Konica Minolta had 33 patents in artificial intelligence during Q2 2024. The patents filed by Konica Minolta Inc in Q2 2024 focus on image processing, information processing, speech reproduction control, machine learning for form identification, and training a machine learning system for optical/image character recognition. These patents aim to improve accuracy in detecting abnormalities, identifying forms, and training systems to recognize characters and keywords effectively. GlobalData’s report on Konica Minolta gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Konica Minolta had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Image processing system, image forming system, information processing apparatus, inspection method, countermeasure specifying program, countermeasure specifying system, learning apparatus, and learning method (Patent ID: US20240176556A1)
The patent filed by Konica Minolta Inc. describes an image processing system that includes an image reader, an inspector, and a specifier. The image reader reads an image on a recording medium, the inspector inspects for errors in the image, and the specifier specifies a countermeasure based on the inspection results and predetermined proposal conditions. The system can record work content and time, accumulate information related to inspections and countermeasures, and prioritize countermeasures based on factors like cause probability, work time, part price, or customer satisfaction. It can also connect multiple image forming apparatuses via a network, share error examples, and isolate causes of errors. Additionally, the system includes components like a determiner to check if errors are eliminated, a non-transitory recording medium for executing countermeasure programs, and methods for inspection, information processing, countermeasure specifying, and learning.
Overall, the patent outlines a comprehensive image processing system that not only identifies errors in images but also suggests and implements appropriate countermeasures based on inspection results and predetermined conditions. The system's ability to record, accumulate, and prioritize information, as well as its network connectivity and learning capabilities, make it a robust solution for improving image quality and efficiency in various applications. The patent covers a wide range of features and methods related to image inspection, countermeasure specification, and learning processes, highlighting the system's versatility and potential for enhancing image processing operations.
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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.
