Case Study: Leading Solar Service Provider accelerates solar panel inspections with Nanonets

Leading Solar Service Provider - Customer Case Study

Leading Solar Service Provider needed a faster, more reliable way to inspect large solar farms. Manual inspections of hundreds of thousands of PV modules were slow, labor-intensive, and prone to human error, often taking weeks and interrupting power generation. The company turned to Nanonets and its API for solar panel image analysis.

Nanonets used custom computer vision models to analyze thermal drone images, detect issues such as disconnected panels, hotspots, and diode failures, and generate actionable findings far faster than manual review. The result was a jump in inspection speed from about 6,000 PV modules per hour to 200,000 PV modules per hour, while also reducing analysis costs and helping the customer identify faulty panels sooner, potentially saving significant replacement costs.