Ford Motor had 80 patents in artificial intelligence during Q1 2024. Ford Motor Co has filed patents for a component inspection system using AI to detect anomalies in automotive components, a method for segmenting point cloud data for production components, tracking objects on reflective surfaces in images, identifying battery conditions in electrified vehicles, and a computer system for comparing images to determine if objects are the same. GlobalData’s report on Ford Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Ford Motor grant share with artificial intelligence as a theme is 53% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Production-speed component inspection system and method (Patent ID: US20240104715A1)
The patent filed by Ford Motor Co. describes a component inspection system and method that utilizes a combination of point cloud data and images to generate a 3D model of an automotive component. This model is then used by a controller, trained with artificial intelligence, to detect anomalies in the component. The system can identify the type of anomaly present and classify it, as well as determine the type of automotive component being inspected. The controller can also pinpoint the location of any anomalies detected.
The method involves scanning the component, aggregating the data points to create a model, and using artificial intelligence for anomaly detection. If an anomaly is found, the system can prompt the removal of the component from the production line. Different scanners are arranged at varying angles and orientations to collect data sets for accurate model reconstruction. The system can display the model of the component in real-time on a user interface, allowing for quick decision-making during production. Overall, the patent outlines a sophisticated inspection system that leverages AI and 3D modeling to ensure the quality of automotive components during manufacturing.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
