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    • 2. 发明授权
    • Position location and tracking method and system employing low frequency radio signal processing
    • 位置定位和采用低频无线电信号处理的跟踪方法和系统
    • US06720921B2
    • 2004-04-13
    • US10077326
    • 2002-02-15
    • Allen E. Ripingill, Jr.David A. Robinson
    • Allen E. Ripingill, Jr.David A. Robinson
    • G01S302
    • G01S5/0247G01S3/30
    • A position location system adapted for Military Operations in Urbanized Terrain (MOUT) training exercises that equips a player with a magnetic sensor for detecting a low frequency (LF) magnetic field from a plurality of stationary antennas. The distance between the player-borne sensor and a stationary antenna is proportional to the logarithm of the magnetic field intensity because the player remains within the “near field” of the stationary antenna. With scheduled transmissions from six stationary antennas, the position and angular orientation of a player bearing a three-axis magnetic field sensor may be resolved in three-dimensions to within one foot (30 cm). The LF magnetic field intensity is generally unaffected by structural obstructions or multipath distortion. The stationary antennas and transmitters may be permanently installed at little expense in any urban structure so that sensor-equipped emergency workers may be located and tracked within the structure during emergency fire and rescue operations.
    • 一种适用于城市地形军事行动(MOUT)训练的位置定位系统,其为玩家提供用于检测来自多个固定天线的低频(LF)磁场的磁传感器。 玩家传感器和固定天线之间的距离与磁场强度的对数成比例,因为玩家保持在固定天线的“近场”内。 利用来自六个固定天线的调度传输,具有三轴磁场传感器的播放器的位置和角度方向可以三维地分辨到一英尺(30cm)内。 LF磁场强度通常不受结构性障碍物或多径失真的影响。 固定式天线和发射机可以在任何城市结构中以一小笔费用永久地安装,使得在应急消防和救援行动期间可以在结构内定位和跟踪传感器装备的紧急工作人员。
    • 3. 发明授权
    • Infrared laser transmitter alignment verifier and targeting system
    • US06473980B2
    • 2002-11-05
    • US09727809
    • 2000-11-30
    • Allen E. Ripingill, Jr.John B. RoesDavid A. Robinson
    • Allen E. Ripingill, Jr.John B. RoesDavid A. Robinson
    • G01B100
    • F41J5/02Y10S33/21
    • A relatively inexpensive system is provided for detecting and visually indicating the relative location of the impact on a target of an invisible infrared laser beam emitted from a small arms transmitter (SAT) mounted on a combat rifle. A plurality of red LEDs are mounted on a planar PCB that serves as the target and are arranged along X and Y axes corresponding to azimuth and elevation. A plurality of photo-diodes are mounted on the PCB for generating output signals when struck by the laser beam. The photo-diodes are clustered around the intersection of the X and Y axes. A circuit mounted on a reverse side of the PCB is connected to the plurality of photo-diodes for receiving their output signals. The circuit energizes one or more of the red LEDs to provide a pattern of illumination of the LEDs that represents azimuth and elevation deviation of the laser hit from the intersection of the axes when the SAT is fired with the intersection of the axes in the iron sights of the rifle. The LEDs and photo-diodes are spatially arranged on the PCB to provide an effective magnification of a variation in azimuth and elevation of the location of the impact of the laser beam relative to the intersection of the axes. The circuit also increases the duration of the illumination of the LEDs compared to short duration laser pulses to increase visibility to the soldier. A pair of laser diodes can be mounted on the PCB so that visible red light beams emitted therefrom will criss-cross at the appropriate distance and overlap on the soldier's chest. This tells the soldier to fire the SAT-equipped rifle at the target at this location.
    • 4. 发明授权
    • Helmet mount for night vision device
    • 头盔用于夜视装置
    • US06472776B1
    • 2002-10-29
    • US09538828
    • 2000-03-30
    • Ronald R. SotoJonathan R. PrendergastBrian K. CrawfordDavid A. Robinson
    • Ronald R. SotoJonathan R. PrendergastBrian K. CrawfordDavid A. Robinson
    • G11C1302
    • A42B3/04G02B23/125
    • A flip-up helmet mount for a night vision device with a goggle horn for attachment to the helmet mount is disclosed. The flip-up helmet mount includes an adjustable socket assembly for mounting goggle horns with varying dimensions therein, and an improved automatic shutdown assembly that provides for reliable shutdown of the night vision device when not operational. Additionally, the flip-up helmet mount includes a position adjustment assembly for adjusting the position of the night vision device between a use and a stowed position, a tilt adjustment assembly for adjusting the tilt angle of the night vision device relative to a user's eyes, and a focal adjustment assembly for adjusting the focus or location of the night vision device relative to the user's eyes. The assemblies provided for position, tilt, and focus adjustment all permit one-handed adjustment of these features of the flip-up helmet mount.
