Innovation award for Lufft

Measurement and control technology company Lufft has been names as a winner of the Dr Rudolf Eberle, named after the former Baden-Württemberg Minister of Economics and awarded by the Ministry of Economics. Since 1985, the Baden-Württemberg innovation award has celebrated medium-sized companies in the region who have developed outstanding technological innovations in the fields of industry, trade, and technological services. Lufft’s innovative Marwis mobile road sensor impressed the 12 members of the e
November 18, 2015 Read time: 2 mins
Measurement and control technology company 6478 Lufft has been names as a winner of the Dr Rudolf Eberle, named after the former Baden-Württemberg Minister of Economics and awarded by the Ministry of Economics.

Since 1985, the Baden-Württemberg innovation award has celebrated medium-sized companies in the region who have developed outstanding technological innovations in the fields of industry, trade, and technological services.

Lufft’s innovative Marwis mobile road sensor impressed the 12 members of the expert jury, who are selected by the Ministry of Finance from the fields of business and technology. The sensor was introduced in 2014 and is a road weather information sensor that detects road conditions and environmental data reliably. Installed on vehicles, Marwis records data in real time and straight from the car. In addition to data on the road surface conditions, the sensor records data such as road surface temperature, water film height, dew point temperature, ice percentage, friction and humidity.

Lufft manager Klaus Hirzel says, “Being inaugurated into the line of exceptional and creative developers in this state with this award fills us all with pride. The Marwis sensor is a result of exceptional engineering expertise and a business plan focused on innovation rather than turnover. In doing so, we followed our credo: global thinking, advanced development, punctual and error-free availability.”

Air Quality & Weather Systems Detection, Monitoring & Machine Vision Classification & Data Collection

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