Pick and place machine with workpiece motion inspection
    2.
    发明授权
    Pick and place machine with workpiece motion inspection 失效
    采用放置机器进行工件运动检查

    公开(公告)号:US07706595B2

    公开(公告)日:2010-04-27

    申请号:US10978687

    申请日:2004-11-01

    IPC分类号: G06K9/00

    CPC分类号: H05K13/0812

    摘要: Embodiments include measuring motion characteristics of the workpiece through the placement process. Since the component is placed on the workpiece with some force to ensure proper adhesion to the workpiece, some deflection of the workpiece is expected during the placement cycle. The placement force is adjusted to ensure that the component is safely placed into the solder paste or adhesive. Placement force is adjusted through a number of characteristics including: choice of spring tension in the nozzle; the length of the nozzle and the amount of over-travel into the board; the rigidity of the board and design; and the placement of the board support mechanisms. With proper adjustment of these characteristics and parameters, high quality placements onto the workpiece can be ensured.

    摘要翻译: 实施例包括通过放置过程测量工件的运动特性。 由于组件以一定的力放置在工件上,以确保与工件的适当粘合,所以在放置循环期间可以预期工件的一些挠曲。 调整放置力以确保组件安全地放入焊膏或粘合剂中。 放置力通过多种特性进行调整,包括:选择喷嘴中的弹簧张力; 喷嘴的长度和过度进​​入板的量; 板的刚性和设计; 以及电路板支撑机构的放置。 通过适当调整这些特性和参数,可以确保高品质的放置在工件上。

    Image analysis for pick and place machines with in situ component placement inspection
    3.
    发明授权
    Image analysis for pick and place machines with in situ component placement inspection 有权
    具有原位部件放置检查的拾放机的图像分析

    公开(公告)号:US07813559B2

    公开(公告)日:2010-10-12

    申请号:US11131926

    申请日:2005-05-18

    IPC分类号: G06K9/68

    摘要: The present invention includes a method of determining a location of a component on a workpiece. A before-placement standard image is acquired of an intended placement location on a standard workpiece. Then, a standard component is placed upon the standard workpiece and the placement is verified. An after-placement standard image is acquired and a standard difference image is created from the before and after standard images. Then, a before-placement test image is acquired of an intended placement location on the workpiece. A component is then placed upon the workpiece, and after-placement test image is acquired. A test difference image is created from the before and after test images. A first offset is calculated between the before standard difference image and the before test image. Then, the test difference is transformed based on the first offset to generate a difference test image (DTR) that is registered to the standard difference image. The standard difference image is correlated to the registered difference test image (DTR) to generate a registration offset indicative of placement efficacy.

    摘要翻译: 本发明包括确定部件在工件上的位置的方法。 在标准工件上获取预定的放置位置的放置前标准图像。 然后,将标准部件放置在标准工件上并验证放置。 获取后置标准图像,并且从标准图像之前和之后创建标准差分图像。 然后,获取在工件上的预期放置位置的放置前测试图像。 然后将部件放置在工件上,并且获取放置后测试图像。 测试差异图像是从前后测试图像创建的。 在之前的标准差图像和之前的测试图像之间计算第一偏移。 然后,基于第一偏移来变换测试差,以生成被登记到标准差分图像的差分测试图像(DTR)。 标准差图像与登记的差异检验图像(DTR)相关,以产生指示放置效力的登记偏移。

    Rotation and scale invariant image finder
    4.
    发明授权
    Rotation and scale invariant image finder 有权
    旋转和尺度不变图像检索器

    公开(公告)号:US06272247B1

    公开(公告)日:2001-08-07

    申请号:US09314730

    申请日:1999-05-18

    IPC分类号: G06K964

    CPC分类号: G06K9/6203 G06K9/6857

    摘要: A system for digital image recognition which combines sparse correlation with image pyramiding to reduce the number of pixels used in correlation provides effective recognition of a reference image template without exhaustive correlation of all pixels in the reference image template. An optimal sparse pixel set is selected from the pixels of the reference image template by correlating the reference image template against a search image scene which is to be searched. Such a sparse pixel set includes those pixels which are optimal in defining the correlation sensitive features of the reference image template. By terminating the accumulation of sparse pixels at an optimal point, performance is maximized without compromising accuracy of recognition. The resultant optimal sparse pixel set is then correlated against the pixels in the search image scene through a series of transformations to find a match of the reference image template within the search image scene.

    摘要翻译: 一种用于数字图像识别的系统,其将稀疏相关与图像金字塔组合以减少相关中使用的像素数量,从而有效地识别参考图像模板,而无需参考图像模板中所有像素的详尽相关。 通过将参考图像模板与要搜索的搜索图像场景相关联,从参考图像模板的像素中选择最佳稀疏像素集合。 这样的稀疏像素集合包括在定义参考图像模板的相关敏感特征中最佳的那些像素。 通过在最优点处终止稀疏像素的累积,最大化性能而不损害识别的准确性。 然后通过一系列变换将所得到的最佳稀疏像素集合与搜索图像场景中的像素相关,以找到搜索图像场景内的参考图像模板的匹配。