SkyEyes Case Study: Solar Module Manufacturer

PROBLEM

Customer Challenges & Requirements

Industry

Solar Industry (Module Manufacturing)

Customer Requirement

Achieve 100% inspection coverage to ensure product quality, with automated classification of defect types.

Challenges Before Implementation

High AOI false-positive rates and limited ability to distinguish defect types
Required multiple operators across three shifts, resulting in higher occupational risk and employee turnover
Low efficiency of manual visual inspection, affecting yield stability

SOLUTION

NexusAI Solution

By implementing SkyEyes AI vision inspection, the customer moved from manual inspection to 100% AI-powered inspection—improving defect classification accuracy and stabilizing yield.

Equipment Integration & Data Collection

Rapidly deploy image acquisition workflows and integrate seamlessly with existing equipment and production environments.

AI-Powered Defect Detection & Classification

Build AI models from defect samples to automatically identify anomaly types and support real-time classification and analysis.

System Integration & Automated Reporting

Integrate with MES and EAP systems to automatically record AI inspection results and support process optimization.

RESULT

Results & Business Impact

3× Faster Inspection

Automated defect detection and classification significantly shorten the inspection process.

75% Reduction in Labor Requirements

Reduce staffing from full three-shift inspection teams to minimal operator supervision, lowering labor dependency and training costs.

More Accurate Defect Classification

Automatically identify defect types to support defect traceability and continuous improvement.

Significantly Lower Operational Risk

Reduce both occupational safety risks and inspection misjudgment, improving overall operational stability.

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Proven Case