Method for storing image of vehicle black box

    公开(公告)号:US10248627B2

    公开(公告)日:2019-04-02

    申请号:US15124349

    申请日:2015-03-04

    Abstract: A method for storing an image of a vehicle black box comprises: an image input step for inputting an image through a camera module; a temporary storage step for temporarily storing the inputted image in a temporarily processing unit, which consumes relatively low power, and allowing an event processing unit, which consumes relatively high power, to be in a sleep state or a power-off state; and an event storage step for allowing the event processing unit to be returned from the sleep state or the power-off state and storing in the event processing unit an image for the event from the time of the event occurrence up until before a predetermined time and from the time of the event occurrence up until after a predetermined time.

    APPARATUS AND SYSTEM FOR USAGE-BASED INSURANCE USING VEHICLE STATUS INFORMATION AND METHOD THEREOF

    公开(公告)号:US20190057453A1

    公开(公告)日:2019-02-21

    申请号:US16104655

    申请日:2018-08-17

    Abstract: Disclosed are a usage-based insurance terminal device selecting a vehicle status information corresponding to an insurance information of a vehicle and transmitting the selected vehicle status information to an external server, a system, and a method thereof. A user (a driver or an owner of the vehicle) gets discount on car insurance premium, and an insurance company provides a variety of insurance products based on the vehicle status information. In addition, since a customized service for the usage-based insurance is provided to the user or the insurance company when events occur, the events may be processed quickly.

    Apparatus and method for training a learning system to detect event

    公开(公告)号:US10650277B2

    公开(公告)日:2020-05-12

    申请号:US15789361

    申请日:2017-10-20

    Abstract: The present disclosure relates to apparatus and method for training a learning system to detect event. The present disclosure provides apparatus and method for training a learning system that includes an event related keyword collecting unit that collects an event related keyword inputted by a user, a related keyword collecting unit that collects at least one related keyword from a word database by transmitting an event related keyword to the word database, an event related image collecting unit that collects at least one event related image that is related to a search formula from an image database by transmitting the search formula to the image database, and a training unit that trains a learning system by communicating with the learning system with a use of an event related image as training data. In consequence, it is capable of setting a specific event to be detected by an apparatus for training a learning system by a user after a system is installed, and it is possible to train a learning system sustainably and sufficiently regarding a specific event and achieve a high accuracy of training the learning system.

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