Drone thermography in building inspections provides precise identification of issues such as heat loss, moisture intrusion, and insulation defects, even in hard-to-reach areas. This leads to faster, safer, and more cost-effective maintenance, ensuring the building's integrity and energy efficiency.
Solar panel inspection: Lillesand, Norway
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Asko in Lillesand has successfully installed over 9,000 square meters of solar panels since 2015 meeting about 20% of their annual energy demand. During the inspection, we detected a significant number of inactive cells. We were able to identify all typical faults that can reduce power production in solar plants, including inverter issues, cracked cells, hot spots etc. The detected issues were promptly addressed to get all systems fully operational again.
Wind turbine inspection: Tonstad Vindpark
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Wind turbine blade inspection using drones for acquiring detailed images for final reporting. We defined automatic drone paths for each wind turbine, enabling in such a way fast and efficient operation. The final delivery consisted of high resolution images that covered all blades, with overlapping sections so no part left uninspected.
Power line inspection with top control: Flaten – Bøylefoss
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The main task was top inspection with detailed images from the top and 360 degrees. In addition, line inspection with overview photos and detailed photos of masts on the same stretch.
Underwater mapping: Flatenfoss, Agder
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We used both drones and unmanned vessels to generate highly accurate representations of the riverbed for Arendals Fossekompani. The project deliverables included high-quality data, imagery, and detailed 3D models, providing a robust foundation for the planning and construction of a new hydropower plant.
Volume and mass calculations: Kristiansand, Norway
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Elkem Carbon produces large quantities of electrode paste and specialized carbon products for the metallurgical industry. Previously, they relied on manual labor to calculate raw material stock, a method that was time-consuming and prone to inaccuracies. By utilizing LiDAR technology and high-resolution imagery, we could deliver precise and accurate stock inventory calculations, significantly improving efficiency and reducing costs. Our calculations had a tolerance of 0.5- 1%.
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