ifm Vision Assistant O3M
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10.9 Intelligent data averaging
The "intelligent data averaging" accesses raw data of the device and calculates an average value of the
raw data. Typical applications are:
● Signal noise reduction (→ „10.9.2 Example of a signal noise reduction“)
● Increase the number of valid pixels (→ „10.9.3 Example for increasing the number of valid pixels“)
● Compensation of bright sunlight
● Improve the recognition of distant objects
● Improve the recognition of objects with low reflectivity
The set value indicates the number of raw data (frames) that are to be used for the calculation of the
average value.
The intelligent data averaging may only be used with fixed modulation frequencies
(→ „10.8.1 Fixed modulation frequencies“).
The calculation of the average value causes a motion blur effect.
► Select the "low" setting if the application has objects with high dynamics.
Test the ideal filter setting under difficult conditions:
● strong sunlight
● wet surfaces
The intelligent data averaging can reduce the sensitivity of the noise reduction filter (→ „10.4 Noise
reduction filter“).
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