NIKE had four patents in robotics during Q2 2024. NIKE Inc has filed patents for enhancing shoe manufacturing through the use of 3-D models created by projecting laser beams onto shoe parts, analyzing the images, and converting the data into geometric coordinate values. Another patent involves a system with an injector, press, and robotic conveyance to form foamed footwear components from a polymeric composition and supercritical fluid in an automated manner, increasing throughput. 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 had no grants in robotics as a theme in Q2 2024.

Recent Patents

Application: Automated 3-d modeling of shoe parts (Patent ID: US20240118073A1)

The patent filed by NIKE Inc. describes a method and system for creating three-dimensional models of shoe parts using a combination of a camera, laser, and shoe-part moving apparatus. By adjusting the settings of these components and capturing images of a laser beam projected onto the shoe part, a detailed three-dimensional surface map of the shoe part can be generated. This technology allows for the automation of certain manufacturing steps once the 3-D model is converted into a coordinate system recognized by shoe-manufacturing tools.

The method involves adjusting the camera, laser, and shoe-part moving apparatus settings to enhance the laser beam representation, projecting the laser beam onto the shoe part, capturing images with the camera, and using these images to create a detailed three-dimensional surface map of the shoe part. The system includes components such as a camera, laser, shoe-part moving apparatus, and a computer system that work together to generate accurate 3-D models of shoe parts. By adjusting settings like aperture, shutter speed, and exposure based on factors like color and movement speed, the system ensures high-quality images for precise modeling and subsequent manufacturing processes like adhesive application.

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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.