It all started in 2013 with nine students who entered a contest. They developed a drone that was to make it easier for conservationists in South Africa to protect rhinos from poachers.
The airplane equipped with a thermal camera took photographs of the area. Using software airborne images could be analyzed. The algorithm can learn from photos as the characteristics of an animal, human, plant or vehicle.
The construction of flight systems and flying late Dutch UAS now to partners. The startup has devoted itself to the development of algorithms and analysis of aerial images. “The result is like a Google Maps map with red pins,” says CEO and cofounder Camiel R. Verschoor (25). But instead of address data, there are pictures of animals at
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precisely
The service is targeted at inter alia farmers who want to know how dry their territory and how many animals walking around it. “Now make helicopters pictures and the animals counted by hand. But that is much less accurate,” says Verschoor. “Then it seems like there are as many animals are beside the water in a parched land.” Dutch UAS combines the data with GPS coordinates, which makes the estimate much more precise.
At present, the company is working on bringing in a customer in South Africa. In addition, the startup of one to two tons bringing to improve algorithms and market preparation of the product.
Now, the company focuses more particularly on agriculture and nature conservation. “We are still just as sweet with,” thinks Verschoor. But the service can be deployed much more widely: for example in disaster areas or for monitoring dikes. “In five years we can do things we can not yet imagine.”
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