Haag Engineering Verifies the Precision and Efficacy of Using Kespry for Measuring and Inspecting Roofs
Leading Industrial Drone Maker Is First to Receive Industry Seal-of-Approval for Accuracy
MENLO PARK, Calif. – August 22, 2017 – Kespry, the leading aerial intelligence platform provider, announced that highly regarded forensic engineering, research and testing firm, Haag, has conducted an independent study analyzing the precision and efficacy of Kespry’s industrial drone platform. Kespry becomes the first company to submit its enterprise drone system to Haag for independent evaluation and to receive the firm’s seal-of-approval for roof measurements.
Haag concluded that Kespry’s Roof Measurement Tool compared favorably with its own manual results. The study found an average difference of just 0.6 percent – well within industry benchmarks – using Kespry drones rather than traditional manual field measurement methods. Haag also noted that Kespry drones could effectively and rapidly inspect roofs that would otherwise be unsafe for manual inspection without the use of harnesses, ropes and ladders.
The study examined 17 buildings of varying slopes, geometries and surface areas in the hail-prone Dallas-Fort Worth metropolitan region and calculated individual slope areas as well as total roof areas. Four of the 17 roofs selected for sampling were either too slick or too steep to reliably measure manually, without roping, which was not an issue using Kespry’s autonomous drone.
“Haag’s study showed that Kespry’s roof measurements are within the accuracy that has come to be expected within the industry,” said Justin Kestner, P.E., president / CEO and principal engineer with Haag. “Further, Kespry has demonstrated they can accurately measure a roof more safely and quickly than by hand, while greatly reducing any risk of damage to the roof or injury to the inspector.”
The proven precision and reliability of the Kespry system is why claims adjusters and insurers, such as Catastrophe Response Unit Adjusters and Hancock Claims Consultants, are now using the Kespry system to quickly, safely and accurately inspect roofs, particularly in regions prone to severe weather and hail storms.
The Kespry Drone System brings a level of accuracy not typically seen in field calculations. While Kespry can measure to the nearest millimeter, Haag recorded measurements to the nearest quarter inch for this study. In its findings, Haag noted that measurements to the nearest inch are common and acceptable within the insurance industry.
“The results of Haag’s study validate our team’s determination to deliver aerial intelligence that is just as accurate – if not more so – than measurements and calculations done manually by claims adjusters and roofing inspectors,” said George Mathew, CEO and chairman of Kespry. “We’ve reached a critical moment for the insurance industry where small, autonomous drones can complete complex roof measurements in a matter of minutes, significantly increasing the efficiency and safety of claims adjusters and roof inspectors by arming them with a new analytics-based productivity tool.”
Based in Menlo Park, Calif., Kespry is transforming how organizations capture, analyze and share business insights. Kespry develops drone hardware, software and cloud services that are fully integrated to deliver a seamless, accurate and highly efficient solution from field to finish. Founded in 2013, Kespry serves customers across North America, Europe and Australia such as Hancock Claims Consultants, Catastrophe Response Unit (CRU), Fluor, Lehigh Hanson/Heidelberg, Sully-Miller/Colas USA, and Webcor.
Haag Engineering was founded in Dallas, TX in 1924. Haag is a multi-disciplined leader in forensic engineering. Haag provides world-class damage assessment training including industry-leading certifications in wind and roofing damage assessment. Haag’s accredited laboratory performs material and product testing. Haag Construction Consulting offers expert restoration consulting and litigation support. Haag 3D Solutions provides laser scanning, 3D imaging and GIS.
Haag: Polly Prado