Iranian Knowledge-Based Firm Designs Smart Alert System for Drowsy Driver Detection
“We succeeded in designing a monitoring system to control drowsy drivers to prevent traffic accidents resulting from driver drowsiness and fatigue and their inattention to the road,” said Mohsen Abdul Hadi, the managing director of a knowledge-based company who has designed the internet-based monitoring system said.
“This system in a smart way tries to keep the person awake. It alerts the driver with vibration or making sound through an alarm system. The lavel of warnings varies according to the level of alertness and drowsiness of the driver,” he added.
“The researcher said that the alert system analyzes the person's behavior pattern and wakes the person up in case of drowsiness. It is used in operating room, airplane control room, train control room, etc,” he further noted.
“Through the system, one can see online in a traffic control center whether the drivers are okay or not. It is also possible to observe the geographical location and the overall behavior of the person on the way. We are planning to add a new feature to the system, which is to identify high-risk drivers while driving including drivers who have taken drugs or are drunk,” Abdul Hadi added.
He noted that the system works based on image processing, adding, “Image processing is the basis of this system. However, no images from the driver's cabin room are communicated to any other room and the driver's privacy is completely respected. In other words, if drivers are drowsy, the person's information is sent along with the level of drowsiness, but no image is sent.”
The managing director of the knowledge-based company went on to note that the monitoring system is based on monitoring the driver's behavior, adding, “It fully monitors changes in person's behavior, because sometimes people may sleep with their eyes remaining wide open. Therefore, modeling the behavior of the internal system is considered one of the most important advantages of this system.”
“This system detects people's drowsiness with 87% accuracy,” Abdul Hadi underscored.
He went on to say that their company has planned to design and produce 800 systems this year, adding that they install it in people’s vehicles for 12 million Tomans each.
“It is important to install these systems in commercial vehicles such as buses, trucks, oil and fuel tankers and coaches,” he concluded.
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