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公开(公告)号:US12277709B2
公开(公告)日:2025-04-15
申请号:US17535622
申请日:2021-11-25
Applicant: Wistron Corp.
Inventor: Wen Hsin Hu , Ji-Yi Yang , Zhe-Yu Lin , Hui Chi Hsieh , Yin Chi Lin , Chi Lun Huang
IPC: G06K9/00 , G06F18/23 , G06N3/08 , G06T7/00 , G06T7/11 , G06T7/62 , G06T7/73 , G06T7/80 , G06V10/22 , G06V10/75 , G06V10/94 , G16H30/40 , H04N17/00 , H04N23/63 , H04N23/80
Abstract: A wound-size measuring method for use in a portable electronic device is provided. The method includes the following steps: obtaining an input image via a camera device of the portable electronic device; using a CNN (convolutional neural network) model to recognize the input image, and selecting a part of the input image with the highest probability of containing a wound as an output wound image; and calculating an actual height and an actual width of the output wound image according to a lens-focal-length parameter reported by an operating system running on the portable electronic device, a plurality of reference calibration parameters corresponding to a pitch angle of the portable electronic device, and a pixel-height ratio and a pixel-width ratio of the output wound image.
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公开(公告)号:US11899752B2
公开(公告)日:2024-02-13
申请号:US17339762
申请日:2021-06-04
Applicant: Wistron Corp.
Inventor: Zhao-Yuan Lin , Zhe-Yu Lin
IPC: G06F18/214 , G06T7/11 , A01M99/00 , G06V10/25 , G06V10/22
CPC classification number: G06F18/214 , A01M99/00 , G06T7/11 , G06V10/25 , G06T2207/20084 , G06T2207/20221 , G06T2207/30188 , G06T2207/30242 , G06V10/225 , G06V2201/03
Abstract: An object counting system crops images into multiple split images. When a distance between at least one side of a bounding box being associated with a position of a first object in the first split image and at least one side of a bounding box being associated with a position of a second object in the second split image adjacent to the first split image is less than a tolerance value, the processor combines the adjacent first split image and the second split second split image into a merged image, so that the first object and the second object are merged into a merged object. A processor calculates a prediction number of objects based on the objects contained in these split images and the merged objects in the merged image. The object counting system automatically counts the number of bug eggs, to save manpower and provide an accurate count.
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