Hon Hai Precision Industry had three patents in big data during Q4 2023. The patent filed by Hon Hai Precision Industry Co Ltd in Q4 2023 describes a method, device, and computer readable medium for detecting labels on curved containers. It involves obtaining an image of the label, reference points, width of the container, position data of the label, determining rotation of the container, predicting width based on position data, and determining label offset. GlobalData’s report on Hon Hai Precision Industry gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Hon Hai Precision Industry grant share with big data as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method, device, and non-transitory computer readable medium for detecting label on curved container (Patent ID: US20230368420A1)
The patent filed by Hon Hai Precision Industry Co Ltd describes a method, device, and computer-readable medium for detecting labels on curved containers. The method involves obtaining an image of the label on the container, identifying reference points, determining container rotation based on width measurements, predicting a second width, and assessing label offset. The device includes a processor and memory to execute the method, while the computer-readable medium stores the program instructions for detection. The process involves comparing widths and positions to determine rotation and offset, ensuring accurate label detection on curved surfaces.
The method and device utilize reference points, width measurements, and position data to detect label orientation and offset on curved containers. By analyzing differences in widths and positions, rotation and offset of the label are determined, ensuring precise detection. The system can predict container rotation, calculate second width, and assess label offset, providing a comprehensive solution for detecting labels on curved surfaces with accuracy and efficiency. The technology offers a systematic approach to label detection, enhancing quality control processes in manufacturing and packaging industries.
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