DMS Driver Status Monitoring System (DDAW)
DMS31
STONKAM DMS driver status monitoring system complies with DDAW (Driver Drowsiness and Attention Warning) regulation, effectively detecting driver fatigue and issuing timely alerts. Additionally, the system features driver identification, attention monitoring, and detection of hazardous driving behaviors. It is ideal for logistics, freight transport, public transit, and intelligent driving applications, improving driving safety while optimizing fleet management efficiency.
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Power supply |
10~36V DC |
Power consumption |
Max 4W |
Built-in camera module parameters |
FHD 1920x1080P/25f or 1920x1080P/30f |
Video output |
1CH, AHD, 1920x1080/25f or 1920x1080/30f |
Video compression |
H.264 |
Video record resolution |
720P or 1080P |
Recording parameters |
The recording file is in MP4 format, 128G Micro SD card |
Audio compression |
ADPCM |
WIFI module parameters |
802.11b/g/n 150Mbps |
Operating temperature |
-20°C ~ +60°C |
Storage temperature |
-40°C ~ +85 ℃ |
Dimension |
110x86.5x64 mm |
Weight |
200g |
GPS |
YES |
Speaker power |
Max. 2W |
Video output |
AHD/CVBS/Fast ethernet |
Network protocol |
RTSP/ISO17215 |
Why do we need a driver status monitoring system? |
STONKAM® Driver Status Monitoring System is dedicated in Safe Driving It saves worries of drivers, operating companies, insurance companies, and regulatory authorities! |
With visual imaging and deep learning technologies, Stonkam driver status monitoring system can collect driver's facial identity, head gesture and facial features and detect driver's status based on of aberrant driving behavior detection model calculation. If any abnormal driving behavior (e.g. fatigue, distraction, smoking, making phone calls, no seat belt, no driver)occur, an audible and visual alarm will be issued.
Driver behavior alarm (distraction/making phonecalls/smoking), monitor and remind the driver to driver properly
Detection of other driving behaviors (ID recognition/not wearing mask detection//infrared blocking detection/off duty detection/seat belt detection/camera occlusion detection) to enhance the efficiency of staff and vehicle manegement
How does it work?