Iranian Technologists Make AI-Based Device to Detect Driver’s Drowsiness
“This device uses advanced artificial intelligence algorithms to continuously monitor the driver's behavior and driving patterns to detect deviations that may indicate drowsiness,” Majid Khosravi Tannak, the managing director of a technological unit stationed at the incubator center of Islamic Azad University’s Bojnord branch, told ANA.
“In case of lack of alertness and sleepiness of the driver, the driver will be warned by means of the facilities that are considered for this purpose (like calling the driver or voice alarm) and due to the appropriate size and dimensions of this device, it will not disturb driving at all,” he added.
“Having a system for contacting the driver and voice warning - HD camera with night vision capability, the correct operation of the device when the driver wears a mask and sunglasses, the right weight and dimensions, equipped with an anti-vibration camera, the ability to use at night, the ability to set up the device with 12 or 24 volt car power, and sound warning designed to operate in difficult conditions are among the important features of the device,” Khosravi Tannak said.
In a relevant development in April, researchers at a knowledge-based company in Iran that makes car driving simulators had also developed a system that detects driver’s drowsiness using AI.
"We work in the field of manufacturing different kinds of driving simulators for light and heavy vehicles, motorcycles and specific cars," Oveis Hosseini, the director of research and development department of the knowledge-based company that operates in the field of car simulation said in an interview with ANA.
He clarified that by specific vehicles he meant the ones that are used in mines. “We have been able to set up mining simulators in four mines in the country."
Stating that they have also worked in the field of driver assistance systems, Hosseini said, "A very important product of the company is the monitoring of drivers' movements using artificial intelligence. This product receives 30 features from people's faces and when the driver is drowsy, it will deliver the necessary alarms to him."
Hosseini further said that the system not only alerts the driver himself, but also the control room that monitors the driver to avert undesired incidents.
“The device was installed in a mine and passed its clinical phase and became operational; It is planned that 200 to 300 devices will be installed in the next 6 months.”
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