Driver Fatigue Detection System:
market Traffic accidents are one of the most serious social problems in the world. They have been recognized as the number one public hazard endangering the safety of human life in the world today, causing at least 500,000 deaths every year. According to statistics, there are about 100,000 traffic accidents every year in the United States due to drivers falling asleep while driving. There are about 1500 accidents that caused deaths and 7.11 million cases that caused injuries. The situation is much the same in Europe. 48% of car accidents in China are caused by drivers’ fatigue driving. The direct economic losses amount to hundreds of thousands of dollars. With the development of artificial intelligence, driver fatigue detection has become an important part of automotive safety.
Driver Fatigue Detection System:
solutionsBased on advanced intelligent recognition and analysis technology of anti-fatigue driving images, the system can monitor and analyze the head movement, eyelid movement, closing frequency of eyes, gaze direction, yawning frequency, and other aspects in real time. Furthermore, it can provide local prompts and warnings for drivers in real time and offer remote real-time monitoring and alarm information for operating units and regulatory authorities. At the same time, it can provide effective management methods for driver scheduling and fatigue driving. Therefore, it can guarantee drivers’ safety, which effectively avoids dangers caused by fatigued driving.
Golong Driver Fatigue Detection System (GL-FD-B100) is an advanced intelligent prevention and control system based on driver abnormal behavior analysis algorithm.
The system can recognize the driver's driving status in real time and give alarms for dangerous driving behaviors and fatigued driving. And there are voice reminders to warn drivers to be careful. At the same time, it can automatically save abnormal driving pictures, videos, location, time, and license plate numbers, which are automatically uploaded to the vehicle management center and saved as evidence.