On construction sites, industrial vehicles often face a major problem due to their large and limited visibility among their drivers amid a number of workers engaged in their work, which can lead to many unfortunate accidents.
To solve this problem, French magazine Novell Observateur said that the founders of the French company Arcore have developed a face recognition camera, equipped with artificial intelligence technology specializing in construction sites, distinguish between workers, machinery and rock obstacles, and automatically stop the engine in case of danger.
The paper pointed out that Patrick Mansui and Frank Gayro used a technology developed by the Commission's Atomic Energy and Alternative Energy laboratories, the strength of this development is to allocate artificial intelligence to a specific purpose.
Artificial intelligence changes our lives
Gyro said that car radars could not do the job done by his technology, because it determines that an obstacle is in the way of stopping the car, which does not suit a building site for many obstacles, which means that the vehicle will remain all the time standing.
He added that the same thing falls with the most advanced identification systems in smart cars, which distinguishes a pedestrian on the road or in the city, but can not do so in a location where people wore very special clothes.
He explained that the camera he developed was a "help system for drivers who could not simultaneously perceive all around them, such as a hole here or a shovel there, and constantly check that there is no one behind them."
The camera has succeeded globally, and so far the two French have worked unrivaled and sold their Blackster system worldwide, taking advantage of the international hegemony of major French construction groups such as Vinci and Boeing.
After testing the technology at their sites, French engineers took it to their main business in China, reinforcing its success story. The company has even opened two branches abroad and has sold more than 7,000 cameras in 30 countries. Dollars.