AirNova Deep Tech Suite
Atmospheric Physics & Computer Vision Engine
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NEXT-GEN ENVIRONMENTAL COMPUTING

Real-Time AI Sky Scanner & 60 FPS Stubble Plume Vectors

Experience AirNova's two flagship technical breakthroughs: instantaneous street-level AQI estimation from any sky photo using Dark Channel Prior (DCP) optical extinction, and 60 FPS fluid particle advection modeling agricultural stubble smoke transport from Punjab/Haryana into Delhi NCR.

ATMOSPHERIC OPTICS & EXTINCTION PHYSICS

📷 AirVision Cam: Image AQI & Dehazer

Takes any photo of the sky or urban buildings, measures aerosol scattering using the Koschmieder atmospheric law, and extracts particulate transmission to reconstruct a crystal-clear dehazed image.

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Upload a photo, click Simulate Smog, or start Live Webcam
Analyzes haze optical depth & calculates PM2.5
Estimated AQI
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Est. PM2.5
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Haze Density
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Ready to compute optical transmission across 11×11 local patches.
2D FLUID ADVECTION & REGIONAL TRANSPORT

💨 Stubble Fire Smoke Streams (Windy Style)

Simulates real-time seasonal atmospheric wind velocity vectors across Northern India. Active NASA FIRMS VIIRS fire clusters in Punjab & Haryana generate burning smoke trails that converge directly into Delhi NCR.

72h Forecast Hour: +0 Hours
Particle Density: 2,000 Particles
📍 Flow Vector: NW Continental Winds ➔ Delhi Bowl Stagnation ● 6 Active Hotspot Zones

Scientific Foundation: Atmospheric Optics & Advection

AirVision Cam implements He et al.'s Dark Channel Prior with Koschmieder extinction law. The wind stream engine models 2D advection vectors using ECMWF 10m wind fields and NASA FIRMS active fire radiometry.

I(x) = J(x)·t(x) + A·(1-t(x))