A blinking monitoring method, system, medium and product in a strong light environment

By acquiring and analyzing user eye images in strong light environments, identifying the visible and invisible parts of the pupil, and dynamically adjusting feature weights, the problem of inaccurate blink detection caused by pupil occlusion is solved, thus achieving accurate fatigue state assessment.

CN119479049BActive Publication Date: 2026-06-02SHENZHEN HUAHOM TETHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN HUAHOM TETHNOLOGY CO LTD
Filing Date
2024-10-22
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In bright light, existing blink monitoring technology cannot accurately determine when the pupil is obscured by the eyelid, resulting in inaccurate blink indicators and difficulty in predicting user fatigue levels.

Method used

By acquiring multiple user eye images captured by an infrared camera, the eyelid contour and visible portion of the pupil are determined. Combined with pre-acquired complete pupil information, the invisible portion of the pupil is predicted, and the visible pupil ratio and effective pixel ratio are calculated. The feature weights of the pupil and eyelid are dynamically adjusted to calculate the degree of eye closure.

Benefits of technology

Accurate acquisition of complete pupil information under strong light conditions improves the precision and reliability of blink state analysis, adapts to various lighting conditions, and ensures the accuracy and reliability of fatigue state assessment.

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Abstract

A blinking monitoring method, system, medium and product in a strong light environment, the method comprising: a blinking monitoring system determining a user eyelid contour and a visible part of a user pupil from a user eye image, predicting an invisible part of the user pupil based on complete pupil information of the user, and then calculating a visible pupil ratio, an effective pixel ratio, and an eyelid height-width ratio. When the difference between the visible pupil ratio and the effective pixel ratio is within a preset error range, the blinking monitoring system calculates the degree of closure of the user's eyes corresponding to the user eye image according to a first weight of the eyelid height-width ratio and a second weight of the visible pupil ratio. In a preset time period, the blinking monitoring system obtains a plurality of user eye images with the same time interval, and determines the degree of closure of the user's eyes for each user eye image in turn to evaluate the blinking of the user in the preset time period. By implementing the method, the blinking indicators of the user can be accurately obtained, thereby predicting the fatigue state of the user.
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