Fujifilm had 141 patents in artificial intelligence during Q4 2023. Fujifilm Holdings Corp filed patents for imaging support apparatus using neural networks for subject identification, medical image processing apparatus for recognizing target objects and determining notification levels, ultrasound diagnostic apparatus for detecting debris movement in cysts, control apparatus for surveillance cameras using machine learning for object detection, and image display apparatus for improving interpretation efficiency of ultrasound images. GlobalData’s report on Fujifilm gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Fujifilm grant share with artificial intelligence as a theme is 29% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Imaging support apparatus, imaging apparatus, imaging support method, and program (Patent ID: US20230419504A1)
The patent filed by Fujifilm Holdings Corp. describes an imaging support apparatus that utilizes a neural network to identify subjects in captured images and performs imaging-related processing based on the influence degree of the identification. The processor in the apparatus inputs the captured image to the neural network for subject identification and then divides the image into regions based on the influence degree. The imaging-related processing includes displaying the regions on a display in different ways according to the influence degree, as well as performing specific processing on regions with influence above certain threshold values.
Furthermore, the imaging support apparatus can switch between detection and tracking processing based on the influence degree, with the tracking target region being narrower than the detection target region. The apparatus can also select a single subject from multiple subjects in an image based on the influence degree. The processor periodically causes the neural network to identify the subject based on the influence degree, which is derived from the output of specific interlayers in the neural network. Overall, the patent outlines a sophisticated imaging support system that optimizes processing based on the neural network's identification of subjects in captured images.
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