METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DETECTING STICKERS

    公开(公告)号:US20240233324A1

    公开(公告)日:2024-07-11

    申请号:US18106134

    申请日:2023-02-06

    CPC classification number: G06V10/764 G06T7/11 G06T7/13 G06V10/25 G06V2201/07

    Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for detecting stickers. The method in an illustrative embodiment includes sending, at a far edge, a sticker image of an object device to a near edge, wherein a sticker is attached to a surface of the object device, and the sticker image comprises an image of the sticker. The method further includes querying, at the far edge, label information of the object device. The method further includes receiving, at the far edge from the near edge, a classification result from classifying the sticker image. The method further includes comparing, at the far edge, the classification result with the label information. The method further includes sending, from the far edge, the sticker image to a cloud via the near edge in response to determining that the classification result is not matched with the label information.

    ADAPTIVE OBJECT DETECTION
    42.
    发明公开

    公开(公告)号:US20240233311A1

    公开(公告)日:2024-07-11

    申请号:US18562784

    申请日:2021-06-30

    CPC classification number: G06V10/25 G06T3/40 G06T7/11 G06T7/62 G06V2201/07

    Abstract: Implementations of the present disclosure provide a solution for object detection. In this solution, object distribution information and performance metrics are obtained. The object distribution information indicates a size distribution of detected objects in a set of historical images captured by a camera. The performance metric indicates corresponding performance levels of a set of predetermined object detection models. At least one detection plan is further generated based on the object distribution information and the performance metric. The at least one detection plan indicates which of the set of predetermined object detection models is to be applied to each of at least one sub-image in a target image to be captured by the camera. Additionally, the at least one detection plan is provided for object detection on the target image. In this way, a balance between the detection latency and the detection accuracy may be improved.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM

    公开(公告)号:US20240233306A9

    公开(公告)日:2024-07-11

    申请号:US18278980

    申请日:2021-11-10

    Inventor: Masato TOKUTAKE

    CPC classification number: G06V10/25 G06T7/13 G06T7/62 G06V10/761 G06V2201/07

    Abstract: The present invention is to predict a production amount of a target object with higher accuracy.
    An information processing device that predicts a production amount of a target object, the information processing device including: an area extraction module configured to extract a target object area in which the target object exists in a photographed image of the target object photographed by a photographing device; a correction module configured to correct a size of the target object area on the basis of a distance from the photographing device to the target object, detected by a distance sensor; and a prediction module configured to predict the production amount of the target object on the basis of a size of the target object area corrected by the correction module.

    SYSTEMS AND METHODS FOR TRACKING AN INTERACTIVE OBJECT

    公开(公告)号:US20240233138A9

    公开(公告)日:2024-07-11

    申请号:US18485989

    申请日:2023-10-12

    CPC classification number: G06T7/20 G06T7/70 G06V10/141 G06V10/60 G06V2201/07

    Abstract: An interactive object control system includes one or more processors and memory storing instructions, that when executed by the one or more processors cause the one or more processors to determine a respective signal strength of respective signals received at communication circuitry from respective interactive objects of multiple of interactive objects in an interactive environment. The instructions, when executed by the one or more processors, cause the one or more processors to select a best candidate interactive object from the multiple of interactive objects based on the respective signal strength of the respective signals and send instructions to the best candidate interactive object to activate one or more object emitters of the best candidate interactive object.

    IMAGE PROCESSING METHOD AND APPARATUS
    45.
    发明公开

    公开(公告)号:US20240223737A1

    公开(公告)日:2024-07-04

    申请号:US18596829

    申请日:2024-03-06

    Inventor: Kang CHEN

    Abstract: Embodiments of this application disclose an image processing method and an apparatus. The method includes: obtaining an image, where the image includes a detection object; performing region division on the image based on the detection object to obtain image regions, where the obtained image regions include a first region and a second region, and the first region includes the detection object, and the second region does not include the detection object; and performing white balance correction on the image based on a color temperature value of the first region and a color temperature value of the second region. According to this solution, a white balance processing effect of an image can be improved, and display quality of the image can be improved.

    TEACHING DATA GENERATION DEVICE, TEACHING DATA GENERATION METHOD, AND IMAGE PROCESSING DEVICE

    公开(公告)号:US20240221197A1

    公开(公告)日:2024-07-04

    申请号:US18563739

    申请日:2022-05-20

    Inventor: Kohei FURUKAWA

    Abstract: A teaching data generation device includes an input unit, a control unit, and an output unit. The input unit acquires at least one input image including an image of a recognition target. The control unit performs a first process to generate polygon data along an outline of a portion determined to be the image of the recognition target in a first region of the input image. The control unit performs a second process to set segments resulting from region segmentation of the input image based on a luminance gradient. The control unit performs generation of modified polygon data resulting from modification of the polygon data based the segments set in the second process. The control unit performs addition of label information to the input image to generate teaching data. The output unit outputs the teaching data.

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