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EMVA1288

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EMVA1288

EMVA1288 is an electronic measurement standard developed by the European Machine Vision Association (EMVA). Its purpose is to define the methods to measure and characterize image sensors and cameras that are used in machine vision. It also provides rules and guidelines on how to report results and how to write device datasheets.

Contents

The main goal of the standard is to characterize industrial cameras. Therefore, photography and television standards are not applicable. It was necessary to define a new standard specific to machine vision applications.

The standard is free to use and free to download but the user must register to EMVA to have the right to use the "EMVA1288 compliant" logo on their publications or products.

The current version of the standard is version 3.0 and is dated from end November 2010. A new release, version 3.1, is proposed as a release candidate.

Main principles

The standard only uses radiometric units like watts, joules, number of photons, volts, etc. There is no use of photometric units like lux.

The standard is made of various modules. Some modules being mandatory, others being optional. For each module, a simple mathematical model of the phenomenon or parameter to be described is built. Then, a method to acquire specific image data is defined. Finally, out of the measured data, the parameter is computed using simple formulas.

Response method

The response is a plot of the camera's output (in digital numbers) versus the impinging light (as amount of photons). The slope of this plot is the response of the camera. The deviation from an ideal straight line is a measurement of the non-linearity of the camera.

Photon transfer method

The photon transfer is a plot of the variance of the camera's output (in digital numbers squared) versus the output of the camera for the same amount of impinging photons (in digital numbers). The maximum of this curve defines the saturation capacity. The leftmost point defines the dark noise and the slope defines the noise caused by the light itself.

  • Glossary of machine vision
  • References

    EMVA1288 Wikipedia


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