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    • 6. 发明授权
    • Photoreceptor motion quality estimation using multiple sampling intervals
    • 使用多个采样间隔的光感受器运动质量估计
    • US08599435B2
    • 2013-12-03
    • US12617117
    • 2009-11-12
    • Peter PaulClaude S. Fillion
    • Peter PaulClaude S. Fillion
    • G06F15/00
    • G03G15/5037G03G15/5033G03G15/5062G03G2215/00075
    • What is disclosed is a novel system and method for determining printer component velocity variations by analyzing multiple page test patterns. A test pattern, such as ladder chart targets, is produced that extends across multiple pages. Corresponding page sync signals are recorded and used to maintain phase coherence when analyzing scanned images associated with the multiple pages. An algorithm determines the ladder rung positions and the average photoreceptor velocity between each ladder rung on each scanned image for each page. Interpolation is used for proper phase alignment of the velocity data that spans multiple pages. The long assembly of phase coherent velocity data is then analyzed in one embodiment to determine its frequency content and to estimate the photoreceptor motion quality error sources. Based upon these estimated error sources, a trouble condition or pending maintenance problem with the printer is able to be indentified.
    • 公开的是通过分析多页测试图案来确定打印机部件速度变化的新型系统和方法。 产生了跨越多个页面的测试模式,例如梯形图目标。 当分析与多页相关联的扫描图像时,相应的页同步信号被记录并用于维持相位相干性。 算法确定梯形梯级位置以及每个梯形图梯度在每页扫描图像上的平均感光体速度。 插值用于跨越多页的速度数据的正确相位对齐。 然后在一个实施例中分析相位相干速度数据的长组件以确定其频率含量并估计感光体运动质量误差源。 基于这些估计的误差源,可以识别打印机的故障状况或待处理的维护问题。
    • 7. 发明授权
    • Method for automatic license plate recognition using adaptive feature set
    • 使用自适应特征集自动车牌识别的方法
    • US08447112B2
    • 2013-05-21
    • US12971643
    • 2010-12-17
    • Peter PaulAaron Michael BurryWilliam J. HannawayClaude S. Fillion
    • Peter PaulAaron Michael BurryWilliam J. HannawayClaude S. Fillion
    • G06K9/18G06K9/00
    • G06K9/00G06K2209/15
    • A method for determining a confidence level to be used in identifying a vehicle. The method includes receiving a vehicle image, extracting a license plate image from the at least one vehicle image, determining a license plate number and associated confidence level based upon the license plate image, and comparing the associated confidence level against a confidence threshold. If the associated confidence level is below the confidence threshold, the method further includes extracting auxiliary data from the at least one vehicle image, corresponding the extracted auxiliary data and a set of stored auxiliary data, and updating the associated confidence level to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data.
    • 一种用于确定用于识别车辆的可信度水平的方法。 所述方法包括接收车辆图像,从所述至少一个车辆图像提取车牌图像,基于所述车牌图像来确定车牌号码和相关联的置信度,以及将所述相关联的可信度与置信阈值进行比较。 如果相关联的置信水平低于置信度阈值,则该方法还包括从所述至少一个车辆图像提取辅助数据,对应于所提取的辅助数据和一组存储的辅助数据,以及更新相关联的置信水平以产生更新的置信度 基于所提取的辅助数据和所存储的辅助数据的集合的对应关系。
    • 8. 发明申请
    • COMPUTER-BASED REUSABLE BIDIRECTIONAL MEDICAL ADHERENCE SYSTEM AND METHOD FOR PERSONALIZED MEDICATION PACKAGING
    • 基于计算机的可重复使用的双向医疗辅助系统和用于个性化药物包装的方法
    • US20140039445A1
    • 2014-02-06
    • US13567630
    • 2012-08-06
    • Paul R. AustinWendell Lewis KiblerClaude S. Fillion
    • Paul R. AustinWendell Lewis KiblerClaude S. Fillion
    • A61J1/18
    • A61J7/0084A61J1/035A61J2200/30G06F19/3462
    • A computer-based system for implementing and monitoring a medication regimen, including a medication package and a computer-based unit. The package includes a base including spaces for receiving a medication, a sheet of material including respective portions sealing the spaces with respect to the base, and a respective electrical circuit associated with each portion. The computer-based unit includes a memory element to store computer readable instructions and a medication regimen, formulated by a medical practitioner or pharmacist, for the medication, a processor; and a wireless transmitter. The computer-based unit is attachable to the medication package or can wirelessly communicate with the medication package. The processor executes the computer readable instructions to: monitor the electrical circuits to detect when portions are ruptured; and wirelessly transmit, using the wireless transmitter, a compliance message for receipt by at least one computer, the compliance message indicating whether a portion has been ruptured.
    • 用于实施和监测药物治疗方案的基于计算机的系统,包括药物包装和基于计算机的单元。 该包装包括一个包括用于接收药物的空间的基座,包括相对于基座密封空间的相应部分的材料片以及与每个部分相关联的相应的电路。 基于计算机的单元包括用于存储用于药物的计算机可读指令和由医生或药剂师制定的药物治疗方案的存储元件,处理器; 和无线发射机。 基于计算机的单元可附接到药物包装,或者可以与药物包装无线通信。 处理器执行计算机可读指令,以便:监视电路以检测何时部分破裂; 并且使用所述无线发射机无线地发送用于由至少一台计算机接收的符合性消息,所述遵从消息指示部分是否已经破裂。
    • 10. 发明授权
    • Object based adaptive document resizing
    • 基于对象的自适应文档调整大小
    • US08423900B2
    • 2013-04-16
    • US12544561
    • 2009-08-20
    • Claude S. FillionVishal MongaZhigang FanRamesh Nagarajan
    • Claude S. FillionVishal MongaZhigang FanRamesh Nagarajan
    • G06F3/00G06F3/14
    • G06T11/60G06K9/00456G06T2207/30176
    • What is disclosed is a resizing method that utilizes segmentation information to classify objects found within a document and then selects the most appropriate resizing technique for each identified object. The present method employs readily available document parsers to reliably extract objects. e.g. text, background, images, graphics, etc., which compose the document. Information obtained from a document parser is utilized to identify the document components for classification. The extracted objects are then classified according to their object type. Each of classified objects are then resized using a resizing technique having been pre-selected for the object type based on their respective abilities to resize certain types of document content over other resizing techniques. The present method advantageously extends smart or content-based scaling and is especially useful for N-up or variable-information printing. The present method finds its intended uses in enhancing N-up and handout options currently provided in a variety of print-drivers.
    • 所公开的是一种调整大小的方法,其利用分段信息对在文档中找到的对象进行分类,然后为每个识别的对象选择最合适的调整大小的技术。 本方法使用容易获得的文档解析器来可靠地提取对象。 例如 文本,背景,图像,图形等等。 从文档解析器获得的信息用于识别用于分类的文档组件。 然后将提取的对象根据其对象类型进行分类。 然后,使用已经针对对象类型预先选择的调整大小的技术来调整每个分类对象的大小,这些大小基于它们各自的能力,以便通过其他大小调整技术调整某些类型的文档内容的大小。 本方法有利地扩展智能或基于内容的缩放,并且对于N上或可变信息打印特别有用。 本方法用于增强目前在各种打印驱动程序中提供的N-up和Handout选项。