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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
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.
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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
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.
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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.
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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
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.
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公开(公告)号：US20190303684A1
公开(公告)日：2019-10-03
申请号：US16442230
申请日：2019-06-14
申请人： Krishna Khadloya , Vaidhi Nathan
发明人： Krishna Khadloya , Vaidhi Nathan
摘要： Human or object presence in or absence from a field-of-view of a camera can be achieved by analyzing camera data using a processor inside of or adjacent to the camera itself. In an example, a video signal processing system receives image data from one or more cameras and uses a processing circuit to determine whether a designated object is or is not present at a particular time, during a particular interval, or over a designated sequence of frames. In an example, the designated object can include one or more of a human being, a vehicle, or a parcel. In an example, results of the determination, such as including positive human or object identification, can be used as a trigger for operation of a barrier or access door.
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公开(公告)号：US20190251369A1
公开(公告)日：2019-08-15
申请号：US16272556
申请日：2019-02-11
申请人： Ilya Popov , Dmitry Yashunin , Semen Budenkov , Krishna Khadloya
发明人： Ilya Popov , Dmitry Yashunin , Semen Budenkov , Krishna Khadloya
CPC分类号： G06K9/00791 , G06K9/6267 , G06K2209/01 , G06K2209/15 , G06T5/002 , G06T5/20
摘要： A license plate detection and recognition system receives training data comprising images of license plates. The system prepares ground truth data from the training data based predefined parameters. The system trains a first machine learning algorithm based on the ground truth data to generate a license plate detection model. The license plate detection model is configured to detect one or more regions in the images. The one or more regions contains a candidate for a license plate. The LPDR system generates a bounding box for each region. The LPDR system trains a second machine learning algorithm based on the ground truth data and the license plate detection model to generate a license plate recognition model. The license plate recognition model generates a sequence of alphanumeric characters with a level of recognition confidence for the sequence.
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公开(公告)号：US20190278976A1
公开(公告)日：2019-09-12
申请号：US16299000
申请日：2019-03-11
申请人： Krishna Khadloya , Albert Kay
发明人： Krishna Khadloya , Albert Kay
IPC分类号： G06K9/00 , G06K9/62 , G08B13/196
摘要： An intelligent face recognition system for an installed security system can include a camera and a local or remote video processor including a face recognition engine. The video processor can be configured to receive the image information from the one or more cameras, and generate an alert for communication to a user device based on a recognition event in the environment. In an example, the face recognition engine is configured to apply machine learning to analyze images from the camera and determine whether the images include or correspond to an enrolled face, and the face recognition engine is configured to provide the recognition event based on the determination.
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