EC01 series ceramic strip appearance inspection machine

Suitable for ceramic field, detecting appearance defects of raw materials/ceramic strips
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High stability
Marble platform with linear motor, mechanical positioning accuracy ± 0.5 microns

Detecting repeatability accuracy
Up to ± 1 micron, with a minimum detected defect of 5 microns

Automatic correction of image capture
Optional manual/automatic loading and unloading

Automatic adaptation
Consistency issues caused by different shrinkage rates in product graphics, achieving flexible detection

Self checking device function module
Optional size and area standards, as well as setting line width percentage standards for detection

Formula Management System
Paired with automatic modules, one click switch between different detection requirements

Testing itemsTesting items
Specifications
operation parameter
  • Applicable products

    Suitable for pre sintered ceramic strips such as LTCC/HTCC/MLCC

  • Effective detection range

    Maximum support 500mm (customizable according to customer needs)

  • Product import

    Support importing multiple layers of DXF/DWG/GBR drawings or matching qualified products

  • Testing content

    Defect detection of printed patterns, defect detection of filled or unfilled hole positions, measurement of graphic dimensions, thickness measurement, etc


Visual parameters
  • 2D size measurement camera

    Standard configuration: 16K black and white line array camera

  • 2D dimensional measurement accuracy

    Minimum repeatability accuracy ± 1um (may vary depending on the selected camera accuracy)

  • 2D defect detection accuracy

    Minimum recognizable accuracy ≥ 5um (may vary depending on the selected camera accuracy)

  • 3D thickness measurement accuracy

    Minimum repeatability accuracy ± 50nm

  • 3D defect detection accuracy

    Minimum recognizable accuracy ≥ 10um (may vary depending on the selected camera accuracy)



specifications
  • Visual algorithm

    Multi layer algorithm independently sets tolerance+visual AI deep learning defect classification

  • Defective product labeling

    Inkjet marking or laser marking or graphic report

  • Storage

    Real time monitoring, data storage, and data statistics functions for detection data

  • detection performance

    Missed detection rate=0%

  • Scalable functionality

    It can be equipped with batch/work order/product scanning and character OCR recognition functions, and can add silo components+motion modules or robotic arms to achieve fully automatic loading and unloading. It can also be equipped with offline software analysis function to perform overall statistical analysis on stacked data

  • 可增加料仓组件+运动模组or机械手,实现全自动上下料


Precision grading
  • pixel accuracy

    1.75μm、2.5μm、3.5μm、5μm、7μm

  • Dimensional measurement repeatability accuracy

    ±2μm、±3μm、±4μm、±5μm、±7μm

  • Minimum defect detection accuracy

    5μm、8μm、15μm、20μm、30μm

  • Visual field width

    28mm、40mm、57mm、81mm、114mm

  • UPH(Taking the 200 * 200mm product as an example)

    20、30、60、120、180

  • Single shot shooting speed (taking 200 * 200mm product as an example)

    131s、69s、38s、21s、12s


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