AI Clearing and DMI team to deliver insight into inaccessible construction sites
The company will link its construction monitoring software with DMI’s hydrogen drones
AI Clearing has announced a strategic partnership with Doosan Mobility Innovation (DMI), a subsidiary of the Doosan Group, that will offer unique insights into construction sites previously deemed inaccessible.
By integrating disparate data sources and drone images, AI Clearing helps construction teams track civil works in real-time. Powered by artificial intelligence, AI Clearing also offers alerts on progress and discrepancies.
DMI offers commercial drone platforms for industrial applications. Unlike conventional drones, the firm's hydrogen-powered drone can be recharged in less than three minutes and boasts significantly longer flight times.
Per the new deal, AI Clearing will integrate its construction progress tracking technology into DMI’s hydrogen-powered drones.
Hydrogen-powered drones remain in flight up to four times longer than lithium-ion polymer (LiPo) drones, eliminating the need for multiple batteries and launch points. AI Clearing and DMI’s joint solution will ensure granular visibility and near real-time aerial data insights for large, geographically complex construction sites.
DMI’s autonomous drones will collate large sets of flight data, while AI Clearing's system produces reports in minutes.
“Many construction teams find data gathering with drones challenging as they have to change batteries very often which takes time,” said Michael Mazur, CEO and co-founder of AI Clearing.
Mazur continued, “Combining DMI’s hardware with AI Clearing’s software solution allows our clients access to near real-time reporting remotely. We are very proud to form a partnership with a company from the Doosan Group, which was founded in 1896 and is one of the largest construction machinery manufacturers in the world.”
AI Clearing and DMI’s collaboration is also focused on enabling edge computing technologies for construction projects that have been hampered by software and drone range limitations.
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