    • 公开了一种用于具有用于附接到头盔安装座的护目镜的夜视装置的翻盖式头盔安装座。 翻盖头盔座包括用于安装其中具有不同尺寸的护目镜角的可调插座组件,以及改进的自动关机组件,其在不操作时提供夜视装置的可靠关闭。 另外,上述头盔安装座还包括位置调节组件,用于调节使用和收起位置之间的夜视装置的位置,用于调节夜视装置相对于用户眼睛的倾斜角度的倾斜调节组件, 以及用于调整夜视装置相对于用户眼睛的焦点或位置的焦点调节组件。 提供用于位置,倾斜和聚焦调节的组件均允许单手调节凸轮式头盔安装座的这些特征。
    • 5. 发明授权
    • Method and system for detecting a flaw in a sample image
    • 用于检测样本图像中的缺陷的方法和系统
    • US06295374B1
    • 2001-09-25
    • US09056049
    • 1998-04-06
    • David A. RobinsonAnthony R. Bland
    • David A. RobinsonAnthony R. Bland
    • G06K968
    • G06K9/6202G06K9/036G06T7/001G06T2207/10008G06T2207/30144
    • A method and system are described for use at a machine vision station to correctly identify flaws within a sample image by means of flexible template image comparison where the template image and a sample image suffer from a relative geometrical distortion. The method and system use the following iterative approach: 1) generate the template image; 2) register the sample image to the template image; 3) undertake an absolute image subtraction process; 4) identify all regions of image difference; 5) create sub-images of both the template and the sample images in the region of detected error; 6) repeat the registration step 2) using the sub-images; 7) undertake the absolute subtraction process on each of the sub-images; and 8) either identify the resulting differences as flaws or go to step 5) using even smaller sub-images. The invention has particular utility in the screen printing industry as well as other industries.
    • 描述了一种在机器视觉站使用的方法和系统,以通过柔性模板图像比较正确地识别样本图像内的瑕疵,其中模板图像和样本图像遭受相对几何失真。 该方法和系统采用以下迭代方法:1)生成模板图像; 2)将样本图像注册到模板图像; 3)进行绝对图像减法处理; 4)识别所有区域的图像差异; 5)在检测到的错误区域中创建模板和样本图像的子图像; 6)重复注册步骤2)使用子图像; 7)对每个子图像进行绝对减法处理; 和8)或者识别所产生的差异作为缺陷或者转到步骤5)使用更小的子图像。 本发明在丝网印刷行业以及其他行业中具有特殊的用途。
    • 7. 发明授权
    • Method and system for identifying an image feature and method and system for determining an optimal color space for use therein
    • 用于识别图像特征的方法和系统以及用于确定用于其中的最佳颜色空间的方法和系统
    • US06226399B1
    • 2001-05-01
    • US09321284
    • 1999-05-27
    • David A Robinson
    • David A Robinson
    • G06K900
    • G06K9/2018G01J3/462G01J3/50G06T7/11G06T2207/10024
    • A method and system are provided for identifying an image feature of an object. The system preferably includes a machine vision system for capturing an original color image of the object in a first color space defined by a first set of color axes to obtain a first set of image data. The first set of image data is transformed within the machine vision system to a second set of image data in an optimal color space having an optimal set of color axes which define an optimal direction wherein the amount of inter axis correlation of the second set of image data is minimized. The machine vision system then manipulates the second set of image data to identify the image feature. Color differences existing in the original color image are amplified and separation between chromatically different regions of the original color image are maximized in the optimal color space. Preferably, the optimal set of color axes are three orthogonal axes. The first set of image data is rotated to match the optimal direction. In this way, the first set of image data is reorganized along the optimal set of color axes. The machine vision system can also be utilized to capture a color image of an ideal object in the first color space to obtain an ideal set of image data and to compute the optimal set of color axes from the ideal set of image data wherein the optimal set of color axes is object specific.
