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3D Scan Sneak Peek - Crane Mast

This blog shares a 3D model of a construction crane mast that was generated fully autonomously using Skydio 3D Scan and Bentley ContextCapture. Read on to learn about the scientific advances behind this incredible technology, and to explore the scene for yourself in 3D.

Guillaume Delepine

  • 3D Scan Sneak Peek - Crane Mast

    This blog shares a 3D model of a construction crane mast that was generated fully autonomously using Skydio 3D Scan and Bentley ContextCapture. Read on to learn about the scientific advances behind this incredible technology, and to explore the scene for yourself in 3D.

  • Autonomous Drones for Construction: A Case Study

    This blog shares a recent article posted to CommercialUAVNews.com with Sundt Construction, summarizing our latest enterprise-focused webinar with how Skydio’s AI-driven autonomous aircraft is opening up new use cases and enabling construction businesses to scale.

  • Skydio Accelerates Part 107 Drone Businesses Thanks to Autonomy

    Skydio is working to bring about “the age of AI-driven autonomy,” where drones are no longer powered by manual operations but are defined by software and AI with native obstacle avoidance. Manually piloted drones are so easily crashed, they require a hefty investment in qualified pilots and visual observers, as well as pilot training to try to lower the risk of pilot error that would lead to loss of equipment, property damage, or worse.

  • Part 107 Drone Operator Switches from DJI to Skydio and Increases Per-Pilot Revenue 37%

    One of the best parts of my job is talking to customers and listening to their stories about the way that Skydio 2 is changing the way they fly and in some cases, the way they fundamentally do business. Today I’m excited to share with you the story of Accurate Drone Solutions.

  • Skydio’s Guidelines to Scale a Successful Drone Inspection Program

    Solving the challenge of bringing drone operations to scale has been the holy grail for many in the industry. A lot goes into this process to get buy-in and funding from executives and regulatory institutions with a lot of that revolving around being able to demonstrate multiple levels of safety and security, value, and performance metrics. And all of this usually has to happen before a program even gets started.

  • Breaking Regulatory Barriers for Bridge Inspection: NCDOT and Skydio Secure the First True BVLOS Waiver Under Part 107

    Celebrating another first-of-a-kind regulatory achievement that allows the North Carolina Department of Transportation (NCDOT) to fly Skydio drones beyond visual line of sight (BVLOS) to inspect bridges with unparalleled safety and efficiency. This waiver marks a new era in unmanned flight. Until now, the FAA had required the use of visual observers (VOs) for operations beyond visual line of sight (BVLOS).

  • NCDOT Secures Groundbreaking BVLOS Waiver for Bridge Inspection Using Skydio 2

    The FAA has granted the North Carolina Department of Transportation (NCDOT) a first-of-its-kind, state-wide approval to fly Skydio drones beyond visual line of site (BVLOS) to inspect bridges. The FAA has enabled NCDOT to conduct BVLOS activities without the use of visual observers or expensive technology designed to detect manned aircraft.

  • Drone Autonomy for Bridge Inspection. The Newest Tool on the Inspector’s Belt.

    Drones eliminate many of the pain points associated with snooper trucks and other legacy methods for bridge inspection. Drones are cheaper to buy (few thousand vs. 200k-500k for a truck), cheaper to operate (reduce cost per inspection by 75%), safer, non-intrusive to traffic, more environmentally friendly (no traffic jams)

  • Skydio 2 and the Drone Industry

    Last year we introduced Skydio R1 which was our first step on this journey. It was widely recognized as a breakthrough in autonomous flight. It allowed us to put our software to the test in the most challenging real world scenarios and gather feedback from our early customers to whom we will be forever grateful. R1 was like the Roadster of autonomous drones.