Samsung Safety Truck could revolutionise road safety

Electronics giant Samsung has developed a solution that may make the problem of overtaking a truck on a single lane road a thing of the past. Developed for Argentina, whose statistics on traffic accidents are among the highest in the world, with most of these accidents occurring on two-lane roads and particularly in situations of overtaking, the Safety Truck consists of a wireless camera attached to the front of the truck, which is connected to a video wall made out of four exterior monitors located on t
June 19, 2015 Read time: 2 mins
Electronics giant 1809 Samsung has developed a solution that may make the problem of overtaking a truck on a single lane road a thing of the past.

Developed for Argentina, whose statistics on traffic accidents are among the highest in the world, with most of these accidents occurring on two-lane roads and particularly in situations of overtaking, the Safety Truck consists of a wireless camera attached to the front of the truck, which is connected to a video wall made out of four exterior monitors located on the back of the truck. The monitors give drivers behind the truck a view of what is going on ahead, even in the dark of night.

This allows drivers to have a better view when deciding whether it is safe to overtake. Another advantage of the Safety Truck is that it may reduce the risk of accidents caused by sudden braking or animals crossing the road.

Samsung led the prototype development by providing large format display samples, and conducted a test with a local B2B client.

Although the prototype truck is not currently in operation, Samsung has been able to confirm that the technology works and that this idea can definitely save the lives of many people.

The next step is to perform the corresponding tests in order to comply with the existing national protocols and obtain the necessary permits and approvals. For this, Samsung is working together with safe driving NGOs and the government.
Location Based Systems Detection, Monitoring & Machine Vision

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