Mounting bracket for mounting a monitoring camera

    公开(公告)号:US09823551B2

    公开(公告)日:2017-11-21

    申请号:US15374642

    申请日:2016-12-09

    Applicant: Axis AB

    Abstract: The disclosure relates to a mounting bracket for mounting a monitoring camera. The bracket comprises an alcove adapted to slidingly receive said camera, a first mounting arrangement adapted for the camera to be mounted in a corner formed of a first and second wall, the first mounting arrangement comprising a first and second mounting surface arranged at an angle relative to each other. The first mounting surface is adapted to be attached to and abut the first wall. The second mounting surface is adapted to be attached to and abut the second wall. A second mounting arrangement is adapted for the camera to be mounted on a wall, the second mounting arrangement comprising a third mounting surface adapted to be attached to and abut the wall. The disclosure also relates to a system with a mounting bracket and monitoring camera.

    Method and sensor apparatus for generating an object classification for an object

    公开(公告)号:US11455503B2

    公开(公告)日:2022-09-27

    申请号:US17030700

    申请日:2020-09-24

    Applicant: Axis AB

    Abstract: Apparatus are provided for generating an object classification for an object, the apparatus comprising an image sensor, a radar sensor, and a processing unit, the processing unit configured to perform the steps of: receiving image data for the object from the image sensor, operating an image-based object classifier on the image data to generate an image-based object classification, receiving radar data for the object from the radar sensor, operating a radar-based object classifier on the radar data to generate a radar-based object classification, selecting between the image-based object classification and the radar-based object classification to output as the object classification for the object, determining if a training condition is met by the radar-based object classification, and training the radar-based object classifier using the image-based object classification when the training condition is met by the radar-based object classification.

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