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W. Blaser launches AI camera systems

For more than a decade, W. Blaser AG has been supplying BlaserVisio retrofit solutions for delivery vans, tractors and trucks in Switzerland. These camera systems provide the driver with an all-round view of the area around the vehicle and eliminate dangers in zones that are not directly visible (the so-called “blind spots”).

New BlaserVisio camera systems in the company’s product line take advantage of the latest AI technologies and ensure greater traffic safety.

BlaserVisio AI camera systems with functions such as face recognition and driver monitoring as well as pedestrian and vehicle recognition help the driver continuously and effectively monitor his condition inside the vehicle as well as the traffic situation outside the vehicle. If fatigue or distraction is detected, the driver is warned. A warning signal is also triggered if other vehicles or pedestrians are detected next to the vehicle equipped with the AI camera system. The AI camera systems provide greater safety for all road users and are suitable for use on cars, trucks, fire engines, buses, ambulances as well as other special vehicles.

“We are the first supplier to introduce AI camera systems to the Swiss market. Since we have been working for years with the renowned vehicle manufacturers such as General Dynamics (European Land Systems), aebi schmidt group, Bucher Municipal, Bucher Landtechnik, Claas, John Deere, Stadler Rail, Robert Aebi, Volvo Baumaschinen, Liebherr, menzi muck and avesco cat, we know what moves the Swiss market. With the new AI technologies, we want to make traffic in Switzerland safer. Our proven service, the long-standing and personal relationships that we maintain with our customers and suppliers are the factors that attract our sales partners,” emphasizes Lukas Graf, Managing Director of W. Blaser AG.

The BlaserVisio AI camera systems meet the standard Swiss requirements in terms of quality and technical design and are available for purchase.

Find out more information on AI camera systems:

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