Our objective at Perceptual Robotics is to make complex processes simple, predictable and efficient by maximising the use of intelligent robotics in industry.

The first target market for Perceptual Robotics is large infrastructure inspections. Perceptual Robotics is developing drones, computer vision algorithms and cloud based systems for the autonomous detection and analysis of faults on large infrastructure.

Our first product line Dhalion, is an industry leading autonomous solution for wind turbine inspection. Dhalion brings full end to end inspection capabilities to the market, from autonomous drone data acquisition to machine learning defect identification and cloud based asset management. Our drones are expert inspectors that can ensure every part of the wind turbine is seen, and analysed for defects, providing a comprehensive report of wind turbine health. The target customers are existing teams, who will be able to use the system as a tool, without extensive training or piloting skills.

Our approach ties together the acquisition and analysis to make every part of the process automatic. This is accomplished by the unique combination of patent pending technologies leveraging the aerial systems’ sensors for the computer vision problem of defect detection.

Perceptual Robotics has attracted interest across the market, with recurrent engagements from the largest customers and with early engagements with key potential customers. This includes DNV GL, global leader in infrastructure inspections for assurance, Enel, operator of over 6000 wind turbines and several third party inspections service providers from the US, Spain, Norway, Greece and the UK.