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Crosser and Basler announces partnership to simplify vision sensor analytics for Industrial IoT

Stockholm/Sundsvall, 22 March, 2019 - Crosser, a leading provider of Intelligent Edge Analytics software for Industrial IoT, today announced that the firm has initiated a close cooperation with Basler and joined Basler’s platform for best practise embedded vision projects, the imaginghub.com

The imagininghub.com is an online community for embedded vision ideas, applications and designs. Where project practice and joint work is discussed, technical articles and tutorials are shared and Basler’s expertise and network of partners for embedded vision systems are found.

“We see an increase in using video cameras as sensors in industrial IoT applications. Embedded vision systems enable valuable use cases including yield optimization, count & measure and collision avoidance, but also generate loads of data. Fortunately Crosser’s Edge Streaming Analytics solution is a perfect environment for implementing vision algorithms close to the cameras.” says Martin Thunman, CEO and co-founder of Crosser.

“Imaginghub.com is an excellent place for joint innovation and cooperation, where you find the bits and pieces that will build your successful IoT application. We see great potential in these Echo-system drivers” says Mikael Samuelsson, Director of Strategic Alliances & Partners.

Learn more at Basler imaginghub.com

For additional information or a product demonstration Please contact us

About the author

Johan Jonzon | CMO

CMO & Co-founder

Johan has 15 years background working with marketing in all possible type of projects. A true entrepreneurial spirit operating between strategic and hands-on details. He leads our marketing efforts as well as the product UI design.

Sales and market-oriented with a focus on getting the job done. He has worked with web and communication in Sweden and internationally since 1999. Since 2012, Johan has been focusing on real-time communication, and the business and operational benefits that comes with analyzing streaming data close to the data sources.

I want everything we do to be clean, simple and very, very user-friendly. We strive to be the clear leader in usability among our peers.

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