Sony Group had 159 patents in cybersecurity during Q4 2023. The Sony Group Corp patents filed in Q4 2023 cover a range of technologies including systems and methods for computing multidimensional skin color scores to address biases in image datasets, a server system for secure access to shared digital content based on user relationships, an electronic device for dynamic beam management in wireless communication systems, an information processing device for enhancing safety during high-speed data transmission, and a method for sharing data securely between data owner, data publisher, and users using symmetric access keys. GlobalData’s report on Sony Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Sony Group grant share with cybersecurity as a theme is 34% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for determining and using a multidimensional measure of apparent skin color (Patent ID: US20230419549A1)

The patent by Sony Group Corp. describes systems and methods for computing a multidimensional score of apparent skin color to capture skin color variation and address biases related to skin color in image datasets and computer vision models. The method involves segmenting skin pixels, extracting lightness and hue values, clustering the pixels, computing histograms, and assigning scalar values based on the mode of the histogram. By focusing on perceptual lightness and hue angle, the method aims to provide a more representative assessment of skin color effects in computer vision, enhancing diversity in data collection and identifying biases in fairness benchmarking.

Furthermore, the patent details methods for determining bias in face image datasets and computer vision-based models by analyzing apparent skin color. This involves calculating scalar values for lightness and hue, determining bias in datasets based on skin tone and hue, and assessing biases in machine learning models. The method also includes generating images to evaluate bias presence, using generative adversarial networks and diffusion models. By applying these techniques, the patent aims to improve the identification of biases related to skin color in datasets and models, ultimately enhancing fairness and accuracy in computer vision applications.

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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.