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    • 71. 发明申请
    • Selectable Aiming Pattern for an Imaging-Based Bar Code Reader
    • 基于影像的条形码读取器的可选瞄准图案
    • US20090057413A1
    • 2009-03-05
    • US11848638
    • 2007-08-31
    • Igor VinogradovMiroslav Trajkovic
    • Igor VinogradovMiroslav Trajkovic
    • G02B26/10G06K7/10
    • G02B27/20G06K2207/1011
    • An aiming pattern assembly (60) for an imaging-based bar code reader (10) including: a light source assembly (62) generating focused light; a pattern shaping assembly (66) receiving focused light from the light source assembly (62) and including a first area (66a) and a non-overlapping second area (66b), focused light passing through the first area (66a) creating a first aiming pattern (P1) projected toward a field of view (FV) and passing through the second area (66b) creating a second aiming pattern (P2) projected toward the field of view (FV); and a pattern selection assembly (68) receiving the first and second aiming patterns (P1, P2) and passing at least one of the first and second aiming patterns (P1, P2).
    • 一种用于基于成像的条形码读取器(10)的瞄准图案组件(60),包括:产生聚焦光的光源组件(62) 接收来自光源组件(62)的聚焦光并且包括第一区域(66a)和不重叠的第二区域(66b)的图案整形组件(66),聚焦的光穿过第一区域(66a),产生第一 朝向视场(FV)投影并穿过第二区域(66b)的瞄准图案(P1)产生朝向视野(FV)投射的第二瞄准图案(P2); 以及接收第一和第二瞄准图案(P1,P2)并且通过第一和第二瞄准图案(P1,P2)中的至少一个的图案选择组件(68)。
    • 73. 发明申请
    • System and Method for Selectively Activating Biometric Sensors
    • 选择性激活生物识别传感器的系统和方法
    • US20080122577A1
    • 2008-05-29
    • US10556247
    • 2004-05-06
    • Srinivas GuttaVasanth PhilominMiroslav Trajkovic
    • Srinivas GuttaVasanth PhilominMiroslav Trajkovic
    • G06F7/04
    • G07C9/00158G06F21/32G07C9/00166
    • A system and method is provided for selectively activating biometric sensors (102, 104, 106) to authenticate the identity of an individual while conserving system resources. A biometric system has at least two tiers of sensors, first (102) and second tier sensors (104, 106), where the first tier sensors (102) are characteristically less sophisticated and less expensive to operate than the second tier sensors (104, 106). One or more of the second tier sensors (104, 106) are activated only after a user's biometric is successfully or unsuccessfully verified by one of the first tier sensors (102). Alternatively, the second tier sensors (104, 106) are activated in response to a user requesting a particular level of service or in response to an environmental condition. Alternatively, only those sensors are turned on which are compatible with a user's biometric profile.
    • 提供了一种系统和方法,用于选择性地激活生物测定传感器(102,104,106)以在保护系统资源的同时认证个体的身份。 生物测定系统具有至少两层的传感器,第一层(102)和第二层传感器(104,106),其中第一层传感器(102)的性能不如第二层传感器(104,106)要复杂且成本低, 106)。 在第一层传感器(102)之一成功或不成功地验证用户的生物特征之后,仅激活第二层传感器(104,106)中的一个或多个。 或者,第二层传感器(104,106)响应于用户请求特定服务水平或响应于环境条件而被激活。 或者,仅打开与用户的生物特征相​​容的传感器。
    • 75. 发明申请
    • Mobile RFID reader system and method
    • 移动RFID阅读器系统及方法
    • US20070252676A1
    • 2007-11-01
    • US11413047
    • 2006-04-28
    • Dariusz MadejMiroslav Trajkovic
    • Dariusz MadejMiroslav Trajkovic
    • H04Q5/22
    • H04W4/029
    • Methods, systems, and apparatuses for identifying items carried by a mobile structure are described. At a first location of the mobile structure, a first radio frequency identification (RFID) read signal is directed to a load carried by the mobile structure to identify an initial set of RFID tags. At a subsequent location of the mobile structure, a subsequent read signal is directed to the load carried by the mobile structure to identify a subsequent set of RFID tags. The initial set of RFID tags and the subsequent set of RFID tags are compared to determine a set of RFID tags associated with the load.
