Optelos and Skydio form Technology Partnership for Autonomous Asset Inspection
by DRONELIFE Staff Writer Ian M. Crosby
Today, asset inspection software provider Optelos and drone manufacturing and autonomous flight leader Skydio have announced a technology partnership that will benefit customers using drones to enhance their asset inspection programs.
Pairing Optelos’ visual data management and AI power analytics platform with Skydio’s autonomous drone technology will increase the speed and efficiency at which companies conducting asset inspections are able to address issues identified through imagery gathered by drone.
Users of Skydio autonomous drones are able to effortlessly upload data to the Optelos platform directly from the drone. The platform then rapidly analyzes and acts on that data. The integration of Optelos vision AI and automated dispatch capability enables full automation of the entire process, significantly cutting down on cost and time.
“This integration will bring significant benefit to companies seeking to further automate their asset inspection processes and at the same time extract maximum value from the collected drone data,” said Optelos CEO David Tran. “The ability to automatically ingest data collected from Skydio drones into the Optelos platform and immediately act on that data to solve inspection issues is a huge value for our customers. It’s obvious the benefits this combined solution can bring to many industries, streamlining inspections for process manufacturers, cell tower inspection, power utility inspections and many more”.
This solution fills a major role in the asset inspection process, both managing the collected imagery data and carrying out automated analysis to quickly identify problems and send trouble tickets to the clients platform of choice. The Optelos platform is also capable of creating digital twins of inspected assets and conducting comparison analyses to identify changing and degrading conditions over time.
“Skydio’s technology partnership with Optelos will bring tremendous value to process manufacturers, energy companies and wireless carriers, who use drones as part of their asset inspection programs,” said Skydio CEO Adam Bry. “The combination of Skydio’s autonomous drone technology and Optelos visual data management and analytics platform, will bring new levels of automation and help those companies better achieve their process improvement goals.”
Read more about Optelos:
- SkyCam and Optelos Partner to Provide Complete Visual Data Solution
- Optelos and FlyGuys Partner: Turnkey Data Collection
- Optelos; David Tran on Digital Twins and Turnarounds: Saving Time, Reducing Risk
- 8 Ways to Optimize Drone Asset Inspections: Optelos Puts Together Lessons Learned from Enterprise Clients
- Optelos DSP Inspector Program Proves Partnerships are the Way to Get Customers and Thrive in the Drone Industry
Read more about Skydio:
- Skydio 2+ with KeyFrame: New Capabilities and New Improvements
- Skydios New Head of Security: Tackling Cybersecurity for Drones
- Autonomous Drones for Property Inspection: EagleView and Skydio Offer Assess™
- Autonomous Inspection: Skydio Reveals Breakthrough Advancements in Airborne AI
- Skydio Whitepaper: Why Have Most Drones Failed to Uproot Traditional Methods of Inspection?
Ian attended Dominican University of California, where he received a BA in English in 2019. With a lifelong passion for writing and storytelling and a keen interest in technology, he is now contributing to DroneLife as a staff writer.
Miriam McNabb is the Editor-in-Chief of DRONELIFE and CEO of JobForDrones, a professional drone services marketplace, and a fascinated observer of the emerging drone industry and the regulatory environment for drones. Miriam has penned over 3,000 articles focused on the commercial drone space and is an international speaker and recognized figure in the industry. Miriam has a degree from the University of Chicago and over 20 years of experience in high tech sales and marketing for new technologies.
For drone industry consulting or writing, Email Miriam.
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