In Delhi’s smog-heavy zones, robots clean every 7 days using anti-static microfiber. A 10 MW metro station rooftop saved ₹28 lakh/year in recovered energy.
Solar-powered with lithium-ion batteries (8-hour runtime). Excess energy charges during cleaning, making robots 80% energy-neutral.
Robots use antibacterial-coated microfiber and humidity sensors to clean coastal panels before algae forms. A Chennai plant reported ₹1.2 crore/year savings from avoided efficiency drops.
Robots navigate 18-degree slopes using adaptive treads. Tested in Himachal Pradesh’s hilly farms, they maintained 95% uptime even on rainy terrain.
TAYPRO’s AI models analyze satellite imagery, historical weather data, and on-site IoT sensor inputs (wind speed, humidity, PM2.5 levels) to forecast dust storms 6–12 hours in advance. For example, in Rajasthan, the system detects wind gusts >35 km/h as a precursor to sandstorms, triggering preemptive cleaning to minimize post-storm residue. Accuracy exceeds 90%, as validated in Gujarat’s 2023 cyclone season.
Yes. By preventing hotspots, TAYPRO cut fire incidents by 80% in Adani’s Rajasthan plant over 3 years.
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