A method for giving a warning by detecting a drowsiness state and an abnormal state of a specific driver of a specific vehicle based on deep learning, comprising steps of: a0) acquiring subsequent interior images of an interior of the specific vehicle, with a camera mounted in the interior of the specific vehicle, a1) a driver state detecting device performing at least part of (i) a process of inputting the interior images into a drowsiness detecting network, to thereby allow the drowsiness detecting network to detect at least one facial part of the specific driver from the interior images, detect at least one eye part of the specific driver from the facial part, with a separate blink detector detect a blinking state of at least one eye of the specific driver by tracking the pupil in the eye part, and thus determine the drowsiness state of the specific driver, wherein the driver state detecting device performs a process of instructing the drowsiness detecting network to determine the specific driver as in the drowsiness state if the eye of the specific driver is shut and if duration of the eye remaining shut is equal to or greater than a preset 1-st threshold, and (ii) a process of inputting the interior images into a pose matching network, to thereby allow the pose matching network to detect one or more body keypoints, corresponding to a body of the specific driver, from the interior images, determine whether the body keypoints match one of preset driving postures, and characterized in that the method includes determining the abnormal state of the specific driver if the body keypoints do not match any of the preset driving postures for a duration longer than a threshold value; b) if the specific driver is determined as in a hazardous state by referring to at least part of the drowsiness state of the specific driver outputted from the drowsiness detecting network and the abnormal state of the specific driver outputted from the pose matching network, the driver state detecting device performing a process of transmitting information on the hazardous state of the specific driver to one or more nearby vehicles over vehicle-to-vehicle communication to thereby allow one or more nearby drivers of the nearby vehicles to perceive the hazardous state of the specific driver. a0) acquiring subsequent interior images of an interior of the specific vehicle, with a camera mounted in the interior of the specific vehicle, a1) a driver state detecting device performing at least part of (i) a process of inputting the interior images into a drowsiness detecting network, to thereby allow the drowsiness detecting network to detect at least one facial part of the specific driver from the interior images, detect at least one eye part of the specific driver from the facial part, with a separate blink detector detect a blinking state of at least one eye of the specific driver by tracking the pupil in the eye part, and thus determine the drowsiness state of the specific driver, wherein the driver state detecting device performs a process of instructing the drowsiness detecting network to determine the specific driver as in the drowsiness state if the eye of the specific driver is shut and if duration of the eye remaining shut is equal to or greater than a preset 1-st threshold, and (ii) a process of inputting the interior images into a pose matching network, to thereby allow the pose matching network to detect one or more body keypoints, corresponding to a body of the specific driver, from the interior images, determine whether the body keypoints match one of preset driving postures, and characterized in that the method includes determining the abnormal state of the specific driver if the body keypoints do not match any of the preset driving postures for a duration longer than a threshold value; b) if the specific driver is determined as in a hazardous state by referring to at least part of the drowsiness state of the specific driver outputted from the drowsiness detecting network and the abnormal state of the specific driver outputted from the pose matching network, the driver state detecting device performing a process of transmitting information on the hazardous state of the specific driver to one or more nearby vehicles over vehicle-to-vehicle communication to thereby allow one or more nearby drivers of the nearby vehicles to perceive the hazardous state of the specific driver.