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Driver Monitoring System

Based on the driver's expression,gestures and movement with precision feature points tracking and motion capture technology to effectively detect the driving state in real-time. While the driver doesn't concentrate on driving, a warning signal will be indicated in time.

Fatigue Driving Warning

Accurately identify fatigue-related behavior such as yawning and closed eyes. Sending warning corresponding in time to remind the driver to correct.

Distraction Driving Alarm

When the driver appears in a distracted driving state such as looking left or right. An alarm will be issued in time to remind the driver to correct it.

Smoking Detection and Alarm

The system detects in real-time whether the driver is smoking during the driving or not. Alert the driver to make corrections in time properly. 

Using Mobile-phone Detection and Alarm

The system detects in real-time whether the driver is playing with a mobile phone while driving. Alert the driver to make corrections in time properly. 

Detection of Hands off the Steering Wheel

Drivers who leave the steering wheel with both hands during driving would easily lead to serious accidents. The system detects and alerts such behavior. 

Safety-belt Warning Detection

the system supports the detection of whether the driver is wearing the seatbelt or not to strengthen driving safety management.

Infrared Blocking Sunglasses Detection

When the driver is wearing infrared blocking sunglasses which would cause the camera wouldn't work properly. the system will indicate in time. 

Camera Occlusion Detection

When the camera is blocked or doesn't work properly, the system indicates properly.

SERVICE ADVANTAGES

Deep-digging in Innovative Technology to Explore Upgraded Services.

Based on deep learning algorithms to creat a professional backbone network with continuouse innovative capabiities in our core technologies.
Realized the closed loop of feedback between data and model, and the continuouse optimize the model training effect by enriching the data.
Through the highly quantified and highly compressed models, the configuration conditions of the hardware platform are reduced while satisfying high performance.
Successfully obtained a number of artificial intelligence related patens and sofrware copyrights.
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