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  • About Unibap

    Unibap is a supplier of world class, safety critical vision processing solutions and rapidly moving into intelligent visual perception solutions. The company was founded in 2013 to commercialize state-of-the-art know-how and research in the field of intelligent automation, using visual perception formulated around ideas such as artificial visual cortex. We started in the demanding aerospace market and are now rapidly moving to industrial robust machine vision.

    Our technology platform is based on academic research and industrial cooperation. We have a unique combination of industrial skills, academic competence and industrial excellence within visual perception. Our founding partners represents a highly interdisciplinary team, with experience from rugged PC design and manufacturing, robotics, distributed software, machine vision, aerospace avionics, sensor fusioning, and advanced embedded hardware.

    Our unique platform deliver unmatched safety critical computing performance for artificial intelligence and sensor fusion methods to detect, recognize, and describe behaviors and activity seen by a plethora of advanced sensors.

    Since each sensor has its own intelligence and the node’s task is to collect already analyzed data, the accuracy increases. The speed of how information can be transformed into action increases too.

    The process makes it easier to filter data and create faster information flows. The data is purer and of better quality. Robots do not make mistakes – the analysis of large amounts of data becomes clearer.

    Fredrik Bruhn, CEO

    Our unique platform deliver unmatched safety critical computing performance for artificial intelligence and sensor fusion methods to detect, recognize, and describe behaviors and activity seen by a plethora of advanced sensors.

    Since each sensor has its own intelligence and the node’s task is to collect already analyzed data, the accuracy increases. The speed of how information can be transformed into action increases too.

    The process makes it easier to filter data and create faster information flows. The data is purer and of better quality. Robots do not make mistakes – the analysis of large amounts of data becomes clearer.

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