Cognex has been granted a patent for a method that generates composite images of multiple sides of an object. The process involves capturing images, mapping 3D poses to 2D areas, and associating image portions with the object’s surface to create a comprehensive visual representation. GlobalData’s report on Cognex gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Cognex, AI-assisted repair estimation was a key innovation area identified from patents. Cognex's grant share as of July 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Generating composite images of 3d objects from multiple views
The patent US12073506B2 outlines a method and system for generating images of one or more sides of an object by utilizing a combination of three-dimensional (3D) pose information and a series of images captured by an image sensor. The process begins with receiving data that indicates the 3D pose of the object in a specific coordinate space, followed by the acquisition of multiple images that represent various surfaces of the object. Each image is then mapped to a two-dimensional (2D) area based on the 3D pose, allowing for the association of image portions with the corresponding surfaces of the object. Ultimately, a composite image is generated from the selected images that depict the surface of the object.
Additionally, the patent describes the capability to repeat this process for multiple objects, particularly those moving along a conveyor system. The method includes provisions for mapping 3D locations of object corners to 2D image locations, as well as the potential to generate a 3D model of the object based on its dimensions. The system can also save the images used to create the composite image, enabling further interaction with the visual data. This technology has applications in various fields, including manufacturing and logistics, where accurate imaging and modeling of objects are essential.
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