Toyo Seikan Group. has filed a patent for a conveyance system that includes a conveyance device, imaging device, and detection device. The system is designed to convey cylindrical containers while detecting any deviations from the predetermined posture using captured images. GlobalData’s report on Toyo Seikan Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Toyo Seikan Group, Fuel cell powered drones was a key innovation area identified from patents. Toyo Seikan Group's grant share as of January 2024 was 33%. Grant share is based on the ratio of number of grants to total number of patents.
Container posture detection system for conveyance devices
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The patent application (Publication Number: US20240017935A1) describes a conveyance system that includes a conveyance device, an imaging device, and a detection device. The conveyance device is designed to move containers in a specific direction while the imaging device captures images of the containers being conveyed. The detection device then uses these images to identify containers that do not have the correct posture among the group being conveyed.
Additionally, the conveyance system includes a rejection device and a control device. The rejection device is responsible for removing containers that do not meet the predetermined posture criteria, with the control device managing the operation of the rejection device based on the detection results. The rejection device can reject containers based on their position in the width direction, with the control device using information on the categorized posture of the containers to make decisions. The conveyance system also features a spraying device to apply fluid to the containers and a model implemented in the detection device that uses machine learning to determine the posture of the containers.
In summary, the conveyance system described in the patent application offers a sophisticated solution for efficiently handling containers with a bottomed cylindrical shape. By combining imaging technology, detection devices, rejection mechanisms, and machine learning models, the system can accurately identify and remove containers that do not meet the predetermined posture requirements, ensuring a smooth and reliable conveyance process.
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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.
