General Electric had 31 patents in artificial intelligence during Q1 2024. General Electric Co filed a patent for a wind turbine blade inspection system that uses image capturing devices and image processing to identify defects in wind turbine blade parts. Another patent describes a control circuit that generates synthetic images of a three-dimensional object with visual emphasis on specific features, which can be used for training machine learning models. GlobalData’s report on General Electric gives a 360-degree view of the company including its patenting strategy. Buy the report here.
General Electric grant share with artificial intelligence as a theme is 74% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System and method for inspection of a wind turbine blade shell part (Patent ID: US20240078654A1)
The patent filed by General Electric Co. describes a wind turbine blade inspection system that utilizes image capturing devices, such as thermographic and optical cameras, to inspect wind turbine blade parts for defects. The system includes conveying means to move the image capturing devices along the blade part to capture images, which are then processed by an image processing unit to identify anomalies and determine if they indicate defects. The system also includes additional features such as position logging, image stitching, and image filtering to enhance defect detection accuracy.
Furthermore, the patent outlines a method for inspecting wind turbine blade parts using the described system, involving capturing images along the blade part, processing the images to identify anomalies, and determining if they represent defects. The method includes calculating confidence values for possible defect types, grouping pixels belonging to the same defect type, and illuminating defect locations for repair work. The method aims to provide a comprehensive and efficient process for inspecting wind turbine blade parts to ensure optimal performance and safety.
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