An automated system for vehicle license plate recognition, developed by researchers at Australia’s Edith Cowan University (ECU) and University of Melbourne and the University of Malaysia, could help identify dangerous drivers in real time before an incident occurs.
The system uses an artificial neural network to detect and recognize license plates under all conditions, and processes the results in seconds.
Used with facial recognition technology, the system could detect drivers talking on their phones, sleeping at the wheel, or moving suspiciously.
Said ECU's Shams Islam, “The speed and effectiveness of this new advance will transform the way we monitor traffic."
From Edith Cowan University (Australia)
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