EC03 series double-sided 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 ± 1 micron

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

    Multiple material thin film circuits, thick film circuits DPC、 Microstrip filters, thin film attenuators, power heat sinks, etc

  • Feeding type

    Whole ceramic substrate, blue film, expansion ring

  • Alignment method

    Automatic correction of feeding angle

  • Effective detection range

    Maximum support0*320mm

  • Import of standard products

    Support importing multiple layers of DXF/DWG/GBR drawings

  • Testing content

    Measurement of external dimensions, 3D thickness measurement, circuit size measurement, planar defect detection, stereoscopic defect detection



Visual parameters
  • 2D size measurement camera

    Can be equipped with cameras ranging from 5 million pixels to 65 million pixels, selected according to detection needs

  • 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

  • UPH

    60s-120s/slice(The final efficiency will depend on the type of defect detected, the number of defects, and the size of the product)

  • 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

  • 可增加料倉組件+運動模組or機械手,實現全自動上(shàng)下料


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