公开(公告)号：US12205380B2

公开(公告)日：2025-01-21

申请号：US18402956

申请日：2024-01-03

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Mayank Gupta ,  Xia Yang ,  Yuanyuan Chen ,  Zixiao (Shawn) Wang ,  Qiang (Kevin) Fu ,  Yunchao Gong ,  Naresh Nagabushan

IPC: G06V20/58 ,  B60W40/08 ,  G06F16/28

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

公开(公告)号：US11594043B1

公开(公告)日：2023-02-28

申请号：US17700383

申请日：2022-03-21

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Mayank Gupta ,  Xia Yang ,  Yuanyuan Chen ,  Zixiao (Shawn) Wang ,  Qiang (Kevin) Fu ,  Yunchao Gong ,  Naresh Nagabushan

IPC: G06V10/56 ,  G06F16/583 ,  G06F16/532 ,  G06V20/58 ,  G06F16/28 ,  B60W40/08

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

公开(公告)号：US11734343B1

公开(公告)日：2023-08-22

申请号：US18155687

申请日：2023-01-17

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Mayank Gupta ,  Xia Yang ,  Yuanyuan Chen ,  Zixiao (Shawn) Wang ,  Qiang (Kevin) Fu ,  Yunchao Gong ,  Naresh Nagabushan

IPC: G06K9/00 ,  G06F16/583 ,  G06F16/538 ,  G06V10/82 ,  G06V10/26 ,  G06F16/532 ,  G06V10/56

CPC classification number: G06F16/5838 ,  G06F16/532 ,  G06F16/538 ,  G06V10/26 ,  G06V10/56 ,  G06V10/82

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

公开(公告)号：US11586667B1

公开(公告)日：2023-02-21

申请号：US17869164

申请日：2022-07-20

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Mayank Gupta ,  Xia Yang ,  Yuanyuan Chen ,  Zixiao (Shawn) Wang ,  Qiang (Kevin) Fu ,  Yunchao Gong ,  Naresh Nagabushan

IPC: G06K9/00 ,  G06F16/583 ,  G06V10/56 ,  G06V10/82 ,  G06F16/532 ,  G06F16/538 ,  G06V10/26

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

公开(公告)号：US11557133B1

公开(公告)日：2023-01-17

申请号：US17871786

申请日：2022-07-22

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Yunchao Gong ,  Suraj Arun Vathsa ,  Mayank Gupta ,  Naresh Nagabushan

IPC: G06V20/62 ,  G06V10/774 ,  G06V20/54 ,  G06V30/148

Abstract: Automatic license plate recognition occurs when a light sensor that continually captures video detects motion as a vehicle is driven through a gate. The light sensor detects the vehicle and license plate in the video stream captured by the light sensor. An algorithm associated with the video stream of the light sensor is trained to detect license plates. The light sensor starts executing the recognition algorithm when it detects motion. Recognition of characters in the license plate is based upon an aggregation of several captured video frames in which a license plate is detected.

公开(公告)号：US11429664B1

公开(公告)日：2022-08-30

申请号：US17700396

申请日：2022-03-21

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Mayank Gupta ,  Xia Yang ,  Yuanyuan Chen ,  Zixiao (Shawn) Wang ,  Qiang (Kevin) Fu ,  Yunchao Gong ,  Naresh Nagabushan

IPC: G06K9/00 ,  G06F16/583 ,  G06V10/56 ,  G06F16/532 ,  G06V10/26 ,  G06F16/538 ,  G06V10/82

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

公开(公告)号：US12056183B2

公开(公告)日：2024-08-06

申请号：US18347503

申请日：2023-07-05

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Mayank Gupta ,  Xia Yang ,  Yuanyuan Chen ,  Zixiao (Shawn) Wang ,  Qiang (Kevin) Fu ,  Yunchao Gong ,  Naresh Nagabushan

IPC: G06K9/00 ,  G06F16/532 ,  G06F16/538 ,  G06F16/583 ,  G06V10/26 ,  G06V10/56 ,  G06V10/82

CPC classification number: G06F16/5838 ,  G06F16/532 ,  G06F16/538 ,  G06V10/26 ,  G06V10/56 ,  G06V10/82

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

公开(公告)号：US11948373B2

公开(公告)日：2024-04-02

申请号：US18064883

申请日：2022-12-12

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Yunchao Gong ,  Suraj Arun Vathsa ,  Mayank Gupta ,  Naresh Nagabushan

IPC: G06V20/62 ,  G06V10/774 ,  G06V20/54 ,  G06V30/148

CPC classification number: G06V20/625 ,  G06V10/774 ,  G06V20/54 ,  G06V30/148

Abstract: Automatic license plate recognition occurs when a light sensor that continually captures video detects motion as a vehicle is driven through a gate. The light sensor detects the vehicle and license plate in the video stream captured by the light sensor. An algorithm associated with the video stream of the light sensor is trained to detect license plates. The light sensor starts executing the recognition algorithm when it detects motion. Recognition of characters in the license plate is based upon an aggregation of several captured video frames in which a license plate is detected.

公开(公告)号：US11900688B2

公开(公告)日：2024-02-13

申请号：US18155666

申请日：2023-01-17

Applicant: Verkada Inc.

Inventor： Yi Xu ,  Mayank Gupta ,  Xia Yang ,  Yuanyuan Chen ,  Zixiao (Shawn) Wang ,  Qiang (Kevin) Fu ,  Yunchao Gong ,  Naresh Nagabushan

IPC: G06V10/56 ,  G06V20/58 ,  G06F16/583 ,  G06F16/532 ,  G06F16/28 ,  B60W40/08

CPC classification number: G06V20/58 ,  B60W40/08 ,  G06F16/284 ,  G06F16/287 ,  B60W2420/42

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.