Australia Uses New Technology To Catch People Using Phones While Driving
New South Wales begins to use new cameras and artificial intelligence to identify drivers who are distracted by text messages, phone calls and social media on the road..
The Australian government wants to convince people not to use gadgets while driving as it quadruples their chances of an accident.
The world’s first system for fixing and punishing distracted drivers uses special units with two cameras. One photographs the license plate of the car, and the second with a wide-angle lens takes pictures through the windshield, which the driver’s hands are busy with..
The resulting data is sent to the road department, where artificial intelligence analyzes the images to exclude those who do not touch the gadgets. Photos of suspected illegal behavior are submitted for visual inspection to police officers before a violation notification is sent to the registered vehicle owner, along with a $ 232 fine.
By December, authorities plan to install 45 pairs of new road cameras across the state. Some of them will located permanently along the roadsides, while others will be fixed at the rear of the transport and constantly move.
During nine months of testing, two prototype cameras checked 8.5 million cars and found more than 100 thousand drivers who were holding phones in their hands (one simultaneously used a smartphone and a tablet), 16.5 thousand were fined. During this period, 35 fewer people died in road accidents in New South Wales than in the same period last year..
Government simulations show new detection cameras can prevent over 100 fatal and serious injuries in five years.
Drivers are allowed to use their phones in hands-free stands and via Bluetooth, but touching them while driving is prohibited except to hand them over to the passenger. The ban even applies to drivers who stand at a red light or are stuck in traffic.
Despite the innovations of law enforcement agencies, researchers are constantly finding new ways to deceive. recognition systems, forcing algorithms to incorrectly identify objects, distance to them, or even make them «invisible».
text: Ilya Bauer, photo: AP