Autonomous Machines: The Next Phase of Drone Integration

Drones Integrating with Autonomous Machines  As commercial use cases for drones continue to grow, industry giants are seeking ways to integrate their current systems and business models with UAVs. Caterpillar, the largest manufacturer of heavy equipment, recently teamed up with a leading drone manufacturer to identify areas where drones are instrumental in creating autonomous machines. While it is impressive to see the leading manufacturer of heavy equipment pushing the envelop on commercial drone use, questions still loom regarding the computing infrastructure needed to successfully control autonomous heavy machines.

Data is the cornerstone of commercial drone integration. Compute intensive applications are required to make actionable decisions from pixel based datasets. Without capable infrastructure, expensive machines will be under utilized.

With companies like Caterpillar and Kubata racing to create autonomous machines, the requirement for real time processing of drone produced data is fundamental. Multiple compute intensive applications with machine learning attributes will be required to quickly turn flight collected data into executable robotic commands.

DroneData® servers are built for maximum computing throughput using Intel’s fastest processors plus acceleration using Nvidia GPUs. The servers are dedicated hardware to each customer, reside in a Tier III data center and are available via a monthly service fee with no term commitments. If you are a company or individual preparing to integrate commercial drone operations into current systems and processes take a serious look at the benefits provided by the DroneData products line of GPU accelerated servers.