Automatic driving human eye monitoring method and device based on facial projection transformation visual projection, medium, program product and terminal

Abstract

This application provides a method, device, medium, program product, and terminal for autonomous driving eye monitoring based on facial projection transformation and visual projection. By acquiring driver image data and driving operation data in real time, and combining facial projection transformation and 3D model construction, the accuracy and reliability of driver state monitoring are significantly improved. It effectively corrects image displacement and distortion caused by driver head movement and posture changes, ensuring accurate facial information recognition. The coarse and fine eye positioning coordinates generated based on facial projection enable accurate monitoring of eye opening and closing in complex situations, thereby identifying driver fatigue. Furthermore, by constructing a 3D head model, the driver's posture at different angles can be analyzed, further enhancing monitoring accuracy. Intelligent warning commands generated by combining driving operation data and eye state can promptly alert the driver to potential safety risks, thereby effectively improving driving safety.

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