Case Studies·Renewable Energy & Cleantech

Solar Engineering AI: Automated 3D Site Modelling and Hardware Mapping for Faster Project Delivery

How a solar engineering firm used computer vision and spatial AI to automate 3D site assessment and hardware mapping — cutting engineering cycle time from hours to minutes and accelerating project lead times by ~80%.

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.

Tech Stack

PythonPyTorchYOLOv8Google Gemini Pro VisionAWS SageMakerThree.jsPostgreSQL

Key Results

Measured Impact

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

Core AI Services Used in Projects Like This

RAG Systems & AI AssistantsDocument Q&A, knowledge bases, enterprise search

Explore

AI Agents & Workflow AutomationCRM agents, document processing, automation

Explore

AI Product Engineering & AI SaaSAI MVPs, full-stack AI products, SaaS features

Explore

Need a Similar AI System?

Book a free 30-minute AI Reliability Check. We'll review your system or project idea and tell you exactly what it takes to build production-ready AI.

Get a Free AI Reliability Check View All Case Studies