Customizable intrusion zones associated with security systems

    公开(公告)号:US12096156B2

    公开(公告)日:2024-09-17

    申请号:US15897792

    申请日:2018-02-15

    发明人: James Siminoff

    摘要: The present application is directed to creating intrusion zones for security systems. For example, a client device may cause a graphical user interface (GUI) to be displayed on a display, the GUI configured for creating an intrusion zone for an audio/video (A/V) recording and communication device. The GUI may include one or more motion zones associated with a field of view of the A/V recording and communication device. While displaying the GUI, the client device may receive a first input selecting a motion zone from the one or more motion zones, at least a portion of the motion zone being associated with the intrusion zone, a second input for setting a conditional setting for the intrusion zone, and a third input selecting an activation mode of the security system to associate with the intrusion zone. The client device may then transmit, to at least one of a network device and the A/V recording and communication device, a control signal that is configured to cause the at least one of the network device and the A/V recording and communication device to save the intrusion zone.

    Method for recognizing masked faces, device for recognizing masked faces, and computer storage medium

    公开(公告)号:US12094244B2

    公开(公告)日:2024-09-17

    申请号:US17555649

    申请日:2021-12-20

    发明人: Chin-Wei Yang

    摘要: A method for recognizing masked faces includes: obtaining a face image to be recognized; detecting whether the face image to be recognized has a mask; extracting feature vectors of a whole face in the face image to be recognized when the face image to be recognized does not have a mask; comparing the feature vectors of the whole face with face images in a first database, and outputting a face recognition result; extracting feature vectors of an upper half face in the face image to be recognized when the face image to be recognized has a mask; comparing the feature vectors of the upper half face with face images in a second database, and outputting the face recognition result. The method of the present disclosure processes images of faces with and without masks, expanding application scenario of face recognition and improving the accuracy of recognition.

    Learning data generation apparatus, learning data generation method, and recording medium

    公开(公告)号:US12094166B2

    公开(公告)日:2024-09-17

    申请号:US17765484

    申请日:2019-10-08

    申请人: NEC Corporation

    发明人: Jun Piao

    IPC分类号: G06T7/00 G06T7/73 G06V10/22

    摘要: A discriminative mode generation unit generates a discriminative model that discriminates a target object included in an image using a target object image, which includes the target object and to which a label of the target object is applied, and a non-target object image, which includes a non-target object. An interest area detection unit inputs the target object image to the discriminative model, and detects an interest area which is an area that is predicted to include the target object. A rectangle generation unit generates a rectangle circumscribing the target object based on the interest area. A learning data output unit outputs learning data including a label of the target object and the rectangle.

    LEARNING APPARATUS, INFERENCE APPARATUS, LEARNING METHOD, INFERENCE METHOD, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

    公开(公告)号:US20240282089A1

    公开(公告)日:2024-08-22

    申请号:US18438670

    申请日:2024-02-12

    发明人: Motoki KITAZAWA

    IPC分类号: G06V10/778 G06V10/22

    CPC分类号: G06V10/778 G06V10/22

    摘要: A learning apparatus comprises one or more memories storing instructions and one or more processors that execute the instructions to acquire a likelihood map of a specific part in an input image by using a first model for detecting the specific part, acquire a region map representing a region of a specific part of a tracking target in the input image by using a second model for detecting the tracking target, and perform learning of the second model based on a loss obtained based on an element product map obtained by an element product of the likelihood map and the region map and correct answer data indicating a region of a specific part of a tracking target in the input image.