Konica Minolta had four patents in internet of things during Q4 2023. Konica Minolta Inc filed a patent for an apparatus that uses magnetic field sensors and a fingerprint processing system to detect ferrous metallic objects from a distance of at least 0.5 meters. The system generates a magnetic fingerprint image based on the data collected from the sensors, allowing for accurate detection without the need for close proximity to the objects. GlobalData’s report on Konica Minolta gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Konica Minolta grant share with internet of things as a theme is 75% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Autonomous detection of concealed weapons at a distance by sensor fusion (Patent ID: US20230375736A1)
The patent filed by Konica Minolta Inc. describes an apparatus for distant detection of ferrous metallic objects using magnetic field sensors and a fingerprint processing system. The sensors measure the ambient magnetic field, and the processing system generates a magnetic fingerprint image of perturbations in the field, classifying it into different types of ferrous metallic objects. The sensors are positioned at a distance of at least 0.5 meters from the objects to be detected, ensuring accurate detection.
Additionally, the apparatus includes a magnetic sensor array with sensors arranged in rows and columns, each orthogonal to the other. The sensors are anisotropic magnetoresistance sensors with a sensitivity of 10 nanoTesla, capable of measuring small perturbations in the magnetic field. The method involves training a magnetic fingerprint image classifier using labeled training data, including artificially-generated and empirically-measured fingerprint images, to accurately classify different types of ferrous metallic objects. The patent also covers a non-transitory computer-readable medium storing program code for distant detection, emphasizing the separation distance of the sensors from the metallic objects and the use of a magnetic sensor array for efficient detection.
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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.
