Iranian Experts Use AI to Make Device for Detection of 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 Bojnourd 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 2024, researchers in an Iranian knowledge-based had designed and produced an intelligent warning system for automobiles to predict accident possibilities and prevent them.

Iranian researchers at a knowledge-based company have designed and built an intelligent pre-accident prediction and warning device.

“The experts at this company are working towards the development of various systems for smart vehicles using new technologies such as artificial intelligence, and we are trying to focus more on the systems for increasing the safety of cars,” said Ali Parsa, the managing director of the company.

“After reviewing various international research and commercial examples of systems related to autonomous vehicles, this company has succeeded in designing, manufacturing and producing an intelligent pre-accident warning and alert device. We have also tested and evaluated this product by designing and developing an autonomous vehicle test simulator and conducting testing it on streets and roads,” he added.

“The intelligent device for predicting a crash into the vehicle in front of the car and warning before an accident is designed and built to prevent road accidents caused by driver drowsiness or distraction,” Parsa further explained.

“This device is installed on the front part of the interior part of light or heavy vehicles to predict a possible crash into the vehicle in front of the car and prevent accidental exit from the road or road lane. It alerts the driver by creating an audio warning so that the driver quickly gathers his wits and hit the brake and does not crash,” the managing director of the company added.

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