Camera certification for video surveillance systems

    公开(公告)号:US10757402B2

    公开(公告)日:2020-08-25

    申请号:US16215972

    申请日:2018-12-11

    Abstract: Cameras for use in a video surveillance system that is controlled by a video management system (VMS) may have a variety of operating characteristics and capabilities. For a VMS to communicate effectively with each camera, a file must be created for use by the VMS to that specifies how to connect with and operate the camera according to the camera's available and functioning capabilities. The verification of the camera's available/functioning capabilities and the creation of the file is a resource-consuming process known as certification. Disclosed herein are systems and methods that automate the certification process to make certifying cameras more efficient and cost effective.

    System and method of diarization and labeling of audio data

    公开(公告)号:US10720164B2

    公开(公告)日:2020-07-21

    申请号:US16702998

    申请日:2019-12-04

    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

    Automated ontology development
    215.
    发明授权

    公开(公告)号:US10679134B2

    公开(公告)日:2020-06-09

    申请号:US16458482

    申请日:2019-07-01

    Abstract: Systems and methods of automated ontology development include a corpus of communication data. The corpus of communication data includes communication data from a plurality of interactions and is processed. A plurality of terms are extracted from the corpus. Each term of the plurality is a plurality of words that identify a single concept within the corpus. An ontology is automatedly generated from the extracted terms.

    SYSTEM AND METHOD FOR GENERATING DATA SETS FOR LEARNING TO IDENTIFY USER ACTIONS

    公开(公告)号:US20200169571A1

    公开(公告)日:2020-05-28

    申请号:US16694020

    申请日:2019-11-25

    Abstract: Embodiments for generating appropriate data sets for learning to identify user actions. A user uses one or more applications over a suitable period of time. As the user uses the applications, a monitoring device, acting as a “man-in-the-middle,” intermediates the exchange of encrypted communication between the applications and the servers that serve the applications. The monitoring device obtains, for each action performed by the user, two corresponding (bidirectional) flows of communication: an encrypted flow, and an unencrypted flow. Since the unencrypted flow indicates the type of action that was performed by the user, the correspondence between the encrypted flow and the unencrypted flow may be used to automatically label the encrypted flow, without decrypting the encrypted flow. Features of the encrypted communication may then be stored in association with the label to automatically generate appropriately-sized learning set for each application of interest.

    Diarization using acoustic labeling
    217.
    发明授权

    公开(公告)号:US10650826B2

    公开(公告)日:2020-05-12

    申请号:US16594812

    申请日:2019-10-07

    Abstract: Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker.

    DIARIZATION USING LINGUISTIC LABELING
    218.
    发明申请

    公开(公告)号:US20200105275A1

    公开(公告)日:2020-04-02

    申请号:US16702998

    申请日:2019-12-04

    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

    Diarization using textual and audio speaker labeling

    公开(公告)号:US10593332B2

    公开(公告)日:2020-03-17

    申请号:US16567446

    申请日:2019-09-11

    Abstract: Systems and methods diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

    SYSTEM AND METHOD FOR SIMULTANEOUS LOCATION TRACKING OF MULTIPLE WIRELESS TERMINALS

    公开(公告)号:US20200077230A1

    公开(公告)日:2020-03-05

    申请号:US16678624

    申请日:2019-11-08

    Inventor: Ishay Barlev

    Abstract: A location-tracking system that includes multiple detector units that are deployed in a region of interest. The detector units receive uplink signals from wireless terminals that are active in the region, and measure the strengths of the received uplink signals. The system computes the locations of the terminals based on the measured signal strengths and the known locations of the detector units. The location-tracking system receives and analyzes downlink signals from one or more of the base stations of the wireless network. The detector unit uses the downlink signal to recover and synchronize to the timing of the wireless network's air-interface. Based on the extracted uplink allocations, and having synchronized with the air-interface, the system is able to distinguish between the uplink signal components originating from each terminal, and thus compute the location of each terminal.

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