ACCELERATION OF DATA PROCESSING FOR OBJECT DETECTION

    公开(公告)号:US20190285752A1

    公开(公告)日:2019-09-19

    申请号:US16367740

    申请日:2019-03-28

    Abstract: Spatial data may be divided along an axis of the second dimension into a first data segment and a second data segment, such that the first data segment is limited to data points of the spatial data with second dimension coordinates within a first range and the second data segment is limited to data points of the spatial data with second dimension coordinates within a second range. A first processing element may execute an object detection process on the first data segment to generate a first list of objects within the first data segment. A second processing element may execute the object detection process on the second data segment to generate a second list of objects within the second data segment. A first set of objects detected in the first data segment may be combined with a second set of objects detected in the second data segment.

    Technologies for efficient identity recognition based on skin features

    公开(公告)号:US10181073B2

    公开(公告)日:2019-01-15

    申请号:US15196169

    申请日:2016-06-29

    Abstract: Technologies for efficient identity recognition based on skin features include a compute device. The compute device includes an image capture device and an image acquisition module to obtain, with the image capture device, an image that depicts the skin of the person. The compute device also includes a skin feature determination module to identify pixels in the obtained image that are associated with the skin of the person, and determine one or more features of the skin based on the identified pixels. Additionally, the compute device includes an identity determination module to generate a feature vector that includes the determined features of the skin, and analyze the feature vector with reference data to determine an identity of the person. Other embodiments are described and claimed.

    METHODS AND APPARATUS FOR ATTESTATION OF AN ARTIFICIAL INTELLIGENCE MODEL

    公开(公告)号:US20230169397A1

    公开(公告)日:2023-06-01

    申请号:US17919510

    申请日:2021-05-17

    CPC classification number: G06N20/00

    Abstract: Methods, apparatus, systems and articles of manufacture to train a model using attestation data are disclosed. An example apparatus includes a model trainer to train a machine learning model using a golden training data set received from a server to generate golden training results; and an attestation result generator to: compare the shared model training results to the golden training results; and determine if attestation of the shared model training results passes based on the comparison of the shared model training results and the golden training results.

    METHODS AND APPARATUS TO PREDICT SPORTS INJURIES

    公开(公告)号:US20220129776A1

    公开(公告)日:2022-04-28

    申请号:US17342197

    申请日:2021-06-08

    Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.

    Technologies for efficient identity recognition based on skin features

    公开(公告)号:US11281892B2

    公开(公告)日:2022-03-22

    申请号:US16247960

    申请日:2019-01-15

    Abstract: Technologies for efficient identity recognition based on skin features include a compute device. The compute device includes an image capture device and an image acquisition module to obtain, with the image capture device, an image that depicts the skin of the person. The compute device also includes a skin feature determination module to identify pixels in the obtained image that are associated with the skin of the person, and determine one or more features of the skin based on the identified pixels. Additionally, the compute device includes an identity determination module to generate a feature vector that includes the determined features of the skin, and analyze the feature vector with reference data to determine an identity of the person. Other embodiments are described and claimed.

    Sensor based data set method and apparatus

    公开(公告)号:US11163279B2

    公开(公告)日:2021-11-02

    申请号:US16303614

    申请日:2016-06-30

    Abstract: Apparatus and method to facilitate automatic detection of a device state are disclosed herein. Selectively constraining a sensor based data set associated with one or more states of a device, wherein selectively constraining the sensor based data set includes analyzing a distribution of the sensor based data set to determine whether to constrain the sensor based data set, the sensor based data set including a first class and a second class of data values. Determining a threshold associated with the sensor based data set by selecting the threshold based on a variance between the first and second classes of the sensor based data set, wherein selecting the threshold includes using a constrained sensor based data set when the sensor based data set is determined to be constrained, and wherein the threshold indicates the data values associated with the first and second classes.

    Methods and apparatus to predict sports injuries

    公开(公告)号:US11049031B2

    公开(公告)日:2021-06-29

    申请号:US15476487

    申请日:2017-03-31

    Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.

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