IN Brief:
- RES has launched Smart Pilot for automated wind turbine blade inspection.
- The software uses standard DJI hardware and captures blade data during a single turbine stop.
- RES says the method reduces inspection time by around 25% compared with conventional approaches.
RES has launched Smart Pilot, a data-capture software tool designed to automate wind turbine blade inspections using standard drone hardware.
The system captures high-quality blade imagery during a single turbine stop using DJI drones and payloads. Conventional blade inspection often requires a turbine to be stopped three times, with each blade positioned separately for inspection. Smart Pilot reduces that process to one automated stop.
RES says the approach can reduce inspection time by around 25% compared with conventional methods. The software does not require proprietary drones, specialist cameras, or separate stabilisation systems. Inspection teams use the Smart Pilot flight application, with remote training intended to bring pilots into operation within half a day.
Captured imagery is uploaded and managed through RES’ digital platform, supporting consistent inspection records across wind assets. The system is designed around repeatable data capture and scalable deployment, with the use of common drone hardware reducing procurement and support barriers for multi-site inspection programmes.
Blade inspection is becoming more central to wind asset management as installed fleets age and turbine sizes increase. Blades are exposed to fatigue, lightning, leading-edge erosion, manufacturing defects, contamination, impact damage, and environmental wear. Small defects can become expensive repairs if they are not identified early, particularly where access windows are limited or replacement components have long lead times.
Downtime has a direct effect on wind project economics. Each inspection stop removes a turbine from generation, while offshore inspections also require vessel availability, suitable weather, trained personnel, and tight operational planning. Reducing the number of stops per turbine can improve inspection productivity and protect annual energy yield, provided image quality and defect detection remain strong.
The use of standard hardware gives the product a practical advantage in a market where inspection demand is growing quickly. Proprietary systems can offer strong performance, but they may also create cost, availability, and support constraints. A software-led approach using widely available drones can be easier to deploy across large portfolios and different regions.
Digital inspection also changes the role of blade imagery. Photographs and video are no longer only maintenance records. When captured consistently, they become a condition dataset for defect classification, repair planning, warranty discussions, life-extension decisions, and asset performance modelling. Repeatability is especially important because inconsistent imagery weakens comparison between inspection cycles.
Similar asset-management pressures are visible across transmission and generation infrastructure. Grid refurbishment work, such as planned overhead line upgrades on the south coast, depends on accurate condition assessment and scheduled intervention. Wind generation uses different assets, but the operational principle is comparable: better inspection data supports better maintenance timing.
Smart Pilot’s field performance will depend on how it handles varied turbine designs, blade lengths, site layouts, weather conditions, lighting, and operator workflows. Automated flight paths can improve consistency, but inspection programmes still require trained personnel, strong quality assurance, reliable defect classification, and clear repair follow-up.
Wind O&M is moving steadily toward planned, data-led intervention. Faster inspection is valuable on its own, but the longer-term value comes from comparable condition data across entire fleets. Software that reduces downtime while improving repeatability gives owners and operators a clearer basis for maintenance decisions before minor blade defects become larger generation losses.
