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BeVision M1

The BeVision M1 provides an accurate analysis of particle size and shape in the range of 0.3 - 10,000 μm. Besides, the BeVision M1 can be a vital part of the surface cleanliness test and film defects inspection.

Features and Benefits

  • Measurement range: 0.3 - 10,000 μm
  • Results in compliance with ISO 9276-6
  • Highly reproducible measurements
  • A 12Mpix high-speed CMOS camera
  • Powerful software eases your work
  • Precise auto-scanning and auto-focusing
  • 34 different particle size and shape parameters
  • Easy surface cleanliness and defects inspections

Video

How to Install and Operate BeVision M1 Video play

What is Image Analysis? Fundamentals of BeVision Series Video stop

Overview of BeVision Series | Precision in Particle Vision Video stop

Overview

The BeVision M1 provides an accurate analysis of particle size and shape in the range of 0.3 - 10,000 μm. Besides, the BeVision M1 can be a vital part of the surface cleanliness test and film defects inspection.

 

Through the precise auto-scanning and auto-focusing, the BeVision M1 capture high quality images, offering a full view without particle loss and distortion. 

 

The BeVision software helps you evaluate particle size and shape from 34 different aspects, and further organizes the data into an all - around validation of particles.

BeVision-M1-high-speed-CMOS-camera

1. Why Image Analysis Method? 

 

  • Easy
    Capture an image of particles, identify particles, then measure their size and shape. Every step of image analysis is easy and clear.

 

  • Shape analysis
    Based on a direct view of particles, it is possible to analyze not only the size of particles, but also their shape. 

 

  • Seeing is believing
    The image analysis method determines the size and shape of every individual particle and then sums it up to form a statistic. Details of particle size or shape distribution can be accurately provided.

 

2. Why Static Image Analysis Method?

 

  • Clear vision
    In static image analyzers, precision microscopes and high-resolution cameras are specialized for high - quality particle images. 

 

  • Undersized particle sensitivity
    The static image analysis method is sensitive to undersized particles; it is even possible to estimate the size of undersized particles.

 

  • Small sample volume
    The static image analysis method requires a small volume of samples. A few drops of emulsions or a few micrograms of powders are enough to do a measurement.

 

3. Efficient Scanning Mode and Limit - breaking Panoramic Mode 

 

3.1 Scanning Mode 

The workflow of the BeVision M1 scanning mode is to capture an image first, then analyze the image while moving the stage, capture the next image once the stage has reached a new position, and repeat.


The BeVision software will display real-time results during the scanning process. The scanning mode is widely welcomed in different industries with its efficiency and reliability.

 

BeVision M1 scanning mode

 

  • Efficient and reliable scanning mode 
    Compared with the manual test, the automatic scanning process improves the test efficiency, doing the image capturing and stage moving simultaneously pushes the efficiency to the next level. The efficient scanning mode analyzes many particles in one test, thus strengthening the statistical significance of the result.

 

  • Features and benefits

* Automatic scanning measures size and shape results fast and conveniently. 

* High-precision motion control guarantees less particle loss and no repeated capture.

 

Efficient and reliable scanning mode

 

3.2 Panoramic Mode 
The panoramic mode is to stitch separate images into a full view that records all particles in a millimeter-level region and keeps their shape details. 


With a panoramic image, it is easy to measure the total number of particles or defects, and to locate and classify them based on size and shape parameters.

 

  • Features and benefits

* Automatic focus adjustment throughout scanning guarantees high-quality images and accurate results.

* Conditional filter based on size and characteristics helps particle count and classification. 

* Rescanning in a higher magnification helps in-depth analysis.

 

BeVision M1 Panoramic Mode

 

4. Particle Size and Shape Parameters 

 

BeVision-M1-Particle-Size-and-Shape-Parameters

 

4.1 Size parameters

 

Equivalent diameters: 

  • area-equivalent diameter
  • perimeter-equivalent diameter

 

Feret diameters: 

  • maximum and minimum Feret diameters, XLF ("length") 

 

Martin diameters: 

  • maximum and minimum Martin diameters

 

Legendre ellipse: 

  • major and minor axes

 

4.2 Shape parameters

 

Size difference in 2 directions: 

  • aspect ratio
  • L/W ratio
  • ellipse ratio

 

Round-likeness and rectangle-likeness: 

  • circularity (11 optional algorithms)
  • irregularity
  • compactness
  • extent
  • box ratio

 

Contour concavity: 

  • concavity
  • convexity
  • solidity

 

For elongated particles: 

  • elongation
  • straightness

 

5. Typical Applications 

BeVision M1 applications

Curated Resources

  • Industry Solution
    Additive Manufacturing Solution Particle and Powder Characterization

    2024-02-28

    Additive Manufacturing Solution - Particle and Powder Characterization

    bigClick
  • Guidebook
    Image analysis, particle parameters guidebook

    2021-04-19

    A Guide to Particle Size and Shape Parameters By Image Analysis

    bigClick

More resources

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