AI IN MINING
Our autonomous , industrial-grade robots can easily navigate complex environments , using onboard sensors and AI to accomplish the mission without a pilot , GPS , or a prior map
from sensors , IoT devices , mobile mapping , and autonomous systems . Leveraging advanced analytics and machine learning algorithms , this data can be processed to optimise mining procedures , anticipate equipment maintenance requirements , and enhance the quality and speed of decision-making .
Giving mines the Exyn ‘ edge ’ Since its inception in 2014 Exyn has continuously disrupted the mining technology landscape . In 2020 it unveiled the ExynAero drone , which launches at the press of a button , and navigates pilotfree through the entire stope in a single flight rapidly producing precise 3D maps , sensor data , and georeferenced models . Mining companies have recognised that these new ways of doing things are far more accurate , efficient , and safer than traditional manual methods . The growth in demand for autonomous mapping technology in the mining sector is driven by safety concerns , operational efficiency , and compliance requirements . Digital tools , like 3D modelling and geospatial analysis , are helping mining companies identify new deposits , plan extraction strategies , and optimise the use of resources .
This year it announced the ExynAero EA6 drone airframe , US-built to meet commercial customer demands . Beyond sourcing a new airframe manufacturer , Exyn was searching for a partner with a product that would be capable of evolving with them . By adopting the customised Osprey drone Exyn gains greater flexibility on future
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