TECHNIQUES FOR CAPTURING ENHANCED IMAGES FOR PATTERN INDENTIFICATIONS

    公开(公告)号:US20240104933A1

    公开(公告)日:2024-03-28

    申请号:US18532912

    申请日:2023-12-07

    CPC classification number: G06V20/56 H04L67/12

    Abstract: This disclosure describes techniques for capturing still images during video streaming to identify patterns in a region-of-interest on the captured still images. The video streaming may be performed by an imaging device that includes or is communicatively connected to one or more sensors (e.g., radar, light sensor, etc.) The one or more sensors may be configured to perform data measurements such as vehicle speed measurements, light intensity measurements, and/or the like. In one example, during the video streaming, the data measurement may be compared with a corresponding threshold. In this example, the imaging device may be triggered to capture still images of the surrounding area based on the comparison between the data measurement and the corresponding threshold. Thereafter, the still images may be processed to identify the region-of-interest on the still images.

    MULTIMEDIA OBJECT TRACKING AND MERGING
    32.
    发明公开

    公开(公告)号:US20240037761A1

    公开(公告)日:2024-02-01

    申请号:US17877639

    申请日:2022-07-29

    CPC classification number: G06T7/246 G06V10/74 G06T2207/10016 G06V2201/10

    Abstract: In multimedia object tracking and merging of tracked objects, an object is tracked through frames of multimedia content until a frame appears in which the tracked object is not detected. A first track is designated as one or more consecutive frames in which the tracked object is detected, the first track ending at the first frame. Tracking continues to try to detect the tracked object in a second frame subsequent to the first frame. If the tracked object is not again detected, information about the first track is output. If the tracked object is detected subsequently, a second track of consecutive tracked object detection is designated. The tracked objects in the two tracks are then compared with the aid of trained data models, and a matching score is determined to reflect the degree of match. If the matching score meets or exceeds a first threshold, the compared tracks are merged using the same identifier assigned to both tracks. If the matching score does not exceed a second threshold that is less than the first threshold, the tracks may be discarded as showing no match. If the matching score falls between the first and second thresholds, an indication is output for further analysis of the compared tracked objects.

    CLOCK SYNCHRONIZATION AND DATA REDUNDANCY FOR A MESH NETWORK OF USER DEVICES

    公开(公告)号:US20220408391A1

    公开(公告)日:2022-12-22

    申请号:US17354835

    申请日:2021-06-22

    Abstract: A hub may receive event data captured by a body-worn device and store the event data in a memory of the hub. The event data is then backed up from the hub to a memory of an additional hub communicatively connected to the hub. A copy of event data for a predetermined period of time as included in the event data is then transferred from the memory of the hub to a data store of a network operations center (NOC). In response to the transfer being complete, the hub may delete the event data for the predetermined period of time, send a first command to the additional hub directing the additional hub to delete a backup of the event data for the predetermined period of time, or send a second command to the body-worn device directing the body-worn device to delete the event data for the predetermined period of time.

    TECHNIQUES FOR CAPTURING ENHANCED IMAGES FOR PATTERN INDENTIFICATIONS

    公开(公告)号:US20220405514A1

    公开(公告)日:2022-12-22

    申请号:US17352158

    申请日:2021-06-18

    Abstract: This disclosure describes techniques for capturing still images during video streaming to identify patterns in a region-of-interest on the captured still images. The video streaming may be performed by an imaging device that includes or is communicatively connected to one or more sensors (e.g., radar, light sensor, etc.) The one or more sensors may be configured to perform data measurements such as vehicle speed measurements, light intensity measurements, and/or the like. In one example, during the video streaming, the data measurement may be compared with a corresponding threshold. In this example, the imaging device may be triggered to capture still images of the surrounding area based on the comparison between the data measurement and the corresponding threshold. Thereafter, the still images may be processed to identify the region-of-interest on the still images.

    AUTOMATED CLASSIFICATION AND INDEXING OF EVENTS USING MACHINE LEARNING

    公开(公告)号:US20220375501A1

    公开(公告)日:2022-11-24

    申请号:US17328960

    申请日:2021-05-24

    Abstract: Described herein are techniques that may be used to automatically identify and index events within a media content file. Such techniques may comprise receiving, from at least one recording device, a media content, receiving sensor data determined to correspond to the media content, determine a context associated with the at least one recording device based on the sensor data, identifying, based on one or more data patterns detected within the sensor data and based on the contextual data, at least one event, generating an index corresponding to the identified event, and storing an indication of the generated index in association with the media content.

    ARTIFICIAL INTELLIGENCE (AI) TRAINED DATA MODEL SELECTION

    公开(公告)号:US20220171971A1

    公开(公告)日:2022-06-02

    申请号:US17107866

    申请日:2020-11-30

    Abstract: This disclosure describes techniques for continuous improvement of machine learning models (also called data models) in a Content Management System (CMS). In one example, a CMS may store a set of data models for each application such as plate number recognition, facial recognition, a determination of likelihood of assault to a law enforcement officer in a traffic violation or robbery scenario, and car identification. In an example embodiment, a predictive model may be used to select a data model from the plurality of data models. The selected data model may be further improved or trained to a new sample of data features to generate an output pattern (e.g., likelihood of assault to a law enforcement officer).

    AUTOMATED CAMERA ACTIVATION
    39.
    发明申请

    公开(公告)号:US20230101332A1

    公开(公告)日:2023-03-30

    申请号:US17490787

    申请日:2021-09-30

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automated camera activation are disclosed. In one aspect, a method includes the actions of receiving, from a sensor, sensor data. The actions further include, based on the sensor data, determining that a firearm has been removed from a holster. The actions further include, based on determining that the firearm has been removed from the holster, generating a software-recognized event that indicates the firearm has been removed from the holster. The actions further include, in response to the software-recognized event that indicates the firearm has been removed from the holster, generating an instruction for a camera to record. The actions further include providing, for output, the instruction for the camera to record.

    MOBILE DEVICE ID TRACKING FOR AUTOMATIC INCIDENT DATA ASSOCIATION AND CORRELATION

    公开(公告)号:US20230087554A1

    公开(公告)日:2023-03-23

    申请号:US17480989

    申请日:2021-09-21

    Abstract: Multiple mobile device identifiers (IDs) of mobile devices and corresponding geolocations of the multiple of mobile device IDs are received from multiple mobile hubs during a time period. A selection of an incident that occurred at a particular geolocation at a particular date and time is then received. One or more mobile hubs of the multiple mobile hubs that were present within a selected geographical zone that includes the particular geolocation during a selected time frame that includes the particular date and time are identified based on at least one corresponding mobile device ID of the one or more mobile hubs. Sensor data obtained by at least one user device communicatively connected to the one or more mobile hubs of the multiple hubs are then associated with the incident.

Patent Agency Ranking