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    • 2. 发明授权
    • Video safety detector with shadow elimination
    • 视频安全检测器,具有阴影消除
    • US06469734B1
    • 2002-10-22
    • US09563010
    • 2000-04-29
    • Sanjay NichaniRobert WolffWilliam SilverDavid A. Schatz
    • Sanjay NichaniRobert WolffWilliam SilverDavid A. Schatz
    • H04N718
    • H04N7/188
    • A two-dimensional (2-D) machine-vision safety-solution involving a method and apparatus for performing high-integrity, high efficiency machine vision. The machine vision safety solution digitally filters a configurable number of time-sequenced images of a viewed area to create a filtered image. A textured background is used as a static target and viewed under ambient light, or alternatively a texture is observed under IR light. An artificial texture can be created with a particularized pattern. Each new image is then compared to the previously created model and a pixel-oriented difference image is calculated. The difference image is then processed for segmentation features attributable to an intruder object. For segmentation results that exceed a predetermined threshold, an alarm condition is set.
    • 二维(2-D)机器视觉安全解决方案涉及一种执行高完整性,高效率机器视觉的方法和装置。 机器视觉安全解决方案数字地过滤可视化区域的可配置数量的时间序列图像以创建过滤图像。 纹理背景用作静态目标并在环境光下观察,或者在红外光下观察纹理。 可以使用特定图案创建人造纹理。 然后将每个新图像与先前创建的模型进行比较,并计算像素取向的差分图像。 然后对可归因于入侵者对象的分段特征处理差异图像。 对于超过预定阈值的分割结果,设置报警条件。
    • 3. 发明授权
    • Auto-setup of a video safety curtain system
    • 自动设置视频安全幕系统
    • US06829371B1
    • 2004-12-07
    • US09728503
    • 2000-11-30
    • Sanjay NichaniWilliam SilverDavid A. Schatz
    • Sanjay NichaniWilliam SilverDavid A. Schatz
    • G06K900
    • F16P3/142
    • A two-dimensional (2-D) machine-vision safety method and apparatus performs high-integrity, high efficiency machine vision. The system digitally filters a configurable number of time-sequenced camera images of a viewed area to create a filtered image. Objects within view in a training phase are detected and compared to objects detected in a runtime phase. Each new image is then compared to the previously created model and a pixel-oriented difference image is calculated. The difference image is then processed for segmentation features attributable to an intruder object. Alarm conditions are determined from threshold parameters related to location of the intruder objects. For segmentation results that exceed a predetermined threshold, an alarm condition is set. Setup parameters are automatically generated by analysis of distinctively marked physical boundaries in an image. Automatic tools assist in optimization of setup configurations, based on size and speed of intruding objects, system response time, and camera geometry.
    • 二维(2-D)机器视觉安全方法和装置执行高完整性,高效率的机器视觉。 该系统数字地过滤可观看区域的可配置数量的时间序列相机图像,以创建过滤图像。 在训练阶段的视图内的对象被检测并与运行时阶段中检测到的对象进行比较。 然后将每个新图像与先前创建的模型进行比较,并计算像素取向的差分图像。 然后对可归因于入侵者对象的分段特征处理差异图像。 报警条件由与入侵者对象位置相关的阈值参数确定。 对于超过预定阈值的分割结果,设置报警条件。 通过分析图像中明显标记的物理边界来自动生成设置参数。 自动工具有助于根据入侵物体的大小和速度,系统响应时间和摄像机几何优化设置配置。
    • 4. 发明授权
    • Video safety curtain
    • 视频安全幕
    • US06297844B1
    • 2001-10-02
    • US09448962
    • 1999-11-24
    • David A. SchatzSanjay NichaniRobert Joel Shillman
    • David A. SchatzSanjay NichaniRobert Joel Shillman
    • H04N1300
    • G06K9/00771G06T7/579G06T2207/10012G06T2207/10016H04N13/10H04N13/189H04N13/239H04N13/243H04N13/246H04N2013/0081
    • A three-dimensional (3-D) machine-vision safety-solution involving a method and apparatus for performing high-integrity, high efficiency machine vision. The machine vision safety solution converts two-dimensional video pixel data into 3-D point data that is used for characterization of specific 3-D objects, their orientation, and other object characteristics for any object, to provide a video safety “curtain.” A (3-D) machine-vision safety-solution apparatus includes an image acquisition device arranged to view a target scene stereoscopically and pass the resulting multiple video output signals to a computer for further processing. The multiple video output signals are connected to the input of a video processor adapted to accept the video signals. Video images from each camera are then synchronously sampled, captured, and stored in a memory associated with a general purpose processor. The digitized image in the form of pixel information can then be stored, manipulated and otherwise processed in accordance with capabilities of the vision system. The machine vision safety solution method and apparatus involves two phases of operation: training and run-time.
    • 一种三维(3-D)机器视觉安全解决方案,涉及一种执行高完整性,高效率机器视觉的方法和设备。 机器视觉安全解决方案将二维视频像素数据转换为用于表征特定3-D物体,其取向和任何物体的其他物体特征的3-D点数据,以提供视频安全“幕”。 一种(3-D)机器视觉安全解决方案,包括:图像采集装置,被配置为立体观看目标场景,并将得到的多个视频输出信号传递给计算机进行进一步处理。 多个视频输出信号连接到适于接收视频信号的视频处理器的输入端。 然后将来自每个摄像机的视频图像同步采样,捕获并存储在与通用处理器相关联的存储器中。 然后可以根据视觉系统的能力存储,操纵和以其他方式处理像素信息形式的数字化图像。 机器视觉安全解决方案和设备涉及两个阶段的运行:训练和运行时间。