Drone / UAV

Explore Our Key Drone Applications

Innovation Success Story: YellowScan

Agriculture & Forestry
Precision Agriculture • Forest Management

The use of expensive and complex surveying instrument onboard aircrafts and helicopters is a thing of the past. Drones, equipped with lightweight, multi-beam Lidar can produce high-density point clouds for crop and forestry canopy, as well as the terrain underneath. By combining the relative distance and reflectivity data collected by the Lidar, roll/pitch/yaw readings from IMU, and absolute position from GPS, an accurate 3D model of the terrain can be reconstructed in a virtual environment. Ground elevation, crop volume, canopy height and biomass can now be accurately measured and analyzed.

Site Assessment • Quality Control • Maintenance

Emerging drone solution providers are helping re-shape the construction industry from site selection to preparation, project monitoring to asset management, and routine inspection to damage assessment. Drones equipped with a lightweight 3D Lidar and on-board computer can map the environment in real-time, avoid obstacles and navigate autonomously to areas that are difficult to reach even for an experienced drone pilot. Data from a secondary sensor payload, such as high-resolution camera, is collected with guaranteed repeatability and traceability because the relative position of the drone to the structure of interest is known at all times.

Oil & Gas
Asset Inspection • Maintenance

Drones are being deployed worldwide to help maximize work safety and efficiency throughout the oil and gas industry. From vertical flare stack inspection and beyond line of sight pipeline survey, to infrastructure maintenance in total darkness, the next generation of intelligent drones, equipped with 3D Lidar and other sensor payloads, are able to perform fully-autonomous operation, while delivering real-time inspection results to the operator, without the need of complex control interface.

Asset Management • Maintenance

Telecommunication towers are ideal structures to benefit from the latest development in drone and sensor technology. Various asset management and maintenance tasks, such as antenna alignment and vegetation growth, can be analyzed from the ground using the next generation of intelligent drones equipped with lightweight, 3D Lidar. In addition to real-time analytics, the Lidar technology helps the drone avoid obstacles and navigate autonomously about the structure of interest so the operator can focus on the job and not the complex surrounding environment.

Network Survey • Conductor and Tower Inspection •
Damage Investigation

Drones are now able to substitute ground vehicles, helicopters and industrial climbers as a low-cost, low-risk alternative for asset management and inspection companies servicing the utility industry. From construction and certification of transmission using [INSERT sensor technology] and internal damages via ultrasonic sensor. In all use cases, Lidar will build a 3D model of the wind turbine structure, as well as the surrounding environment. Like a navigation map, the drone could fly autonomously along the surface of each blade and stop at known positions so data can be combined over time for damage progression analysis.

Wind Energy
Blade Inspection • Maintenance

Wind turbines are being deployed worldwide as part of the global alternative energy initiative aimed to reduce carbon emission via a sustainable power source. To improve efficiency and return on investment, wind turbines are increasing in size and often located in remote areas where wind conditions are optimal. While a routine inspection can be a costly and risky assignment, such activity is paramount to guarantee operational safety. One major challenge for wind farm owners has been generating timely, precise and easy-to-consume data while simultaneously keeping down-time to a minimum. By combining lightweight Lidar sensors with a high-resolution camera, the next generation of intelligent drones can conduct full-autonomous blade inspections with traceability and repeatability while greatly improving job safety and efficiency.