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公开(公告)号:US11682218B2
公开(公告)日:2023-06-20
申请号:US17553264
申请日:2021-12-16
Applicant: Geotab Inc.
IPC: G06V20/59 , G06V20/70 , G06V10/74 , G06V10/22 , G06V10/70 , G06V10/75 , G06V10/774 , G06V10/94 , B60R25/30 , G07C5/00 , H04N7/18
CPC classification number: G06V20/59 , B60R25/305 , G06V10/235 , G06V10/759 , G06V10/761 , G06V10/774 , G06V10/87 , G06V10/945 , G06V20/70 , G07C5/008 , H04N7/188 , G06V2201/02
Abstract: Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.
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公开(公告)号:US11669593B2
公开(公告)日:2023-06-06
申请号:US17205961
申请日:2021-03-18
Applicant: Geotab Inc.
CPC classification number: G06F18/40 , G06F18/2148 , G06F18/24 , G06V10/235 , G06V20/59 , G06V2201/02
Abstract: Systems and methods for training image processing models for vehicle data collection by image analysis are provided. An example method involves accessing an image of a field of interest in a vehicle captured by a camera in the vehicle, providing a user interface to, display the image, receive input that defines a region of interest in the image that is expected to convey vehicle information, and receive input that assigns a label to the region of interest that associates the region of interest with an image processing model that is to be trained to extract a type of vehicle information from the region of interest, and contributing the image, labelled with the region of interest and the label associating the region of interest to the image processing model, to a training data library to train the image processing model.
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公开(公告)号:US20220301322A1
公开(公告)日:2022-09-22
申请号:US17553264
申请日:2021-12-16
Applicant: Geotab Inc.
IPC: G06V20/59 , G06V10/22 , G06V10/774 , G06V20/70 , G06V10/74 , G06V10/75 , G06V10/94 , G06V10/70 , H04N7/18 , B60R25/30 , G07C5/00
Abstract: Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.
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公开(公告)号:US20220300759A1
公开(公告)日:2022-09-22
申请号:US17205961
申请日:2021-03-18
Applicant: Geotab Inc.
Abstract: Systems and methods for training image processing models for vehicle data collection by image analysis are provided. An example method involves accessing an image of a field of interest in a vehicle captured by a camera in the vehicle, providing a user interface to, display the image, receive input that defines a region of interest in the image that is expected to convey vehicle information, and receive input that assigns a label to the region of interest that associates the region of interest with an image processing model that is to be trained to extract a type of vehicle information from the region of interest, and contributing the image, labelled with the region of interest and the label associating the region of interest to the image processing model, to a training data library to train the image processing model.
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公开(公告)号:US20220300747A1
公开(公告)日:2022-09-22
申请号:US17205908
申请日:2021-03-18
Applicant: Geotab Inc.
Abstract: Systems and methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.
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