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Intelligent Visual Inspection Machine To Check Close Crack Detection

Categories StreT- Close Crack Detection
Brand Name: DGAX
Model Number: StreT
Certification: CE
Place of Origin: Dongguan,China
MOQ: 1set
Price: Contact Us
Payment Terms: T/T
Supply Ability: 100sets/month
Delivery Time: 45-60days
Packaging Details: Foam inner+ exported wooden case
Function: Products appearance defect inspection
Application: Rubbers, Plastics,Cable...
Warranty: 1 Year
Core Components: AI intelligence,Servo Motor, PLC, cylinder,CCD Camera,
Power supply: AC220V±10% 50HZ/60HZ
Efficiency: 100pcs/h (Depends on size and material )
Volume: Feeding device 300L
Quantity of Camera: Depends on detection requirement
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Intelligent Visual Inspection Machine To Check Close Crack Detection

Intelligent visual inspection machine to check close crack detection

Key Features

Sub-Micron Crack Detection – Identifies closed/hairline cracks as fine as 5μm
Multi-Spectral Imaging – Combines UV fluorescence + polarized light + thermal imaging
AI-Powered Analysis – Distinguishes:
Surface-breaking cracks (even with no visible gap)
Subsurface defects (via thermal diffusion analysis)
Stress concentration zones (predictive failure points)

Technical Specifications

  • Optical Resolution: 25MP camera + 10X optical zoom

  • Detection Sensitivity:

    • Surface cracks: ≥5μm width

    • Subsurface flaws: ≥0.1mm depth

  • Inspection Speed: 100mm²/sec (adjustable scan density)

  • Lighting System:

    • UV excitation (365nm) for micro-crack highlighting

    • Cross-polarized lighting for stress visualization

Target Applications

  • Metal Components: Engine blocks, turbine blades

  • Ceramics: Insulators, biomedical implants

  • Composite Materials: Aerospace structures, pressure vessels

Advanced Detection Modes

TechnologyCrack Type DetectedDepth Penetration
UV FluorescenceSurface-breaking10μm
Lock-In ThermographySubsurface2mm
Digital Image CorrelationStress-induced micro-cracksN/A (surface strain)

Smart Features

3D Crack Mapping – Quantifies length/depth/orientation
Self-Learning Database – Improves detection for new materials
Predictive Maintenance – Tracks crack propagation over time


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