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Detecting Impaired Drivers | Michigan Engineering Shorts
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A new low-cost system developed by ECE researchers could effectively detect drunk, drowsy or distracted drivers before they get on the road— The Advanced Driver Assistant System (ADAS) uses 3D camera technology to conveniently bring driver safety to the streets.
“These are small, inexpensive cameras that can easily be mounted on the rearview mirror, the steering column or other places in the driver’s cockpit," said Mohammed Islam, U-M professor of electrical engineering and computer science who leads the project.
Utilizing cameras and artificial intelligence tools, the system can identify five signs that the driver may be impaired.
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The University of Michigan College of Engineering is one of the world’s top engineering schools. Michigan Engineering is home to 14 highly-ranked departments, and its research budget is among the largest of any public university.
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“These are small, inexpensive cameras that can easily be mounted on the rearview mirror, the steering column or other places in the driver’s cockpit," said Mohammed Islam, U-M professor of electrical engineering and computer science who leads the project.
Utilizing cameras and artificial intelligence tools, the system can identify five signs that the driver may be impaired.
Read more:
------
Watch more videos from Michigan Engineering and subscribe: @MichiganEngineering
The University of Michigan College of Engineering is one of the world’s top engineering schools. Michigan Engineering is home to 14 highly-ranked departments, and its research budget is among the largest of any public university.
Follow University of Michigan Engineering:
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