Terra Drone Corporation has launched a new UAV and AI-based solution set for the maintenance of power transmission and distribution equipment.
The company says the solution was developed based on the market gaps identified after inspecting over 90,000 km of power lines by BVLOS throughout the world.
Acquired data is automatically processed and analysed by artificial intelligence algorithms which are trained to detect crossovers at the bottom of transmission lines, buildings and construction machinery.
The system identifies rust on bolts, loosening, and missing tower parts, bird’s nest, etc. and generates a smart report, highlighting the areas that require action.
The error (identified anomaly) detection system is accurate up to 92.5%.
The algorithm is developed through a process identifying anomalies in a training data set of approximately 1500 images, allowing for a custom solution to be created for the end client where all pertinent anomalies are identified and reported.
The development and training of the algorithm only need to be completed once for a particular type of asset and can be implemented easily at different locations on similar assets.
Clients also have the ability to identify the appropriate security protocols for data storage in either a cloud-based or on-premises storage environment.
These protocols can then be implemented in a custom client-specific solution.
Terra Drone detailed how the solution has been built from ground up with the aim to simplify and streamline the maintenance work for transmission and distribution facilities.