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How artificial intelligence may reduce distracted driving

Statistics from the National Safety Council reveal that at least nine individuals die and about 100 are injured in the United States each day because of accidents related to distracted driving. Florida residents may be interested in learning about how artificial intelligence and visual monitoring systems may be able to attack driver distraction and reduce car accidents.

Driving while distracted currently costs society around $40 million every year. This economic impact is almost the same as what society pays when it comes to DUIs, which is $44 million. Despite the fact that everyone knows driving while distracted is dangerous, this does not stop many people from using their phone to read and send text messages, check social media or use GPS. Other ways that drivers become distracted include interacting with children or pets, eating while driving, changing the radio station and looking at incidents that happen outside their own vehicle.

Improvements in computer vision technology, algorithms and the mechanics of deep learning are being tested to monitor drivers and then alert them when they become distracted. Visual distractions can cause a person to take their eyes off the road. Manual distractions can cause a person to take their hands off the steering wheel, and cognitive distractions can cause a person to lose their focus while driving.

Engineers are looking at software algorithms that address these issues. The goal is to use artificial intelligence, like cameras inside a sensor, in order to determine what is going on inside of the vehicle and then alert drivers.

Despite all of the work that is being done to improve driver safety, car accidents still occur. Individuals who have been injured in car accidents may wish to speak with an attorney. An attorney may be able to provide information about the steps that are needed in order to receive compensation for lost wages, pain and suffering, and other things that relate to personal injury after a car crash.

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