PrecisionHawk, Inc., a provider of drone technology for the enterprise, has announced PrecisionAnalytics Energy, a complete aerial mapping, modeling, and inspection platform that uses the latest generation of artificial intelligence and machine intelligence to automate analysis of their aerial data.
With PrecisionAnalytics Wind, wind-turbine operators can reduce hazardous man hours, accelerate analysis, reduce time-to-value of data and increase uptime through preventative maintenance, according to PrecisionHawk.
PrecisionAnalytics’ customers can reduce costs up to 80% and dramatically improve safety in the field. The largest source of drone operators in world, PrecisionHawk has 150-plus full-time drone pilots and more than 15,000 drone service providers in their drone pilot network.
The company’s clients are using the expansive operator network to capture data over tens-of-thousands of miles of infrastructure. It is also one of the only UAV services companies that can fly BVLOS – extending the reach of how far pilots can fly to collect data.
“The results speak for themselves: drone-based aerial intelligence helps businesses reduce costs while improving the safety of their workers and insight into their assets,” said Michael Chasen, CEO of PrecisionHawk.
PrecisionAnalytics Energy consists of several distinct market solutions, including:
PrecisionAnalytics — Wind Using. Some of the world’s leading turbine OEMs and service personnel have reduced climbs — today’s conventional manner of inspection — by 50% and the cost of their inspections by 80%. PrecisionAnalytics Wind offers intuitive reporting features and AI-driven change detection that can identify issues such as leading-edge corrosion, lightning strike damage, small cracks and wearing, gel coat degradation and UV radiation damage on an entire fleet or a particular blade. With PrecisionAnalytics Wind, turbine operators can reduce hazardous man hours, accelerate analysis, reduce time-to-value of data and increase uptime through preventative maintenance.
PrecisionAnalytics — Distribution Ground teams via today’s traditional manner of inspection typically find that 10% of distribution poles are out of compliance. In contrast PrecisionHawk, on average, found that the number is typically between 25 to 30%. PrecisionAnalytics Distribution is a cloud-based system that uses machine learning to automate the identification of distribution pole and component damage. It cross-references the uploaded imagery against distribution pole data and flags issues, producing a collection of imagery prioritized by asset health.
PrecisionAnalytics — Transmission. Utilities can replace dangerous helicopter inspections, reducing inspection costs by up to 28%, and gain unprecedented insight into the condition of assets. The platform applies machine vision to identify areas of concern such as cracked insulators, corrosion or structural issues, and aggregates collected data to provide infrastructure statistics, vegetation maps, detailed views and historical record keeping. For one top 50 American utility, PrecisionHawk’s drone services increased the areas of concern identified by 42%.
PrecisionAnalytics has been adopted and deployed across multiple energy enterprises, including solar energy.
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