    • 描述用于识别由移动结构承载的物品的方法,系统和装置。 在移动结构的第一位置,第一射频识别(RFID)读取信号被引导到由移动结构承载的负载以识别初始RFID标签组。 在移动结构的后续位置,随后的读取信号被引导到由移动结构承载的负载,以识别随后的一组RFID标签。 比较初始的RFID标签集和随后的RFID标签集,以确定与负载相关联的一组RFID标签。
    • 76. 发明授权
    • Method and system for automatically controlling a personalized networked environment
    • 自动控制个性化网络环境的方法和系统
    • US07113074B2
    • 2006-09-26
    • US09822452
    • 2001-03-30
    • Srinivas GuttaMiroslav TrajkovicAntonio J. Colmenarez
    • Srinivas GuttaMiroslav TrajkovicAntonio J. Colmenarez
    • G05B19/00G06F7/00G06K9/00G06T1/00H04B1/00
    • G07C9/00158G05B15/02G05B2219/2642
    • Using known methods of face recognition, appliances can be automatically initiated and/or adjusted as a user enters an environment, such as a home or a room. The environment is networked such that there is a communication link between a camera monitoring the entrance to the environment, a face recognition system, and the appliances. The method of automatically controlling a networked environment includes capturing a face image of an individual, storing the face image (i.e., in a memory), and associating at least one appliance setup to the face image. The method also includes comparing the face image to stored face images, retrieving the at least one appliance setup for a matched face image, and initiating the at least one appliance setup. An appliance setup controls turning on or off an appliance, such as an illumination source, a television, or a stereo.
    • 使用已知的面部识别方法,当用户进入诸如家庭或房间的环境时,可以自动启动和/或调整设备。 环境联网,使得在监视环境入口的摄像机,面部识别系统和设备之间存在通信链路。 自动控制网络环境的方法包括捕获个体的脸部图像,存储脸部图像(即,在存储器中),以及将至少一个装置设置与面部图像相关联。 该方法还包括将面部图像与存储的脸部图像进行比较,检索匹配的面部图像的至少一个装置设置,以及启动至少一个装置设置。 设备设置控制打开或关闭设备,例如照明源,电视或立体声。
    • 77. 发明申请
    • Expression invariant face recognition
    • 表达式不变面识别
    • US20060110014A1
    • 2006-05-25
    • US10538093
    • 2003-12-10
    • Vasanth PhilominSrinivas GuitaMiroslav Trajkovic
    • Vasanth PhilominSrinivas GuitaMiroslav Trajkovic
    • G06K9/00G06K9/46G06K9/62
    • G06K9/00288
    • An identification and/or verification system which has improved accuracy when the expression on the face of the captured image is different than the expression on the face of the stored image. One or more images of a person are captured. The expressive facial features of the captured image are located. The system then compares the expressive facial features to the expressive facial features of the stored image. If there is no match then the locations of the non-matching expressive facial feature in the captured image are stored. These locations are then removed from the overall comparison between the captured image and the stored image. Removing these locations from the subsequent comparison of the entire image reduces false negatives that result from a difference in the facial expressions of the captured image and a matching stored image.
    • 当捕获的图像的表情上的表达与存储的图像的表面上的表达不同时,其精度提高的识别和/或验证系统。 捕获一个人的一个或多个图像。 拍摄的图像的表情面部特征位于。 然后,该系统将表现的面部特征与存储的图像的表现性面部特征进行比较。 如果没有匹配,则存储捕获图像中不匹配的表现面部特征的位置。 然后从捕获的图像和存储的图像之间的总体比较中去除这些位置。 从整个图像的后续比较中移除这些位置减少了由捕获图像的面部表情和匹配的存储图像之间的差异导致的假阴性。
    • 80. 发明授权
    • Method and apparatus for automatic face blurring
    • 自动脸部模糊的方法和装置
    • US06959099B2
    • 2005-10-25
    • US10011612
    • 2001-12-06
    • Srinivas GuttaMiroslav TrajkovicAntonio J. ColmenarezVasanth Philomin
    • Srinivas GuttaMiroslav TrajkovicAntonio J. ColmenarezVasanth Philomin
    • G06T1/00G06K9/00G06K9/36G06T5/20G06T7/40
    • G06T5/002G06K9/00228G06T2207/10016G06T2207/30201
    • An image processing system is disclosed that provides automatic face or skin blurring for images. All faces or skin can be blurred, or specific faces can be blurred. In one aspect of the invention, a particular face is blurred on an image or on a series of images in a video. Faces are determined in an image, and face matching is performed to match a particular face to faces in the image. If a match is found, the face or a portion of the face is blurred in the image. The blurring is performed on a portion of the image containing the particular face. Blurring may be performed through a variety of techniques. In another aspect of the invention, voice processing is used as an adjunct to or in place of face analysis to determine if a face in an image or series of images should be blurred. In another aspect of the invention, all faces or human skin in an image or series of images is blurred.
    • 公开了一种为图像提供自动脸部或皮肤模糊的图像处理系统。 所有面部或皮肤都可以模糊,或者特定的面部可以模糊。 在本发明的一个方面,特定的脸部在视频中的图像或一系列图像上模糊。 在图像中确定面部,并且执行面部匹配以将特定面部与图像中的面部匹配。 如果找到匹配,脸部或脸部的一部分在图像中模糊。 在包含特定面部的图像的一部分上执行模糊。 可以通过各种技术来执行模糊。 在本发明的另一方面,语音处理用作面部分析的附加物或代替脸部分析,以确定图像中的脸部或一系列图像是否应该模糊。 在本发明的另一方面,图像或一系列图像中的所有面部或人体皮肤都模糊。