We stand for equal rights for all – regardless of gender, race, sexual orientation, age, nationality, or any other distinction.

While progress has been made in some parts of the world, equality is far from universal. That’s why we choose to speak up today and act every day, by empowering women in our company and honoring female scientists through our drone systems.

Because equality isn’t a one-day statement. It’s continuous work toward a future where everyone is heard and has equal opportunity.

The post Celebrating International Women’s Day appeared first on Perceptual Robotics.

Our systems deliver fast, accurate post-repair assessments, helping operators and even repair companies  to:

• Check repair quality and ensure standards are met

• Spot remaining or secondary damage in the repair early

• Minimise downtime

• Enhance safety for people and equipment

• Support documentation and compliance

A repair isn’t complete until it’s been validated and is appropriately monitored. By combining high-resolution drone inspections, AI analysis, and actionable insights, which include the Repair Module for Repair Management, as well as the Repair Now Ratio and the possibility to upload any pdf to a specific turbine or damage,  we ensure that every repair is not just done, but done right and monitored as needed. 

In industries where downtime is costly and safety is critical, accountability and post-repair inspections are essential.

The post Why Post-Repair Inspections Matter appeared first on Perceptual Robotics.

Across the most recent confidence surveys, including two involving experienced blade specialists reviewing data at specialist-portal level, the feedback shows consistent strengths:

• High confidence in report clarity and completeness, with scores clustering in the upper range, supporting efficient technical review and decision-making.
  • Strong confidence in damage detection and classification for the most common blade damage types, particularly erosion and open bond lines, which are critical drivers for maintenance planning.
  • Positive confidence in repair prioritisation recommendations, especially among Blade Experts working with detailed damage data.
  • Consistent confidence in repair decision support, indicating that our outputs are considered reliable inputs rather than black-box results.

Importantly, surveys of Blade Experts reflect feedback from highly experienced structural and materials specialists, using the Specialist part of the portal. While surveys on the End User Portal reflect the feedback from Repair and Asset Owner companies with experience in Repair and Cost management. Their combined input confirms that AI-supported inspections can be trusted not only at Blade Expert level, but also at Operator level.

The surveys also provide clear guidance on where to continue improving: notably expanded damage classification options, reinforcing the value of continuous feedback in strengthening confidence further.

We see this ongoing dialogue with users as essential: confidence is not claimed, it is earned, inspection by inspection, dataset by dataset.

The post Building confidence in AI-driven wind blade damage assessment appeared first on Perceptual Robotics.

Our solutions are currently deployed on:

• DJI Matrice 300 & 350 RTK, supporting complex, mission-critical inspection workflows, including tower inspections

• DJI Mavic 3 (E/T) & Matrice 4/ 4T, enabling rapid, efficient on-site inspections with minimal setup

Behind the scenes, our teams work closely on evolving our systems in step with DJI’s platform updates. This ensures consistent performance, validated workflows, and long-term value for operators.

It also allows you to use an automated inspection service regardless if you are using your old existing drone or the newest ones.

Looking ahead, support for the upcoming DJI M400 is already in development, and will allow our customers to transition smoothly to next-generation platforms without rethinking their inspection stack.

When the industry leader evolves, our solutions evolve with it.

The post DJI models we support appeared first on Perceptual Robotics.

• Ada – after Ada Lovelace, pioneer of early computing
• Bea – honouring Beatrice Shilling and Beatrice Hicks, trailblazers in aeronautical and space engineering
  
• Dot – inspired by Dorothy Vaughan, Dorothy Spicer and Dorothy Buchanan, leaders in mathematics, aviation and civil engineering
  
• Eve – named after Evelyn Boyd Granville, mathematician, computing pioneer and STEM advocate

And we’re not stopping there.

We’re already working on Flo, our newest development in wind turbine drone inspections named after Florence Violet McKenzie – Australia’s first female electrical engineer and a pioneer in radio communication. In 1939 she founded the Women’s Emergency Signalling Corps, training over 12,000 servicemen and 3,000 women in Morse code and wireless telegraphy at her own expense. Her life’s work was about equipping people with the capabilities they need, which is exactly what Flo will be designed to do: put professional-grade inspection capability directly in the hands of asset owners and service providers in the easiest way possible and with the minimum field equipment required.

Stay tuned and follow our page to be the first one to know👀.

Today we celebrate the women whose legacy continues to power innovation.

The post International Day of Women and Girls in Science appeared first on Perceptual Robotics.

Since joining last summer, Hungarian-born Estilla loves tackling the next challenge, from working on path planning to writing new features for our drones.

“It was always important to me to work in a company that has a positive goal. Now, working in the renewable energy industry, it really motivates me that by taking lots of little steps, hopefully we can make a big change over time.”

The post Meet Estilla Hefter appeared first on Perceptual Robotics.