Intel makes it mission accomplished with fresh new innovations


Technology giant Intel has proved its commitment to the development of unmanned aerial vehicles by unveiling a hoard of new innovations.

While exhibiting at Xponential, which is currently taking place in Denver, Intel announced updates to the commercial drone ecosystem with new hardware and software solutions.

Intel’s new tools, which include flight planning software, additional payloads, as well as obstacle avoidance, are designed to maximise the potential of aerial data and to help businesses and organisations with important flight missions.

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The new Intel Mission Control software provides planning, project management and data handling and is designed to increase workflow efficiency and enhance automation of drone flights for commercial missions. Intel Mission Control enables Intel Falcon 8+ drone operators to create 2D and 3D flight plans for commercial surveying, mapping and inspection missions.

First announced in September 2017, the Intel Insight Platform is now deployed to strategic enterprise customers across several verticals. The Intel Insight Platform is a cloud-based digital asset management system that enables customers to store, share and manage the rich data that commercial drone systems collect.

In addition to the software launches, Intel has announced three new payloads designed for inspection, surveying and mapping applications. The payloads deliver real colour, time-stamped and geo-referenced images for mapping, surveying and inspection.

“We are pleased to announce a suite of new Intel drone technology at Xponential,” said Anil Nanduri, vice president and general manager of the Intel drone team.

“Now companies can come to one supplier, and a name they know and trust, for their hardware and software needs – providing them with more tools to capture critical information about their assets, process and analyse it, and make insightful decisions for their business.”

Tags : drone softwareHardwareIntelIntel Insight PlatformIntel Mission ControlpayloadXponential
Emma Calder

The author Emma Calder

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