- The solution was developed based on the market gaps identified after inspecting over 90,000 km of power lines by BVLOS
- The error detection system is accurate up to 92.5 per cent
- Clients can identify the security protocols for data storage in either a cloud-based or on-premises storage environment
Terra Drone Corporation has launched a new UAV and AI-based solution set for the maintenance of power transmission and distribution equipment. 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 analyzed by artificial intelligence algorithms that are trained to detect crossovers at the bottom of transmission lines, buildings and construction machinery.
Aim to simplify maintenance work for transmission
The areas that require action include rust on bolts, loosening and missing tower parts, bird’s nest etc. and generates a smart report. The error detection system is accurate up to 92.5 per cent. The algorithm is developed through a process that identified anomalies in a training data set of 1500 images.
With such an algorithm, the productivity of AI processing allows for fast actionable results to be provided to clientele. Clients will have the ability to identify the 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.
Conventional helicopter and boots-on-the-ground service also pose HSE concerns with low flying helicopters and people working in the field. UAV service and AI inspection can help in minimizing HSE concerns by reducing the number of workers in the field and eliminate low level manned helicopter missions.
This solution has been built from ground up with the aim to simplify and streamline the maintenance work for transmission and distribution facilities.
