Vol 1. Defining Data: Getting decision-quality outputs from drones

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With the growing number of enterprise drone options on the market today, operators face an ever-growing number of choices. Critically, the rise of autonomy offers an entirely new way to compare drones to each other. While the previous generation of manual drones were all equally limited to 2D waypoint or manual flight, autonomous drones can perform inspection missions with entirely different flight paths. These closer, more adaptive flight patterns render the old ways of comparing drones to each other based on rudimentary camera specifications, like the number of megapixels, outdated.

This paper is the first installment in the Skydio Enterprise Drone Inspection EBook: a collection of white papers that will help enterprise drone operators from various industries make more informed decisions when choosing their enterprise drones. In this installment, we start by defining the goal: high quality datasets. But what makes a high quality dataset? Read on for our perspective, which is based on hundreds of customer interviews and combined decades of drone experience.

Read the white paper to learn:

Best practices for defining what makes a good dataset for a given application
Why legacy manual drones are not getting the job done
How Skydio solutions can safely complete jobs manual drones cannot

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