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Shenzhen Joymate Technology Co., Ltd
SHENZHEN JOYMATE TECHNOLOGY CO., LTD
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Driver fatigue detection based on eye tracking Sensitivity Setting fatigue

Driver fatigue detection based on eye tracking Sensitivity Setting fatigue

Brand Name : Joymate
Model Number : F3
Certification : CE, ROHS, FCC
Place of Origin : Guangdong,China
MOQ : 1 piece
Price : Negotiation
Payment Terms : T/T, Western Union
Supply Ability : 30000 pieces per month
Delivery Time : sample:1-3days,mass order:10-15days
Packaging Details : 18.5*14.5*6.5cm per box
Working time : 24hours
Application : For car, SUV, truck, bus ect
Detection Rate : >98%
Color : Black
False Recognition : 1/300K Frame
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Eye-Tracking System Car Alarms Sensitivity Setting Driver Fatigue Moniter


Quick Detail:

Model Number:F3

Working time:Whole day

Technology:Advanced Face Recognition and Pupils Detection

Function:Driver fatigue detection


Product Introduction:

Drivers normally aren’t aware of fatigue driving before the actual accident happens.

One of the most important functions of early warning system is to let the drivers understand they are actually in fatigue driving

and increase their alertness level. Once the system detects the driver is under fatigue driving,

it will send a warning signal immediately to the driver.


Function:

1: Driver fatigue detection

2: Distraction and drowsiness detection

3: Driver eyesight departure from front detection

4: Voice alert function

5: Signal output to other apparatus

6:Over-speed alert


Specifications:

TypeF3
Detection Rate:>98%
False Recognition1/300K Frame
Minimum Operating Voltage8V
Maximum Operating Voltage32V
Sensitivity SettingHigh/low two levels
Alarm Activation speed settingyes
Automatic Vehicle Location system(AVL)yes
Working time:24 hours

Competitive Advantage:

1.A solid quality assurance;
2.Specializing in the production facilities and experienced workers.
3.Best service from beginning to after sales



Product Tags:

Driver fatigue warning system

      

Driver fatigue monitoring system

      
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Driver fatigue detection based on eye tracking Sensitivity Setting fatigue Images

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