Solar Engineering AI Automation: 80% Faster Lead Times
Automated 3D site modeling and hardware mapping, reducing engineering cycles from hours to minutes.
The Challenge
The client is a rapidly scaling residential solar provider tasked with delivering precise installation designs for thousands of diverse roof geometries across North America.
Core Problem
Manual site assessment and engineering were creating a massive bottleneck. Engineers spent 4-6 hours per property manually tracing roof boundaries and identifying obstructions like vents and AC units, leading to a 15% error rate in Bill of Materials (BOM) accuracy.
Failure to automate meant the client could not keep pace with sales demand, resulting in high customer churn and thousands of dollars in wasted overhead per site due to mid-installation hardware corrections.
The Solution
EnDevSols engineered an end-to-end spatial intelligence pipeline. We deployed a custom-trained YOLO model optimized on a proprietary dataset of high-resolution roof imagery to detect sub-meter obstructions. This was integrated with Gemini AI for advanced spatial reasoning, allowing the system to logically calculate optimal panel density and orientation based on real-world geometric constraints.
Secret Sauce
Unlike generic computer vision models, our 'Spatial Logic Layer' translated 2D detections into high-fidelity 3D coordinate maps, automatically generating a digital twin of the roof that accounts for tilt, azimuth, and shading profiles without human intervention.
Tech Stack
Key Results
Hard Metrics
- 80% reduction in manual engineering lead times
- 98% accuracy in obstruction detection and classification
- 100% automated generation of Bills of Materials (BOM)
Values & Impact
- Significantly improved sales conversion rates via real-time 3D visualizations for homeowners
- Eliminated engineer burnout by automating repetitive tracing tasks
"EnDevSols didn't just build an AI model; they built a strategic asset. Their spatial intelligence pipeline turned our most complex engineering bottleneck into a seamless, 15-minute automated process."— Chief Technology Officer, National Solar Installation Group
Ready to transform your complex engineering workflows with AI? Contact EnDevSols today for a custom Computer Vision consultation.
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