Draganfly Inc. announced it has been selected by Windfall Geotek and has entered into a letter of intent with Windfall Geotek, to help develop an Artificial Intelligence driven unmanned aerial systems solution for landmine detection in the defense, humanitarian, and other sectors which the companies have expertise in.

Windfall Geotek has been a data services company and a leader in the use of AI and advanced knowledge-extraction techniques since 2005. The terms of the LOI include Windfall Geotek contracting Draganfly to conduct research, development and engineering support of hardware that can interface with Windfall’s AI software.

The purpose of the LOI is to further commercialize Windfall Geotek’s AI driven solution for the detection and elimination of Land Mines, Unexploded Ordinance, and Improvised Explosive devices via the use of UAS. Governments and Non-profits allocated nearly US$700 million in combined international and national support for mine action in 2018 and the economic impact of landmines is estimated at $100 billion1. The closing of the transaction is subject to the parties achieving certain milestones prior to closing.

“We are extremely excited to be working with Draganfly to help enhance our core product offering. AI and machine learning together can transform how mining exploration is done. When you add to it Draganfly’s engineering expertise, their industry-leading products and technology we feel the possibilities in mining, oil and gas and military applications are endless,” said Dinesh Kandanchatha, Chairman of Windfall Geotek.

“Windfall Geotek has been in business for over 15 years and their leadership has a proven track record. We are excited to be working with their team on a commercialization strategy that uses Draganfly drones, technology and expertise.” said Cameron Chell, CEO of Draganfly.

Source: Press Release

UAV DACH: Beitrag im Original auf https://www.uasvision.com/2020/03/11/draganfly-develops-drone-based-solution-for-landmine-detection/, mit freundlicher Genehmigung von UAS Vision automatisch importiert. Der Beitrag gibt nicht unbedingt die Meinung oder Position des UAV DACH e.V. wieder. Das Original ist in englischer Sprache.