Joins Delft Aerial Robotics (DAR)

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Delft Aerial Robotics (DAR) announces today that it has expanded its portfolio to include a new company, Formerly known as Dutch UAS, has developed a revolutionary technology that provides a cost-effective way to monitor large areas, down to identifying and tracking individual objects.

Originally founded to combat poaching, the platform turns raw data gathered from aerial, ground, and space sensors into information that end users can act on (see attached photo). The potential applications of the platform are limitless, and will allow a wide range of users from industrial to environmental entities to manage their assets efficiently. CEO Camiel Verschoor said: “The partnership between and DAR is valuable to bring the platform to market. DAR’s expertise, investment, and network will accelerate the technical development as well as the time to market of our platform.

DAR’s co-founder Lucas van Oostrum said: “We invested in because we believe their artificial intelligence algorithms will change the way we are able to manage large scale assets. Not only do they enhance aerial data by extracting location and health information of individual objects, but are also able to provide statistics through industry-specific reports.”

About Delft Aerial Robotics: Delft Aerial Robotics (DAR)’s mission is to fully automate the drone workflow. DAR invests in an ecosystem of startups, researchers, and industry professionals in order to take the human completely out of the loop. It is a proud member of RoboValley, an initiative to
encourage robotics innovation by coordinating efforts between public, private, and academic entities. For more information, email [email protected] or follow our Twitter @DelftFly.

About The mission of is to give the industry worldwide the means to effectively use and understand aerial data. The platform helps end users identify, track and monitor individual objects in large areas and generate key statistics about these objects. is unique in developing artificial intelligence algorithms that are able to shine light on aerial data. For more information, email [email protected]