CASE STUDY: XM2 Industrial – remote sensing from UAV

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XM2 Industrial is helping large organisations tackle complex problems by acquiring, processing and analysing new data collected from unmanned aerial vehicles (UAV).

Commonly referred to as remote sensing, this activity includes the collection of data about objects or areas from a distance, typically from satellite or aircraft. This has led to many advances in scientific research, along with the sensors capable of acquiring sophisticated data.

Remote sensing is gaining traction in broader commercial application using UAV with payload carrying a range of sensors including LiDAR, hyperspectral and imaging to collect data. The data being analysed is having significant positive impact on industries such as agriculture, asset and infrastructure management, and construction. Automation and computer vision are also being applied to the flight of the UAV, as well as in data processing and analytics.

As an example of the intersection of these emerging technologies, XM2 Industrial is developing autonomous flight systems and data processing algorithms for inspection of blade condition on wind turbines globally. Partnering with the largest wind turbine manufacturer in the world, this form of remote sensing will create highly efficient renewable energy by optimising performance, ensuring turbines remain in service uninterrupted, with longer life cycles.

The ability to use advanced analytics in the acquisition and analysis of data from UAVs is providing experts with information vital to solving problems such as food and energy security, and enabling smarter management of the natural environment and scarce resources.

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