NIKE had eight patents in metaverse during Q1 2024. NIKE Inc has developed a method for authenticating clothing using machine-readable identifiers with digitally printed images containing ciphers such as symbols, colors, or geometric shapes. By scanning the identifier, extracting the encryption key, and accessing a digital token associated with the clothing, the authenticity of the article can be verified. GlobalData’s report on NIKE gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NIKE grant share with metaverse as a theme is 75% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Digital fingerprinting (Patent ID: US20240029083A1)
The patent filed by NIKE Inc. describes a method for authenticating articles of clothing using a machine-readable identifier with digitally printed images containing ciphers like symbols, colors, or geometric shapes. By scanning the identifier, extracting an encryption key, accessing a digital token, and authenticating it, the method ensures the clothing's authenticity. The system involves capturing image data, converting scans to grayscale, and utilizing non-fungible tokens stored on private blockchains for authentication, enabling access to manufacturing data and software functionalities associated with the clothing.
The method and system outlined in the patent aim to provide a robust authentication process for articles of clothing by utilizing machine-readable identifiers with unique ciphers to verify authenticity. By incorporating digital tokens stored on private blockchains, the process ensures secure authentication and access to additional information related to the manufacturing and functionality of the clothing. The use of symbols, colors, and geometric shapes as ciphers in the digitally printed images adds layers of security to prevent counterfeiting and unauthorized duplication of the clothing items.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
