Iris image data processing for template iris pattern generation
    11.
    发明授权
    Iris image data processing for template iris pattern generation 有权
    虹膜图像数据处理用于模板虹膜图案生成

    公开(公告)号:US09396394B1

    公开(公告)日:2016-07-19

    申请号:US14496899

    申请日:2014-09-25

    Abstract: Systems, devices, methods, computer-readable media, techniques, and methodologies are disclosed for generating a template iris pattern using multiple image frames containing image data corresponding to detected light at different wavelengths along the electromagnetic (EM) spectrum including light in the infrared, near-infrared, and/or visible light bands.

    Abstract translation: 公开了系统,装置,方法,计算机可读介质,技术和方法,用于使用包含对应于沿着包括红外线中的光的电磁(EM)频谱的不同波长的检测光的图像数据的多个图像帧来生成模板虹膜图案, 近红外和/或可见光带。

    Computer vision to enable services
    12.
    发明授权

    公开(公告)号:US11367286B1

    公开(公告)日:2022-06-21

    申请号:US16810164

    申请日:2020-03-05

    Abstract: This application describes techniques for providing computer vision for manual services. In some instances, a remote system may determine that a current time is within a threshold period of time of a scheduled service and, based on the determination, send a first message requesting image data to a camera apparatus located within an environment. After sending the first message, the remote system may receive image data associated with the environment from the camera apparatus and use the image to detect an object within the environment. The remote system can then send a second message to a device of a guest and a third message to a device of a user, where each of the second message and the third message indicates that the object is within the environment. In some instances, the object can include an animal while in some instances, the object can include a person.

    Pattern recognition for habit engagement, mistake avoidance, and object finding using sensor data

    公开(公告)号:US10755106B1

    公开(公告)日:2020-08-25

    申请号:US15975300

    申请日:2018-05-09

    Abstract: Systems and techniques are generally described for pattern recognition in video data. In some examples, a first set of pixels representing a first person in the first video data may be determined. First feature representation data of the first set of pixels may be generated. The first feature representation data may be determined to correspond to second feature representation data stored in memory. An identity of the first person associated with the second feature representation data may be determined. A first action associated with the first person may be determined. A notification may be sent to a computing device accessible by the first person. The notification may include a reminder for the first person to engage in the first action.

    Systems and methods for determining a depth or reflectance of objects

    公开(公告)号:US10148869B1

    公开(公告)日:2018-12-04

    申请号:US15876313

    申请日:2018-01-22

    Abstract: Systems, methods, and computer-readable media are disclosed for determining a depth or reflectance of objects. Example methods may include illuminating a scene within a field of view of a device at a first illuminance value, detecting a reflected illuminance value, and determining a first reflectance value for a first object in the scene. Example methods may include identifying the first object, determining an orientation of the first object, and determining an estimated distance between the device and the first object based at least in part on the first illuminance value, the reflected illuminance value, and the first reflectance value.

    Object concealment by inverse time of flight

    公开(公告)号:US09915528B1

    公开(公告)日:2018-03-13

    申请号:US14458746

    申请日:2014-08-13

    Inventor: Mashhour Solh

    CPC classification number: G01C3/08 G01S17/00

    Abstract: A first device may emit a first modulated signal within an environment that includes a second device that is located close in proximity to an object. The second device may capture the first modulated signal and determine a second modulated signal having a phase that is different from that of the first modulated signal. In response to capturing the second modulated signal, the first device may determine a phase difference corresponding to the first modulated signal and the second modulated signal using time-of-flight (TOF). Using the phase difference, the first device may determine the distance between the first device and the object. In embodiments where the phase difference is zero, the first device may be unable to detect the presence of the object.

    Low-overhead motion classification
    17.
    发明授权

    公开(公告)号:US11257226B1

    公开(公告)日:2022-02-22

    申请号:US16515014

    申请日:2019-07-17

    Abstract: A method of classifying motion from video frames involves generating motion frames indicative of changes in pixel values between pairs of frames. The method also involves determining one-dimensional feature values based on the video frames or motion frames, such as the statistical values or linear transformation coefficients. Each one-dimensional feature value may be stored in a buffer, from which additional temporal feature values can be extracted indicative of the change of the one-dimensional feature values across a set of frames. A classifier may receive the one-dimensional feature values and the additional temporal feature values as inputs, and determine the class of motion present in the video frames. Some classes of motion, such as irrelevant motion, may be considered irrelevant to the execution of certain motion-triggered actions, such that the method may involve suppressing the performance of a motion-triggered action based on the determined class of motion.

    Scene change detection in image data

    公开(公告)号:US10769442B1

    公开(公告)日:2020-09-08

    申请号:US15700536

    申请日:2017-09-11

    Abstract: Techniques are generally described for scene change detection. A first and second histogram representing frames of a video may be received. A Euclidean distance between the first and second histogram may be determined. A third histogram of a third frame may be received. Values of the third histogram may be compared to corresponding values of a background model of the environment. A fourth frame and a fifth frame of image data of the video may be received. A flow value between a first block of pixels of the fourth frame and a corresponding second block of pixels of the fifth frame may be determined. The flow value may be determined based on a motion vector and a sum of absolute differences between the first and second block. A portion of the video may be streamed to a remote computing device if the flow value exceeds a threshold value.

    Systems and methods for smoke detection

    公开(公告)号:US09818277B1

    公开(公告)日:2017-11-14

    申请号:US14810099

    申请日:2015-07-27

    Abstract: Provided are systems and methods for smoke and fire detection. An example method includes receiving two or more image frames that represent images of two or more areas, combining the two or more image frames to generate a composite image frame that represents an image of an area comprising the two or more areas, comparing the composite image frame to a background frame associated with the area to determine one or more pixels of the composite frame having a pixel value that is different from corresponding pixels of the background frame, determining a smoke frame, wherein pixels of the smoke frame that correspond to the one or more pixels of the composite frame comprise a pixel value associated with smoke, determining a smoke value corresponding to pixel values of the pixels of the smoke frame, determining that the smoke value exceeds a smoke threshold value, determining a smoke or fire condition based at least in part on determining that the smoke value exceeds a smoke threshold value, and providing an indication of the smoke or fire condition.

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