Drones are really data gathering machines. Here’s how one startup aims to cash in

Drones are really data gathering machines. Here's how one startup aims to cash in

Drones may still be a bit of a novelty in the skies, but cottage industries are already springing up around expectations that their impact will be enormous.

Fleets of drones are already being used in fields such as law enforcement, agriculture, real estate management and construction. Many other applications are expected to burst forth as standards and regulations take shape.

Companies such as Flyspan Systems Inc. are getting in on the ground floor. The Los Angeles-based startup is developing analytics software that helps owners of drones fleets deploy their airborne devices more efficiently. Now it’s adding image recognition to alert drone owners to problems the machines spot from the sky. Up next: artificial intelligence-driven video recognition.

Flyspan launched in February 2014, just two months after Amazon.com made headlinesby announcing an audacious plan to deliver shipments directly to customers via drones. “That’s when the industry really took off,” said Flyspan Chief Executive Brock Christoval (right).

Christoval and co-founder Vinny Capobianco immediately saw the potential for commercial applications. Drones can easily reach some of the most inhospitable places on the planet, which makes them ideal for tasks like diagnosing problems on oil rigs or gas pipelines and checking cell phone towers.

Drones are data capture machines. They can stream sensor data and video feeds to central monitoring facilities for instant analysis. That’s where Flyspan fits in. It’s building a platform to capture live data from drone fleets and massage it into information its customers can use to optimize efficiency and spot problems. Its secret sauce is software that harmonizes video and data streams to enable decision-makers to precisely pinpoint the location and time of the drone fly-over.

“We let pilots do the job of flying drones so the decision-makers can sit in an office and make informed decision,” Christoval said.

The challenge is separating the wheat from the chaff. Drones deliver a lot of data, but not all of it is important to every customer or application.

Share it:
Share it:

[Social9_Share class=”s9-widget-wrapper”]

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

You Might Be Interested In

How your big data career is killing other jobs

29 Sep, 2016

There’s a lot of money to be made in data science, as a new O’Reilly report indicates. How much money? …

Read more

The 5 Hardest Things to Do in SQL

21 Aug, 2022

The 5 hardest things Josh Berry, a 15 year analytics professional, experienced while switching from Python to SQL. Offering examples, …

Read more

How to Improve Business intelligence (BI)

26 Dec, 2016

St John Ambulance Western Australia went through a big learning curve regarding its business intelligence when it made its first …

Read more

Do You Want to Share Your Story?

Bring your insights on Data, Visualization, Innovation or Business Agility to our community. Let them learn from your experience.

Get the 3 STEPS

To Drive Analytics Adoption
And manage change

3-steps-to-drive-analytics-adoption

Get Access to Event Discounts

Switch your 7wData account from Subscriber to Event Discount Member by clicking the button below and get access to event discounts. Learn & Grow together with us in a more profitable way!

Get Access to Event Discounts

Create a 7wData account and get access to event discounts. Learn & Grow together with us in a more profitable way!

Don't miss Out!

Stay in touch and receive in depth articles, guides, news & commentary of all things data.