Qii.AIToday, the digital infrastructure inspection software provider announced its partnership with Skydio, the leading US drone manufacturer and global leader in autonomous aviation, to make drone inspection more efficient and effective for customers across North America.
Drones are powerful and cost-effective inspection tools, and autonomy is key to deploying these solutions for safe and reliable operation. Skydio’s adaptive scanning software, Skydio 3D Scan™, the company’s groundbreaking autonomous flight engine expands with advanced artificial intelligence (AI) skills that automate photographic data collection and mapping tasks ranging from inspecting infrastructure assets to rebuilding crime and accident scenes. Through this integration, customers using Skydio 3D Scan™ will now be able to take advantage of the Qii.AI system for computer-aided detection and identification of corrosion-related defects. This integration will make inspection of large and complex structures significantly more efficient, while reducing the time it takes inspectors to identify and classify defects.
According to Michael Cohen, CEO of Qii.AI, “Computer vision navigation and Skydio’s independent data capture capabilities, combined with the wear and tear algorithms and automated flaw detection of the Qii system, represent a leap forward in the capabilities of remote digital inspection.”
Earlier this year, Qii.AI and Skydio demonstrated the power of this integration, enabling automatic detection and quantification of corrosion on Navy ship hulls for the Canadian Ministry of National Defense in Halifax, Canada. During the day-long demonstration, Skydio drones captured data from two naval vessels, using Skydio 3D Scan to capture the data used to create digital twins for both ships before seamlessly importing models and data through the Skydio Cloud API into the Qii Automotive system – visible wear detection and classification and appreciated.
Commenting on the agreement, Qii.AI’s Cohen said: “Skydio is the clear leader in the small inspection drone market and is a natural fit for Qii.AI’s computer vision technology. We are proud and excited to collaborate with such an amazing team and delighted with the successful joint demonstration with the Canadian Department of National Defense.
To learn more about Qii.AI’s ability to detect corrosion and to see the results of Qii.AI’s integration with Skydio 3D Scan in person, visit booth #823 at the Commercial UAV Expo on September 6-8, 2022 at Caesars Forum, Las Vegas, or for more information, Visit Qii.AI online at www.qii.ai.
About Qii.AI – Qii.AI is a web-based platform that enables remote collaborative inspections of critical infrastructure assets such as bridges, dams and wind turbines. Qii.AI uses computer vision and machine learning to improve the inspection process through computer-aided detection and quantification of corrosion, cracking, loosening and other problems in steel and concrete structures. Qii.AI is the world’s first visual infrastructure inspection data software that integrates waterline (sonar) data with overwater data (optical, thermal, lidar), to provide a single, comprehensive view of your assets.
About Skydio Skydio is the leading U.S. drone manufacturer and world leader in autonomous aviation. Skydio is leveraging the breakthrough of artificial intelligence to create the world’s most intelligent flying machines for use by consumers, enterprise, and government customers. Founded in 2014, Skydio is made up of leading experts in artificial intelligence, robotics, cameras, and electric vehicles from major companies, research laboratories, and universities from around the world. Skydio designs, assembles, and supports its products in the United States from its headquarters in Redwood City, California, to deliver the highest standards of supply chain and manufacturing security. Skydio is trusted by leading companies in a wide range of industry sectors and backed by major investors and strategic partners including Andreessen Horowitz, Levitate Capital, Next47, IVP, Playground and NVIDIA.