Online Double-Glass Module EL Appearance Defect Detector
The Online Double-Glass Module EL Appearance Defect Detector is a high-precision automated device integrated into production lines. It utilizes Electroluminescence (EL) imaging technology to rapidly identify internal cell defects in double-glass photovoltaic modules, such as micro-cracks, broken fingers, and cell fragments. Simultaneously, it employs a high-resolution vision system to accurately detect various surface flaws like scratches, dirt, chipped edges, bubbles, delamination, foreign objects, missing corners, and poor glass appearance. It achieves synchronous, efficient, and comprehensive detection of both EL and appearance defects, ensuring strict quality control for outgoing double-glass modules.
Product Features
Dual-Mode Synchronous Detection Technology: Integrates Electroluminescence (EL) detection and high-resolution optical appearance inspection. Performs a comprehensive, synchronous scan of both internal cell defects (micro-cracks, broken fingers, fragments, etc.) and surface appearance flaws (scratches, dirt, chipped edges, bubbles, delamination, foreign objects, missing corners, poor glass) in one pass, eliminating blind spots.
Fully Automated Online Process: Seamlessly integrated into the production line. Enables fully automatic positioning, image acquisition, analysis, and judgment of modules during production flow. Eliminates manual intervention or offline handling, significantly improving detection efficiency (up to millisecond-level per cell) and maintaining production rhythm.
High-Precision Intelligent Recognition: Employs advanced AI vision algorithms and deep learning models for millimeter-level precise analysis and classification of EL and appearance images. Effectively distinguishes complex background interference, significantly reducing false positive and false negative rates, ensuring high accuracy and reliability in defect identification.
Intelligent Data Integration & Management: Generates real-time detailed inspection reports including defect type, location, size, and images. Seamlessly interfaces with MES/factory management systems. Provides data traceability, process monitoring, and quality analysis functions, offering robust data support for process improvement and quality management.
Technical Parameters
Model Specification: YH-EL12
Applicable Process Stage: Defect Detection Pre/Post Lamination
Testing Specification: Double-Glass Monocrystalline, Polycrystalline Cell Modules
Camera Type: Professional Industrial Cameras
Resolution: EL: 60 Megapixels, Dual Appearance: 24 Megapixels
Imaging Mode: 12-Camera Mode
Sensitivity: Detects cracks narrower than 0.03mm
Loading Method: Automatic Loading/Unloading
Detection Method: Online Automatic Detection
Effective Test Area: 2600×1500mm
Stabilized Power Supply: 60V/20A
Image Acquisition Time: 100~700ms
Power Supply: 220V/50 Hz
Equipment Dimensions: 3095×2220×1665mm
Product Applications
Online Production Line Quality Inspection: Integrated at the end of the PV module automated production line. Performs high-speed, fully automatic EL and appearance defect detection on newly encapsulated modules. A core step to ensure outgoing product quality and control production yield.
Laboratory Fine Analysis: Applied in laboratories of manufacturing enterprises or third-party testing institutions. Enables deeper, more precise defect diagnosis, process effect evaluation, and failure analysis on raw materials (e.g., cells), process samples, and finished modules.
Power Plant O&M and Diagnosis: Used (often via portable or mobile EL devices) during PV power plant construction (checking installation damage) and operation (locating faulty modules like hot spots, micro-cracks, PID). Facilitates on-site quality checks, performance evaluation, and fault troubleshooting.
R&D and Certification Testing: Serves module R&D institutions and certification testing centers. Provides critical defect detection and quality assessment data during new product development, new material/process validation, long-term reliability studies (e.g., pre/post aging test comparison), and compliance with IEC/UL standard certification requirements.
