Rakuten Group had 99 patents in digitalization during Q2 2024. The Rakuten Group Inc patents filed in Q2 2024 cover a range of technologies including information processing apparatus for object recognition, display control system based on user characteristics, system for providing usage-based insurance information, fraud detection system using multiple fraud detection engines, and policy evaluation device using machine learning algorithms for off-policy evaluation. GlobalData’s report on Rakuten Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Rakuten Group had no grants in digitalization as a theme in Q2 2024.

Recent Patents

Application: Information processing apparatus, information processing method, and non-transitory computer readable medium (Patent ID: US20240212311A1)

The patent filed by Rakuten Group Inc. describes an information processing apparatus that acquires an object image containing one or more objects, infers rectangular areas surrounding the objects and their types using learning models, and extracts colors of a target object within the image. The apparatus includes memory, processors, and program code for these functions. The extraction code performs color determination on each pixel in the target object's area to extract its colors, potentially determining a predetermined number of top colors.

Additionally, the apparatus utilizes specific learning models such as YOLO and FCN for object detection and color extraction, respectively. The object image is generated from YCbCr image data through DCT conversion, with the apparatus capable of generating feature vectors for the target object and searching for similar images based on these vectors. The method and computer program described in the patent outline the steps for acquiring object images, inferring rectangular areas and object types, determining target object areas, and extracting colors. The computer program stored on a non-transitory medium enables the acquisition, inference, and extraction processes for object images.

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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.