Fujifilm has been granted a patent for an image data processing device that detects faces in overlapping image data, recognizes personal attributes, and generates composite map data by interpolating these attributes across multiple images, ensuring accurate representation even when direct interpolation is not possible. GlobalData’s report on Fujifilm 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 Fujifilm, AI-assisted medical imaging was a key innovation area identified from patents. Fujifilm's grant share as of July 2024 was 44%. Grant share is based on the ratio of number of grants to total number of patents.
Image data processing for face recognition and attribute mapping
The patent US12073652B2 describes an advanced image data processing device designed to analyze image data obtained from multiple imaging devices with overlapping fields of view. The core functionality of the device includes detecting faces within the images, recognizing personal attributes such as gender, age, or emotion, and generating map data that associates these attributes with the corresponding positions of individuals in the images. The device employs interpolation techniques to reconcile overlapping personal attributes across different map data items, ensuring a comprehensive representation of individuals even when some data may be missing or less accurate. Additionally, the processor can generate composite map data and heat maps, which can be displayed or output externally.
Further enhancing its capabilities, the device incorporates mechanisms to assess and improve recognition accuracy. It can replace less reliable personal attributes with those deemed more accurate, apply weighted averages based on recognition confidence, and exclude low-confidence data from the final output. The system also allows for the specification of overlapping individuals based on their positional relationships or personal attributes. The imaging devices can be instructed to capture images under varying conditions, such as different angles or exposures, to optimize the data collection process. Overall, this patent outlines a sophisticated approach to image data processing that leverages multiple data sources to enhance the accuracy and utility of personal attribute recognition.
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