Driver State Monitoring

 

Introduction

Driver State Monitoring (DSM) Engine detects a user's face, tracks their gaze, and determines whether their eyes are closed or blinking. This technology is based on video image data that tracks information regarding face position, head direction, facial features, gaze direction/angle, and the degree to which the eyes are closed.

The engine provides a function to register, recognize, or unregister a user's face based on tracking information. It can also detect if the camera is blocked.

 

DSM Engine provided by ThinQ.AI supports the following features:

DSM 엔진의 특징
Feature Description
Detecting the presence of a face Determines if a user’s face is present in the video
Tracking facial features Tracks a user's facial features in the video, such as eyes, nose, mouth, and facial lines
Tracking facial position and head direction Uses 3D tracking to determine facial position and head direction in the video
Tracking a user's gaze Tracks a user's gaze and determines gaze direction
Determining whether a user's eyes are closed Determines the degree to which a user’s eyes are closed
Providing a function to register, recognize, and unregister a user’s face Allows you to register or unregister a user's face through face recognition
Determining the degree to which the camera is blocked Determines the degree to which the camera is blocked by an obstacle in front of the user

 

Engine Structure

DSM Engine receives video input recorded by the camera or saved in storage media, analyzes the video, and detects relevant information before sending the result to an application.

It can receive video images and engine settings as input data, and uses them for image analysis.

 

DSM_features_arch.png

Examples of Use

DSM Engine is used in automobiles that require video-based services.

 

  • Drowsiness detection

This tracks a driver’s facial features, gaze direction, and blinking pattern to judge if the driver is falling asleep.

DSM-use-02.png

  • Driver inattention detection

This tracks a driver’s facial features, gaze direction, and blinking pattern to judge if the driver is inattentive.

DSM-use-01.png

  • User authentication

This recognizes a driver's facial features to judge whether the driver is a registered user.

DSM-use-03.png