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Low distance measurement #41
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Hello FloVesuv, For pixel-to-pixel offset calibration it is advisable to perform the see https://broadcom.github.io/AFBR-S50-API/group__argus__meas.html#gabfbc2d139e090be5e06930814c4bf48e (Argus_ExecuteRelativeRangeOffsetCalibrationSequence()) For highest accuracy needs you may need to create a look-up table and collect all offsets of all ranges for each device under test. For near range measurements we usually suggest the 85G variant which has a decent trade-off between limited number of illuminated pixels and enough pixels to compensate pixel-to-pixel offsets. Best regards! |
Hello goetzfrv, Thanks for your quick feedback. I've tried both pixel to pixel calibrations :
So I need to use individual pixels values, and maybe use a look-up table. Can the 85G variant compensate all theses offsets ? Best regards, |
Yes, for highest absolute accuracy for these close ranges you may need to have a look-up table. Regards, |
Hello,
I am using the AFBR-S50MV85I sensor for measurements within a range of 50 to 150mm (black surface to be measured).
I get good results around calibration, however, when I move away from it, I can have significant offsets (for example, with calibration at 100mm and a measurement at 60mm, I measure 70mm) with the measurement provided by the pixel binning algorithm.
Is this due to the sensor's limitations at short distances?
I am trying to work with the raw values of each pixel independently to weight them; some are quite close to the result (60mm), while others are completely out of tolerance.
My goal is not to redo the pixel binning algorithm but to develop my own in order to get more relevant results with the actual measurement.
What data could be useful for performing this weighting?
Can the amplitude res->Pixels[i].Amplitude be useful to me?
I saw that it is used in the PBA, but some information is missing, such as the "AbsoluteMinimumDistanceThreshold".
Regards
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