Ardenna and HUVRdata have introduced a joint drone solution providing fully automated defect detection, reporting and analytics for energy infrastructure.
The platform unites Ardenna’s artificial intelligence (AI)-based automated defect detection software with HUVR’s automation and enterprise industrial asset management reporting and analytic toolset. In April, Bihrle Applied Research spun-off its computer vision and machine learning capabilities into the new Ardenna venture, which offers drone solutions for the automated detection, classification and reporting of anomalies found during the inspection of critical infrastructure. Ardenna and HUVRdata later announced a collaboration to integrate their respective capabilities into one platform.
With the new solution, the companies will initially begin in the wind power industry and will expand to oil and gas.
According to the companies, there are three main challenges enterprise asset owners face when integrating drones into their O&M work flows: incorporating data from multiple disparate sources in a way that meets IT security, scaling and access requirements; reducing data review time and minimizing human error; and integrating the reporting/analytics within existing business systems.
HUVRdata’s platform addreses the majority of the above outlined challenges, but the integration of Ardenna’s software completes the solution by automating the defect detection process, including automated defect and client labeling, the companies explain.
“Enterprise customers are integrating new methods of data capture, such as by drone, into the O&M workflow as a way to improve worker safety and supplement the types of information being collected on their assets,” says David Patterson, Ardenna’s director of business development. “By integrating our automated defect detection capabilities into HUVR’s platform, O&M groups within enterprise organizations are able to leverage these new data capture methodologies in a timely and cost-effective manner.”
