From Big Data to Actionable Intelligence | Improved drone inspection
When conducting a drone inspection, your top priority is providing clear, accurate data that will help your clients manage and maintain their infrastructure. Proactive maintenance to repair damage will prolong the lifespan of a wind turbine, increasing revenue while saving on major repair or replacement costs. Early damage detection is critical, and big data analytics from BladeEdge℠ can help.

One of the biggest challenges of conducting UAV infrastructure inspections is capturing a complete set images. Re-flying an inspection to capture any missed areas costs valuable time and money. It’s important to capture a complete data set the first time, and being able to review the data before leaving the field is critical.

The BladeEdge℠ Capture Assurance Tool (BECAT℠) was designed to help UAV inspectors make the most of each flight. The software is easily accessible in the field, and helps inspectors extract more value from UAV inspections, transforming big data into actionable intelligence.

Saving, sharing and making sense of large data sets can also be challenging. BECAT℠ helps there, too. With an easy way to store and share a large amount of data, you can rest assured that your clients are getting all the information they need to do their jobs. The software, designed and tested for use in the field, has already helped countless UAV inspectors derive more value from big data analytics

BECAT℠ automatically prepares files for analysis by EdgeData’s BladeEdge℠ software, which leverages deep learning technology to pinpoint damaged areas on wind turbine blades. When you know you’ve captured a complete data set and can point directly to areas of concern, communicating damage reports to clients seamless.

Learn more about how BECAT℠ can help you and your team fly better inspections and provide more value to your clients.