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    • 9. 发明公开
    • Inspection system and method
    • Inspektionssystem und -Verfahren
    • EP1051037A2
    • 2000-11-08
    • EP00109509.0
    • 2000-05-04
    • Everest-VIT, Inc. (a New Jersey Corporation)
    • Drost, Jeffrey DavidMooney, David JohnSalvati, Jon Robert
    • H04N7/18
    • E03F7/12G01N21/954H04N7/183
    • A system comprises: (a) an imaging system having an imaging device for transmitting an electrical signal corresponding to an area being imaged, and magnification functionality adapted to magnify the imaged area; (b) a portable support system for supporting the imaging system having a power supply for supplying power to the imaging system, at least one controller for controlling the zooming functionality of the imaging device, and an image output device; and (c) a positioning system for positioning the imaging system independently of the support system; and a method of using the same which comprising: (a) positioning the imaging system independently of the support system such that a target area is in the field of view of said imaging system while at a first magnification level; (b) imaging the area at a second magnification level greater than the first magnification level; and (c) outputting an image of the area.
    • 一种系统包括:(a)成像系统,其具有用于发送对应于被成像区域的电信号的成像装置和适于放大成像区域的放大功能; (b)便携式支持系统,用于支持具有用于向成像系统供电的电源的成像系统,用于控制成像装置的变焦功能的至少一个控制器和图像输出装置; 和(c)用于独立于支撑系统定位成像系统的定位系统; 及其使用方法,其特征在于:(a)独立于支撑系统定位成像系统,使得目标区域处于第一放大级别时在所述成像系统的视场内; (b)以大于第一放大级别的第二放大级别成像该区域; 和(c)输出该区域的图像。
    • 10. 发明专利
    • DE112004000472T5
    • 2006-03-09
    • DE112004000472
    • 2004-03-15
    • EVEREST VIT INC
    • KARPEN THOMAS WBENDALL CALRK ASALVATI JOHN R
    • G01N21/88G01N21/95G06T7/00
    • The system automatically performs analysis on images from a remote video inspection apparatus to provide an operator with an indication of areas that are potentially out of specification, or which require more detailed analysis by the operator. Pattern recognition algorithms are applied to sequential images to search for anomalies or defects in the images. The search area is initially limited to edges of the item being inspected where the probability of defects is much higher. To reduce the processing requirements and probability of false detection, the search area is narrowed to a limited field of view and depth. Defects such as dents and small cracks are detected using stereo measurement techniques or by projecting a known supplementary image into the defect. These techniques are used to provide an image disparity map. Using known triangulation algorithms, this map provides depth and distance information to the processing system.