece, thus avoiding efficiency losses caused by multiple clamping operations.