Inspiration

Solar panels lose significant efficiency due to dust accumulation, especially in regions with high pollution and dry climates. This problem leads to wasted energy, higher maintenance costs, and unnecessary water usage. We wanted to create a smarter, greener, and more automated way to keep solar panels clean without manual labour or excessive resources. That vision led to Solar_Sage_2.0.

What it does

Solar_Sage_2.0 integrates a superhydrophobic nano-coating with an AI-powered drone system that analyzes dust patterns, identifies hotspots, and performs targeted, minimal-water cleaning. The coating reduces dust adhesion, while the drone provides intelligent mapping and efficient cleaning—boosting panel output and reducing water and labour use.

How we built it

We developed a durable nano-coating using superhydrophobic surface science. Our autonomous drone platform uses computer vision to detect dust density and determine optimal cleaning pathways. A lightweight water-spray mechanism delivers precision cleaning only where needed. Data is processed in real time using onboard AI models and IoT connectivity.

Challenges we ran into

Calibrating drone stability during close-range cleaning, optimizing coating durability under extreme weather, achieving accurate dust detection, and minimizing water usage without sacrificing cleaning performance.

Accomplishments that we're proud of

Successfully combining nano-material science with AI-driven aerial cleaning, reducing water usage by over 60%, improving solar efficiency, and demonstrating real-time dust-density mapping.

What we learned

Hands-on experience with nanotechnology, drone navigation, real-time computer vision, data processing, and integrating hardware with AI for practical field applications.

What's next for Solar_Sage_2.0

Scaling deployment for large solar farms, enhancing coating lifespan, adding predictive maintenance analytics, and partnering with renewable energy companies for real-world trials.