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    • 1. 发明申请
    • SYSTEM AND METHOD FOR ESTIMATING THE HEIGHT OF AN OBJECT USING TOMOSYNTHESIS-LIKE TECHNIQUES
    • 使用类似于类似技术估算对象高度的系统和方法
    • US20110193953A1
    • 2011-08-11
    • US12700764
    • 2010-02-05
    • Richard A. SonesCarl E. Sebeny
    • Richard A. SonesCarl E. Sebeny
    • G06K9/00H04N7/18
    • H04N7/18G06T7/571G06T2207/10112G06T2207/30108G06T2207/30141
    • Systems and methods to estimate the height profile of an object using tomosynthesis-like techniques. A plurality of raw images of an object to be characterized are acquired, where the plurality of raw images are representative of a plurality of spatial shifts of an imaging device relative to the object to be characterized. The raw images are processed to generate composite images, where each composite image corresponds to a unique image shift between spatially adjacent raw images. A volatility parameter value is calculated within a neighborhood of a same image pixel location for each composite image. The composite image having the largest volatility parameter value for the image pixel location is determined. A unique image shift, corresponding to the composite image having the largest volatility parameter value, is transformed into a height value representative of a height dimension of the image pixel location.
    • 使用层析法合成技术来估计物体的高度剖面的系统和方法。 获取要表征的对象的多个原始图像,其中多个原始图像表示成像装置相对于要表征的对象的多个空间位移。 处理原始图像以生成合成图像,其中每个合成图像对应于空间相邻原始图像之间的唯一图像偏移。 在每个合成图像的相同图像像素位置的邻域内计算波动率参数值。 确定具有图像像素位置的最大波动参数值的合成图像。 对应于具有最大波动参数值的合成图像的唯一图像偏移被转换成代表图像像素位置的高度尺寸的高度值。
    • 2. 发明授权
    • Machine for inspecting glass containers
    • 检查玻璃容器的机器
    • US07688437B2
    • 2010-03-30
    • US11799655
    • 2007-05-02
    • R. Dean HouckRichard A. SonesRichard D. DiehrAmir R. Novini
    • R. Dean HouckRichard A. SonesRichard D. DiehrAmir R. Novini
    • G01N21/00
    • G01N21/90G06T7/0004G06T2207/30108
    • A machine for distinguishing blisters from checks on the finish of a glass container. The center of each captured object in an array is determined by a controller which determines the object centers in a plurality of adjacent bands. The band having the most object centers is determined and the objects in the band having the most object centers are deleted from the rest of the bands. The control repeatedly determines the band of the rest of the bands having the most object centers and deletes the objects in the band of the rest of the bands having the most object centers from the remainder of the bands until the objects in each band are unique. The maximum separation of objects in each band is defined and checks will be differentiated from blisters based on this separation.
    • 一种用于区分水泡和玻璃容器完成检查的机器。 数组中每个捕获对象的中心由确定多个相邻频带中的对象中心的控制器确定。 确定具有最多对象中心的频带,并且从其余的频带中删除具有最多对象中心的频带中的对象。 控制重复地确定具有最多对象中心的其余频带的频带,并且从其余频带中删除具有最多对象中心的其余频带的频带中的对象,直到每个频带中的对象是唯一的。 定义每个条带中物体的最大间距,并根据这种分离将检查与泡罩区分开。
    • 6. 发明授权
    • Vision system and method for process monitoring
    • 视觉系统和过程监控方法
    • US07313270B2
    • 2007-12-25
    • US11054815
    • 2005-02-10
    • Richard A. Sones
    • Richard A. Sones
    • G06K9/62
    • G01J3/46G01J3/463G01N21/25G01N21/8806G01N21/8851G01N21/909G06K9/6255G06K9/6256G06K2209/19G06T7/001G06T2207/30164
    • A method and system to monitor randomly oriented objects on a process line are disclosed. A color camera is used initially to collect a set of training images from a set of training objects on a process line. The training images represent various random spatial orientations of the training objects with respect to the color camera. The training objects serve as the standard for the process. The training images are stored in a computer-based platform. The color camera is then used to capture images of monitored objects as the monitored objects pass by the color camera on the process line. The monitored objects have a random spatial orientation with respect to the color camera as the monitored objects pass through the field-of-view of the color camera. The captured images of the monitored objects are processed by the computer-based platform and compared to the training images in order to determine if certain characteristic parameters of the monitored objects have deviated from those same characteristic parameters of the training objects. If so, the process may be adjusted to correct for the deviations in order to bring the process back into tolerance.
    • 公开了一种在过程线上监视随机取向的对象的方法和系统。 最初使用彩色照相机从一组生产线上的训练对象收集一组训练图像。 训练图像表示训练对象相对于彩色摄像机的各种随机空间取向。 训练对象作为过程的标准。 训练图像存储在基于计算机的平台中。 然后,随着被监控对象通过彩色摄像机在处理线上,彩色摄像机用于捕获被监视对象的图像。 被监视物体相对于彩色照相机具有随机的空间取向,因为被监视物体通过彩色照相机的视场。 受监控对象的拍摄图像由基于计算机的平台处理,并与训练图像进行比较,以确定被监视对象的某些特征参数是否偏离训练对象的相同特征参数。 如果是这样,可以调整该过程以校正偏差,以使过程恢复到公差。
    • 10. 发明申请
    • SYSTEM AND METHOD FOR DIMENSIONING OBJECTS USING STEREOSCOPIC IMAGING
    • 使用立体成像尺寸对象的系统和方法
    • US20110188741A1
    • 2011-08-04
    • US13082702
    • 2011-04-08
    • Richard A. SonesKris BrumbaughRyan Wilson
    • Richard A. SonesKris BrumbaughRyan Wilson
    • G06K9/00
    • G06K9/00
    • A method and configuration to estimate the dimensions of a cuboid. The configuration includes two image acquisition units offset from each other with at least one of the units positioned at a defined acquisition height above a background surface. Image processing techniques are used to extract a perimeter of a top surface of the cuboid, placed on the background surface, from pairs of acquired images. A height estimation technique, which corrects for spatial drift of the configuration, is used to calculate an absolute height of the cuboid. The absolute height of the cuboid is used, along with the extracted perimeter of the top surface of the cuboid, to calculate an absolute length and an absolute width of the cuboid. The height, length, and width may be used to calculate an estimated volume of the cuboid.
    • 估计长方体尺寸的方法和配置。 该配置包括彼此偏移的两个图像采集单元,其中至少一个单元位于背景表面上方的限定采集高度。 图像处理技术用于从成对的获取图像中提取放置在背景表面上的长方体顶表面的周长。 用于校正配置的空间漂移的高度估计技术用于计算长方体的绝对高度。 使用长方体的绝对高度以及长方体顶面的提取周长来计算长方体的绝对长度和绝对宽度。 高度,长度和宽度可用于计算长方体的估计体积。