Bottom camera with SOT23

[Bernd Walter]

Yesterday I'd placed a bunch of SOT23 transistors (3 pin).
Bottom camera didn't work because the square it uses wasn't defined very well with the 3 pins.
Occasionally the square was draw with a straight line over pin 3, instead of pin 1 to pin 2.
I had to disable the camera for this part.
Now I wonder how this is supposed to work with such devices.

[Cri S]

For this cases you have to change the pipeline. 

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[Marek T.]

I can send you tomorrow the pipeline that we use for SOT23.
Maybe is not ideal but mistakes are 1/200 no more.

[Marek T.]

Just have found my machine on the pedrive. Nothing special but works.

                           <cv-stage class="org.openpnp.vision.pipeline.stages.ImageCapture" name="0" enabled="true" settle-first="true"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.ImageWriteDebug" name="13" enabled="false" prefix="bv_source_" suffix=".png"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.BlurGaussian" name="10" enabled="true" kernel-size="3"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.MaskCircle" name="4" enabled="true" diameter="200"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.ConvertColor" name="1" enabled="true" conversion="Rgb2Gray"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.Normalize" name="2" enabled="false"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.Threshold" name="12" enabled="true" threshold="190" auto="false" invert="false"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.BlurGaussian" name="17" enabled="false" kernel-size="7"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.Threshold" name="18" enabled="false" threshold="150" auto="false" invert="false"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.MinAreaRect" name="result" enabled="true" threshold-min="150" threshold-max="255"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.ImageRecall" name="14" enabled="true" image-stage-name="0"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.DrawRotatedRects" name="8" enabled="true" rotated-rects-stage-name="result" thickness="1" draw-rect-center="false" rect-center-radius="135" show-orientation="false"/>
                           <cv-stage class="org.openpnp.vision.pipeline.stages.ImageWriteDebug" name="15" enabled="false" prefix="bv_result_" suffix=".png"/>
     or                      
                        <cv-stage class="org.openpnp.vision.pipeline.stages.CreateFootprintTemplateImage" name="template" enabled="true"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.ImageWriteDebug" name="debug_template" enabled="true" prefix="fidloc_template_" suffix=".png"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.ConvertColor" name="template_gray" enabled="true" conversion="Bgr2Gray"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.ImageCapture" name="image" enabled="true" settle-first="true"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.ConvertColor" name="image_gray" enabled="true" conversion="Bgr2Gray"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.ImageWriteDebug" name="debug_original" enabled="true" prefix="fidloc_original_" suffix=".png"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.MatchTemplate" name="match_template" enabled="true" template-stage-name="template_gray" threshold="0.699999988079071" corr="0.8500000238418579" normalize="true"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.ImageRecall" name="recall_image" enabled="true" image-stage-name="image"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.DrawTemplateMatches" name="draw_matches" enabled="true" template-matches-stage-name="match_template"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.ConvertModelToKeyPoints" name="results" enabled="true" model-stage-name="match_template"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.DrawKeyPoints" name="draw_keypoints" enabled="true" key-points-stage-name="results"/>
                        <cv-stage class="org.openpnp.vision.pipeline.stages.ImageWriteDebug" name="debug_results" enabled="true" prefix="fidloc_results_" suffix=".png"/>

[Cri S]

This is the difference about wrong and correct pipeline, the stages
are the same, just
one settings is different. Sort of fine tuning of pipeline.
The first pipeline from @Marek works after changing some settings.
Just most pipeline works if optimizing settings if one have understood
what is wrong
or how it should be.

[Marek T.]

Just the effect like @Cri shows on pic_0 I get 1/200.
Maybe it can be optimized but I've had bigger problems do improve, and it is really so occasional that not disturbing at all.

[Bernd Walter]

On Wednesday, January 24, 2018 at 5:27:07 PM UTC+1, Marek T. wrote:

Just the effect like @Cri shows on pic_0 I get 1/200.
Maybe it can be optimized but I've had bigger problems do improve, and it is really so occasional that not disturbing at all.

Yes - that's exactly what I got in 5 of 12 cases.
I'm using the default pipeline as basis for my setup.
Some testing with images showed that in FindCountours seting retrievalMode to FloodFill helped.
No experience with that change on the actual machine yet.
However, my understanding is that the pipeline has no idea about the expected object rotation.
So with an SOT23 it depends on a very good pin detection to not fail.
I wonder if there is an option to measure the part with a reference picture.

[Marek T.]

"pipeline has no idea". I've got from Cri the script to recognize the size of part to be added as stage of pipeline, didn't tested it yet. It's to prevent to place the wrong taken parts i.e. by their edge (then part have smaller size as should to be). Not sure if it may help in this case but you can test if you want. Do you want?

[Cri S]

if you post several sample images and pipeline, i can look over it.

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