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The Solar Permit Revolution: How Smartphone Cameras Are Slashing the 65% Soft Cost Barrier
Rooftop solar installation in the U.S. is burdened by ''soft costs''—permitting, design, and labor—that account for up to 65% of the total price. While drones and aerial LiDAR have improved roof modeling, they still suffer from high error rates and manual correction needs. A new wave of startups (Aurora Solar, OpenSolar, NearStar, Scanifly) is bypassing these limitations by training AI on simple smartphone photos. This article analyzes the hidden economic logic behind this shift: it transforms a high-friction, expert-dependent process into a scalable, consumer-driven data capture system, potentially compressing the solar sales cycle from weeks to hours and unlocking mass-market adoption.