Koninklijke Philips had three patents in cloud during Q1 2024. The patents filed by Koninklijke Philips NV in Q1 2024 focus on protecting digital client data in a computing cloud by transmitting only scrambled data and avoiding storing descrambled data. Additionally, an ultrasound system is designed to conduct self-testing of hardware components, with results stored and analyzed to improve system performance through updated self-test programs. GlobalData’s report on Koninklijke Philips gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Koninklijke Philips grant share with cloud as a theme is 33% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Privacy-safe-cloud-based computer vision (Patent ID: US20240106629A1)
The patent by Koninklijke Philips NV describes methods and systems for protecting digital client data transmitted to a computing cloud by only sending scrambled data and never storing descrambled data in the cloud. The processing of client data with the cloud involves embedded descrambling, ensuring that descrambled data is never output or stored by the cloud. Various techniques for scrambling data are outlined, including using lookup tables or mathematical functions to map data units to unique locations. Additionally, the system allows for periodic changes in the scrambling technique and the transmission of a scrambling identifier to identify the technique used.
The method and system outlined in the patent involve capturing unscrambled data on a client computing system, scrambling it, and transmitting the scrambled data to a cloud computing system for processing. The cloud system processes the data without storing descrambled data and outputs the processed data back to the client system. The data protection system includes components such as a data scrambler, a processing module in the cloud, and a cloud storage unit. The system ensures privacy by transmitting only scrambled data and not outputting descrambled data. Techniques for scrambling data are detailed, along with provisions for changing scrambling techniques periodically and transmitting identifiers to identify the scrambling technique used. Overall, the patent focuses on maintaining the privacy and security of client data in cloud computing environments through innovative scrambling and processing methods.
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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.
