知搜-全球专利检索

  1. 登录
  2. 注册

搜索结果

12 条记录 (耗时 0.017 秒)

    Person/object image and screening
    1.
    发明授权
    Person/object image and screening 有权
    人物/形象和筛选

    公开(公告)号：US08300890B1

    公开(公告)日：2012-10-30

    申请号：US12459073

    申请日：2009-06-25

    申请人： Deepak Gaikwad ,  Radhika Walimbe ,  Chandan Gope ,  Vaidhi Nathan

    发明人： Deepak Gaikwad ,  Radhika Walimbe ,  Chandan Gope ,  Vaidhi Nathan

    IPC分类号： G06K9/00

    CPC分类号： H04N5/144 ,  G06K9/00771 ,  G06T2207/20012 ,  H04N5/272

    摘要： A first set of unknown pixels is determined for which being located in the foreground portion does not in-and-of-itself determine the pixel to be part of the foreground. A second set of unknown pixels is determined for which being in a current background portion does not in-and-of-itself determine the pixel to be part of the background. A determination is made for the first and second set of unknown pixels whether the pixel is part of the background or foreground based on temporal data. Extracting an image of the foreground that does not include the current background based on the determination of whether the pixel is part of the foreground, the current background, and temporal data. In an embodiment, the system can use multiple types of sensors to determine whether an entity is a likely security risk.

    摘要翻译： 确定位于前景部分中的第一组未知像素本身不会将像素确定为前景的一部分。 确定在当前背景部分中的第二组未知像素本身不会将像素确定为背景的一部分。 基于时间数据，确定第一和第二组未知像素是否像素是背景或前景的一部分。 基于该像素是否是前景的一部分，当前背景和时间数据的确定来提取不包括当前背景的前景的图像。 在一个实施例中，系统可以使用多种类型的传感器来确定实体是否是可能的安全风险。

    AUDIO-VISUAL MONITORING USING A VIRTUAL ASSISTANT
    3.
    发明申请
    AUDIO-VISUAL MONITORING USING A VIRTUAL ASSISTANT 审中-公开

    公开(公告)号：US20190246075A1

    公开(公告)日：2019-08-08

    申请号：US16271183

    申请日：2019-02-08

    申请人： Krishna Khadloya ,  Vaidhi Nathan ,  Chandan Gope

    发明人： Krishna Khadloya ,  Vaidhi Nathan ,  Chandan Gope

    IPC分类号： H04N7/18 ,  G06K9/00 ,  G10L25/51 ,  G10L17/00 ,  G06N20/00

    摘要： A function of a user-controlled virtual assistant (UCVA) device, such as a smart speaker, can be augmented using video or image information about an environment. In an example, a system for augmenting an UCVA device includes an image sensor configured to monitor an environment, a processor circuit configured to receive image information from the image sensor and use artificial intelligence to discern a presence of one or more known individuals in the environment from one or more other features in the environment. The system can include an interface coupled to the processor circuit and configured to provide identification information to the UCVA device about the one or more known human beings in the environment. The UCVA device can be configured by the identification information to update an operating mode of the UCVA device.

    PEDESTRIAN DETECTION FOR VEHICLE DRIVING ASSISTANCE
    4.
    发明申请
    PEDESTRIAN DETECTION FOR VEHICLE DRIVING ASSISTANCE 审中-公开

    公开(公告)号：US20190259284A1

    公开(公告)日：2019-08-22

    申请号：US16280757

    申请日：2019-02-20

    申请人： Krishna Khadloya ,  Chandan Gope

    发明人： Krishna Khadloya ,  Chandan Gope

    IPC分类号： G08G1/16 ,  G06K9/00 ,  G06K9/62 ,  G06T7/20 ,  G06T7/00

    摘要： Driver and pedestrian safety can be aided by systems and methods to provide identification and classification of objects in a vehicle travel path. Information about classified objects can be shared with a human driver to inform the driver about potentially hazardous conditions, or the information can be interpreted automatically by an operating system of the vehicle. In an example, a camera coupled to a vehicle can receive images from an image sensor. A computer system can use machine learning and neural network-based processing to identify an object present in the images and determine whether the object is a pedestrian. In an example, the computer system can process information from a region of interest in the images that comprises less than an entire field of view in the images.

