Vehicle monitoring system
In-vehicle Experience
Vehicle monitoring system
Driver Monitoring System
Last update: 28 Jun. 2024What is a Driver Monitoring System?
The Driver Monitoring System (DMS) is an important advancement in automotive safety, integrating an interior camera and Electronic Control Unit (ECU) to monitor the driver’s behavior. The DMS enhances passenger safety and meets regulatory standards by continuously assessing the driver’s attentiveness, mitigating risks of fatigue and distraction, thus reducing accidents.
Through real-time analysis, it swiftly detects signs of drowsiness or distraction, alerting the driver to refocus on the road. Additionally, the DMS empowers drivers to maintain optimal vigilance, facilitating intervention or resumption of control in Level 2 driving mode as needed, enhancing efficiency and performance. With sensors and cameras in the vehicle cabin, the DMS gains insights into the driver’s behavior, enabling proactive adaptation for a safer, personalized journey.
Overall, the Driver Monitoring System embodies a paradigm shift in automotive safety, ensuring heightened awareness and responsiveness, and stands as a beacon of innovation committed to enhancing driver safety and road safety standards.
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What are Valeo Driver Monitoring System benefits?
- Monitoring System compliant with regulations
- Camera design for optimized in-cabin integration
- Driver drowsiness and distraction detection, robust algorithm integrable in Valeo Electronic Control Unit (ECU) or in Domain Controller
- Scalable system with additional functions such as phone detection, identification, etc.
Valeo Driver Monitoring System specifications
- Camera with 1 to 2 Mpx IR Imager Resolution
- 40° to 50° Field of View
- Illumination via LED or VCSEL
- Electronic control unit (ECU) with SoC AM62 from TI
- State-of-the-art computer vision algorithms for face tracking, drowsiness and distraction detection
Unique Selling Points
- 15+ years of automotive camera experience and 8 years for 1 M-Pixel cameras (design & manufacturing)
- Custom lens design for perfect images and detection
- Machine Learning with real sleep deprivation driving multi-ethnic population
- Software for identification
35% of the drivers involved in a fatal accident due to smartphone are under 35 years old
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30%
Driver drowsiness represents up to 30% of car accidents, the main cause of fatal motorway accidents between 2016 and 2020 (26% over the past 5 years)
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24%
A German in-depth crash study established that about 24% of crashes on a German motorway were related to fatigue
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10 to 12%
The European Transport Safety Council (ETSC) reports that at least 10 to 12% of crashes were due to driver distraction
Vehicle type
- Passenger car
- Bus
- Truck
- Robot taxi
- Motorcycle
- Bike
- Droid
- Off road
