Canon had 228 patents in artificial intelligence during Q2 2024. Canon Inc’s patents in Q2 2024 include an image processing apparatus for selecting and outputting specific parts in an image based on distance estimation, an imaging display device with pupil detection for generating image information, an information processing apparatus that switches imaging units based on subject movement, an imaging system using neural networks for object detection, and an image processing apparatus that notifies users of potential blur information and displays indicators for better visibility. GlobalData’s report on Canon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Canon had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Image processing apparatus, method of generating trained model, image processing method, and medium (Patent ID: US20240212193A1)
The patent filed by Canon Inc. describes an image processing apparatus that performs first position estimation to detect parts of a first type in an image, estimates the distance between these parts and a part of a second type, selects one part of the first type based on the estimated distance, and outputs information indicating the selected part. The apparatus uses a trained model to estimate distances and select parts based on the distance criteria.
Additionally, the patent includes claims related to the selection process, methods for selecting parts based on distance differences, training models to estimate distances and positions of parts in images, and controlling image capture units based on the selected parts. The apparatus can detect various parts such as eyes, ears, faces, and heads, and is designed to improve image processing accuracy and efficiency by focusing on specific parts based on distance estimations. The patent also covers methods for generating trained models and computer-readable mediums storing programs for executing the image processing method.
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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.
