Neural network solder paste inspection system
    1.
    发明授权
    Neural network solder paste inspection system 失效
    神经网络焊膏检测系统

    公开(公告)号:US5751910A

    公开(公告)日:1998-05-12

    申请号:US447282

    申请日:1995-05-22

    CPC分类号: G06N3/0436 Y10S706/912

    摘要: A solder paste brick inspection and physical quality scoring system 10 employs a neural network 70 trained with a fuzzified output vector. An image of solder paste bricks 64 on a printed circuit board 12 is acquired by a CCD camera 30. Values of a predetermined set of brick metrics are extracted from the image by a computer 28 and used as a crisp input vector to trained neural network 70. A defuzzifier 76 converts a fuzzy output vector from neural network 70 into a crisp quality score output which can be used for monitoring and process control.

    摘要翻译: 焊膏砖检查和物理质量评分系统10采用用模糊化输出向量训练的神经网络70。 通过CCD摄像机30获取印刷电路板12上的焊膏砖64的图像。计算机28从图像中提取预定的一组砖尺度的值,并将其用作训练神经网络70的清晰输入向量 解模糊器76将来自神经网络70的模糊输出向量转换成可用于监视和过程控制的清晰质量得分输出。

    Neural network optical character recognition system and method for
classifying characters in a moving web
    2.
    发明授权
    Neural network optical character recognition system and method for classifying characters in a moving web 失效
    神经网络光学字符识别系统和移动网络中的字符分类方法

    公开(公告)号:US5712922A

    公开(公告)日:1998-01-27

    申请号:US340270

    申请日:1994-11-15

    摘要: A neural network based optical character recognition technique is presented for identifying characters in a moving web. Image acquisition means defines an imaging window through which the moving web passes such that the characters printed thereon can be imaged. Classification data is extracted and accumulated for each printed web character passing through the imaging window. A light source provides transmissive illumination of the web as it is being imaged. A neural network accelerator is coupled to the image acquisition means for intelligent processing of the accumulated classification data to produce therefrom printed character classification information indicative of each corresponding character imaged. A processor is coupled to the accelerator for converting the classification information into the appropriate ASCII character code. The technique is particularly useful for reading dot-matrix-type characters on a noisy, semi-transparent background at fast real-time rates. A neural network algorithm based recognition method is also described.

    摘要翻译: 提出了一种基于神经网络的光学字符识别技术,用于识别移动网络中的字符。 图像获取装置定义一个成像窗口,移动的网通过该窗口,使得印刷在其上的字符能被成像。 为通过成像窗口的每个打印的网页字符提取和累积分类数据。 光源在成像时提供幅材的透射照明。 神经网络加速器耦合到图像获取装置,用于对累积的分类数据进行智能处理,从而产生指示每个相应字符被成像的印刷字符分类信息。 处理器耦合到加速器,用于将分类信息转换成适当的ASCII字符代码。 该技术对于以高速实时速率在嘈杂,半透明背景上读取点阵型字符特别有用。 还描述了基于神经网络算法的识别方法。

    High speed segmented neural network and fabrication method
    3.
    发明授权
    High speed segmented neural network and fabrication method 失效
    高速分段神经网络及其制作方法

    公开(公告)号:US5586223A

    公开(公告)日:1996-12-17

    申请号:US389550

    申请日:1995-02-15

    CPC分类号: G06N3/0454 G06N3/063

    摘要: A high speed, feed forward, segmented neural network and fabrication technique are described. The segmented network includes a plurality of network layers stacked in an ascending pyramid fashion. The network layers are structured with a plurality of subnetworks, and within each subnetwork exists a plurality of nodes structured in a fully interconnected and/or partially interconnected layered neural network arrangement. The inputs and outputs of each subnetwork are one bit digital values constrained to `0` or `1`, while any number of nodes with any number of layers may be modeled for each subnetwork. Each subnetwork is independent of all other subnetworks in a given network layer, and thus, each network layer is segmented. In hardware implementation, each subnetwork comprises a simple memory device, such as a RAM or PROM look-up table. The speed of the neural network system is high and largely dictated by the access time of the memory devices used.

    摘要翻译: 描述了高速,前馈,分段神经网络和制造技术。 分段网络包括以上升金字塔方式堆叠的多个网络层。 网络层由多个子网构成,并且在每个子网内存在以完全互连和/或部分互连的分层神经网络布置构造的多个节点。 每个子网络的输入和输出是被限制为“0”或“1”的一位数字值,而任何数量的具有任何层数的节点可以为每个子网建模。 每个子网独立于给定网络层中的所有其他子网,因此每个网络层被分段。 在硬件实现中,每个子网包括诸如RAM或PROM查找表之类的简单存储器件。 神经网络系统的速度很高,主要由使用的存储器件的访问时间决定。

    Non-impact printer apparatus and method for recording on a moving medium
    4.
    发明授权
    Non-impact printer apparatus and method for recording on a moving medium 失效
    用于在移动介质上记录的无冲击打印机装置和方法

    公开(公告)号:US5294942A

    公开(公告)日:1994-03-15

    申请号:US733478

    申请日:1991-07-22

    IPC分类号: G06K15/12 H04N1/40 A41J2/45

    摘要: A non-impact printer apparatus and method for recording on a medium that is moving at a variable rate. A plurality of recording elements arranged transverse to movement of the medium records respective pixels. Each pixel is formed by enabling each recording element a plurality of times during a pixel recording period. To maintain uniformity in pixel recording a duration for recording a sub-pixel and the number of sub-pixels per pixel are adjusted in accordance with the speed of the recording medium. The sum of the sub-pixel recording durations during a pixel recording period comprises the pixel exposure time.

    摘要翻译: 一种用于在以可变速率移动的介质上记录的无冲击打印机装置和方法。 与介质的移动横向排列的多个记录元件记录各个像素。 每个像素通过在像素记录周期期间使每个记录元件多次来形成。 为了保持像素记录中的均匀性,用于记录子像素的持续时间,并且根据记录介质的速度来调整每像素的子像素的数量。 在像素记录周期期间的子像素记录持续时间的总和包括像素曝光时间。