    • 提供了一种用于识别对象的图像特征的方法和系统。 该系统优选地包括机器视觉系统,用于在由第一组颜色轴定义的第一颜色空间中捕获对象的原始彩色图像,以获得第一组图像数据。 将第一组图像数据在机器视觉系统内变换为具有定义最佳方向的最佳颜色轴组的最佳色彩空间中的第二组图像数据,其中第二组图像的轴间相关量 数据最小化。 机器视觉系统然后操纵第二组图像数据以识别图像特征。 存在于原始彩色图像中的色差被放大,原始彩色图像的色度不同区域之间的分离在最佳色彩空间中最大化。 优选地,最佳颜色轴组是三个正交轴。 第一组图像数据旋转以匹配最佳方向。 以这种方式,第一组图像数据沿着最佳颜色轴组重新组织。 机器视觉系统还可以用于捕获第一颜色空间中的理想对象的彩色图像,以获得理想的图像数据集合,并且从理想的图像数据集合计算最佳的一组色轴,其中最佳集合 颜色轴是对象特定的。
    • 8. 发明授权
    • Method and system for automatically calibrating a color-based machine
vision system
    • 自动校准基于颜色的机器视觉系统的方法和系统
    • US6016161A
    • 2000-01-18
    • US53595
    • 1998-04-01
    • David A. Robinson
    • David A. Robinson
    • G01J3/50G01J5/48G01J5/60G06T1/00H04N9/04H04N9/73H04N17/00H04N17/02
    • H04N9/735H04N17/002
    • A calibration algorithm is provided for calibrating a machine vision system including a color camera, a framegrabber and an illumination source wherein subsequently acquired images are processed on a pixel-by-pixel basis. After framegrabber offsets are measured to obtain initial or offset calibration data, the camera is pointed at a target monotone patch of known reflectance such as pure white and the camera outputs for red, green and blue are determined while observing the monotone patch to obtain spatial calibration data. The gain for each of the output channels of the color camera is automatically determined from the initial calibration data. Applying the three gain factors to a subsequent image on the pixel-by-pixel basis allows one to end up with a color-corrected image without incurring any time performance penalty. At any time during an inspection process, a small area of white reflectance can be observed. The resulting dynamic white calibration data is used to correct for any medium to long term temporal variation in imaging conditions.
    • 提供校准算法用于校准包括彩色相机,帧格局和照明源的机器视觉系统,其中随后获取的图像在逐像素的基础上被处理。 测量帧搜索器偏移量以获得初始或偏移校准数据后,摄像机将指向已知反射率的目标单调补丁(如纯白色),并在观察单色补片时确定红色,绿色和蓝色的摄像机输出,以获得空间校准 数据。 彩色摄像机的每个输出通道的增益从初始校准数据自动确定。 在逐个像素的基础上将三个增益因子应用于后续图像允许最终得到颜色校正图像,而不会导致任何时间性能损失。 在检查过程中的任何时间,可以观察到小面积的白色反射率。 所得到的动态白色校准数据用于校正成像条件中的任何中长期时间变化。
    • 9. 发明授权
    • Method and system for detecting errors in a sample image
    • 用于检测样本图像中的错误的方法和系统
    • US5969753A
    • 1999-10-19
    • US65973
    • 1998-04-24
    • David A. Robinson
    • David A. Robinson
    • G06T1/00G06K9/62G06T7/00H04N7/18
    • G06T7/001G06K9/6255
    • A method and system are described for use at a machine vision station to correctly identify errors within a sample image of an object by means of a probability image where a value of each pixel of the probability image is a probability. The probability image is created from a mean template image and a standard deviation image, both of which are created from a plurality of reference images of the object. The probability image is processed to detect the errors in the sample image independent of the values of the pixels which make up the sample image. Two different techniques are described for creating the probability image utilizing mean template, sample and standard deviation pixel values.
    • 描述了一种在机器视觉站上使用的方法和系统,通过概率图像中的概率图像的每个像素的值是概率来正确地识别对象的样本图像内的错误。 从平均模板图像和标准偏差图像创建概率图像,两者都是从对象的多个参考图像创建的。 处理概率图像以独立于组成样本图像的像素的值来检测样本图像中的误差。 描述了使用平均模板,样本和标准偏差像素值来创建概率图像的两种不同技术。
    • 10. 发明授权
    • Method and system for automatically monitoring the colors of an object
at a vision station
    • 用于自动监视视觉站物体的颜色的方法和系统
    • US5764386A
    • 1998-06-09
    • US591027
    • 1996-01-25
    • David A. Robinson
    • David A. Robinson
    • H04N9/64H04N1/23H04N1/48H04N1/60H04N1/46G03F3/08G03F3/10
    • H04N1/6033
    • Color balance of a sample image is compared with a previously learned template image utilizing an appropriately programmed machine vision system including a color camera at a vision station. The sample image, preferably captured from a web scanner attached directly to an offset printing machine, is compared with a previously generated "known good" template image. This comparison process produces four correction factors which are the ratios between the amount of each of four colored inks in the template image to that in the sample image. The four colored inks may be cyan, magenta, yellow, and black inks but inks of other colors could also be used. These correction factors can either be presented to an operator to manually adjust the machine or else used in an automatic feedback loop of a controller of the machine, thereby maintaining consistent image quality.
    • 使用适当编程的机器视觉系统将样本图像的色彩平衡与先前学习的模板图像进行比较,所述机器视觉系统包括在视觉站处的彩色相机。 将优选地从直接附着在胶版印刷机上的卷筒纸扫描仪捕获的样品图像与先前生成的“已知良好”模板图像进行比较。 该比较过程产生四个校正因子,其是模板图像中的四种有色油墨中的每一种与样品图像中的每一种之间的比率。 四色油墨可以是青色,品红色,黄色和黑色油墨,但也可以使用其他颜色的油墨。 这些校正因子可以呈现给操作者来手动调节机器,或者在机器的控制器的自动反馈回路中使用,从而保持一致的图像质量。