Success Story

reading time: 4 min

Manufacturing

Energy & Utilities

Predictive Quality

Visual Inspection

Anomaly Detection

Context

In the solar panel manufacturing industry, quality control is crucial for ensuring that each module performs efficiently and lasts over time. Even minor defects — such as misaligned cells, cracks, soldering issues, or wiring errors — can drastically affect the module's energy output and durability. Manual inspection processes are often slow and prone to human error, leading to the risk of defective panels reaching customers, potentially harming the company's reputation.

Challenge

Our client, a leading solar panel manufacturer, faced challenges in detecting micro-defects such as slight misalignments or micro-cracks that were not visible during manual inspection. These defects could reduce the performance and longevity of the panels, leading to customer dissatisfaction and higher warranty costs. The client needed a more accurate, faster, and scalable solution to improve the assembly verification process.

Assignment

We proposed the integration of navio VISION, an AI-powered visual anomaly detection system, to be deployed on the production lines. The system uses high-resolution cameras to capture images of solar panels at various assembly stages, automatically identifying defects and ensuring high-quality output.

Solution

navio VISION is deployed in the production line, utilizing high-resolution cameras to capture detailed top-down images of solar panels throughout different stages of assembly. AI-powered machine learning models analyze these images to identify misaligned cells, cracks, soldering defects, and wiring issues. The system flags defective modules for rework before they proceeded to final assembly, ensuring that only panels meeting quality standards would be shipped to customers.

The integration of navio VISION in the assembly verification process significantly enhances the precision and efficiency of the quality control system. By detecting micro-defects early, the client is able to reduce inspection time by 40%, lower costs, minimize scrap and rework by 30%, and ultimately ensure 99% of panels meet the required quality standards.

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