    Abnormal motion detector and monitor
    6.
    发明申请
    Abnormal motion detector and monitor 审中-公开
    异常运动检测器和监视器

    公开(公告)号：US20120053491A1

    公开(公告)日：2012-03-01

    申请号：US13317676

    申请日：2011-10-25

    申请人： Vaidhi Nathan ,  Chandan Gope ,  Anoo Nathan

    发明人： Vaidhi Nathan ,  Chandan Gope ,  Anoo Nathan

    IPC分类号： A61B5/11

    CPC分类号： A61B5/4082 ,  A61B5/0022 ,  A61B5/1101 ,  A61B5/1107 ,  A61B5/1112 ,  A61B5/1113 ,  A61B5/1118 ,  A61B5/1122 ,  A61B5/1123 ,  A61B5/1128 ,  A61B5/4094 ,  A61B5/6801 ,  A61B5/681 ,  A61B5/6891 ,  A61B5/726 ,  A61B5/7282 ,  A61B2562/0219 ,  G06K9/00335 ,  G06K9/00771

    摘要： In an embodiment, a seizure monitor provides intelligent epileptic seizure detection, monitoring, and alerting for epilepsy patients or people with seizures. In an embodiment, the seizure monitor may be a wearable, non-intrusive, passive monitoring device that does not require any insertion or ingestion into the human body. In an embodiment, the seizure monitor may include several output options for outputting the accelerometer/gyro or other motion sensor data and video data, so that the data may be immediately validated and/or remotely viewed. The device alerts and communicates to the outside care givers via wirelessly or wired medium. The device may also support recording of accelerometer or other motion sensor data and video data, which can be reviewed later for further analysis and/or diagnosis. The device and invention is also used and applicable for other body motion disorders or detection and diagnostics.

    摘要翻译： 在一个实施方案中，癫痫发作监测器为癫痫患者或癫痫发作者提供智能癫痫发作检测，监测和警报。 在一个实施方案中，缉获监测器可以是不需要任何插入或摄取到人体内的可穿戴的，非侵入性的被动监测装置。 在一个实施例中，检测监视器可以包括用于输出加速度计/陀螺仪或其他运动传感器数据和视频数据的多个输出选项，使得可以立即验证和/或远程查看数据。 该设备通过无线或有线介质提醒并向外部护理人员进行通信。 该装置还可以支持加速度计或其他运动传感器数据和视频数据的记录，这些数据和视频数据可以随后进行审查以进一步分析和/或诊断。 该装置和发明也可用于其他身体运动障碍或检测和诊断。

    AUDIO TYPE DETECTION
    7.
    发明申请
    AUDIO TYPE DETECTION 审中-公开

    公开(公告)号：US20190259378A1

    公开(公告)日：2019-08-22

    申请号：US16280806

    申请日：2019-02-20

    申请人： Krishna Khadloya ,  Chandan Gope ,  Vaidhi Nathan

    发明人： Krishna Khadloya ,  Chandan Gope ,  Vaidhi Nathan

    IPC分类号： G10L15/16 ,  G06N3/08 ,  G06N3/04 ,  G06N20/20 ,  G06N20/10 ,  G10L25/21 ,  G10L25/18 ,  G06F9/54

    摘要： Artificial intelligence-based processing can be used to classify audio information received from an audio input unit. In an example, audio information can be received from a microphone configured to monitor an environment. A processor circuit can identify identifying one or more features of the audio information received from the microphone and use a first applied machine learning algorithm to analyze the one or more features and determine whether the audio information includes an indication of an abnormal event in the environment. In an example, the processor circuit can use a different second applied machine learning algorithm, such as a neural network-based deep learning algorithm, to analyze the same one or more features and classify the audio information as including an indication of a particular event type in the environment.

    HUMAN PRESENCE DETECTION IN EDGE DEVICES
    9.
    发明申请
    HUMAN PRESENCE DETECTION IN EDGE DEVICES 审中-公开

    公开(公告)号：US20190258866A1

    公开(公告)日：2019-08-22

    申请号：US16279512

    申请日：2019-02-19

    申请人： Krishna Khadloya ,  Maxim Sokolov ,  Vaidhi Nathan ,  Chandan Gope

    发明人： Krishna Khadloya ,  Maxim Sokolov ,  Vaidhi Nathan ,  Chandan Gope

    IPC分类号： G06K9/00 ,  G06T7/215 ,  G06T7/246 ,  G08B13/196

    摘要： A system and method for detecting human presence in or absence from a field-of-view of a camera by analyzing camera data using a processor inside of or adjacent to the camera itself. In an example, the camera can be integrated with or embedded in another edge-based sensor device. In an example, a video signal processing system receives image data from one or more image sensors and uses a local processing circuit to process the image data and determine if a human being is or is not present during a particular time, interval, or sequence of frames. In an example, the human being identification technique can be used in security or surveillance applications such as for home, business, or other monitoring cameras.