Manual inspections: effort and risk

Traditional inspections require long journeys, extreme weather conditions, and often, expose operators to hard-to-reach or potentially hazardous areas. While these methods were effective in their time, they limit both inspection frequency and the ability to detect failure early. In a context where every minute of downtime directly impacts productivity, a paradigm shift is essential.

→ Learn more about traditional inspections in wind turbines in “Traditional inspections vs. technological future”

Automatic drones and intelligent analysis The integration of automatic drones enables inspections to become more systematic, safer, and more consistent. These devices cover assets with centimetre level precision, capturing thermal and visual images that are later processed by AI algorithms. The result: anomaly detection with high accuracy without interrupting operations.

The role of humans doesn’t disappear; instead, it involves supervising and strategically analysing the data collected. This way, decisions are based on concrete, real-time information.

From corrective to preventive maintenance

With digitalised monitoring, inspections are no longer a reactive exercise, waiting for something to fail before repairing it, but have become a proactive tool for prevention.

At Uali, we work with this vision: combining robotics, artificial intelligence, and IoT to develop solutions that make inspections safer, more scalable and more sustainable.

→ Learn more about how we are driving the energy industry forward through technology in “Energy industry: before and after the application of drones and artificial intelligence”

Each flight, each image, and each piece of data collected represent an opportunity to transform how energy is managed: more information, less risk, and better decisions.