Teaching a long object with the vision system

Tyler_Berryman 2016-12-08

Hi guys,

An end-user brought his parts to the booth at IMTS. His company manufactures springs, and he is looking to automate the production of a few components. We tried teaching this part to the vision system, but we were unsuccessful.

I'm guessing that the part is too long and the diameter of the part is probably too small. Is there a way to workaround these limitations to be able to teach this part to the vision system? Maybe cutting the part and only teaching a specific feature of the part?

Any thoughts?

Annick_Mottard 2016-09-16

@Tyler_Berryman this part is indeed very narrow for the Vision system.

Here is one thing you could try: cut the spring so that you only keep the center part - where the loop is. When defining the Snapshot position, you should try to be as close as the application allows (the closer you can go with the Wrist Camera is 70 mm from the workplane).

zoom

Therefore, you would teach the center part of the object. When doing the part detection, the Vision system will look for that center part of the object.

Tyler_Berryman 2016-09-23

@Annick_Mottard

Thanks for the information! As you suggested, I cut the part to create a smaller part. Here is a picture of the modified spring.

The next step to teach this part to the vision system was setting up a new snapshot position. I positioned the camera at a height of about 130mm over the part and saved the position during the "Define Snapshot Position" step. From this position, the calibration grid does not fit in the camera's field of view, so I moved the camera up in order to see the entire calibration board in the camera's field of view, then I pressed the "Calibrate" button. This allows you to set a snapshot position that is close to the part and still get a good calibration. This also means that your snapshot position and the calibration position do not need to be the same position.

The next step consisted of teaching the part to the vision system. To do this, I used a smaller piece of yellow paper to provide the background needed to teach the part. I tried using a letter size piece of paper, but I was getting an error saying that the object was not present on the background. This problem was occurring because the background was much too large for the size of the part, so the vision system was having a hard time identifying the pixels corresponding to the part. To workaround this problem I cut the piece of paper to create a better ratio between the background and the part.

From here I taught this part to the vision system using the standard process. The vision system was able to create an image template of the part and was able to identify this section of the part in the original spring.

As you can see, the image template is being matched to the original part! This means that if parts are too large for the vision system, you can teach a specific feature to the vision system. Then when you put the entire part in the camera's field of view, the vision system will be able to recognize the feature that you taught.

Tyler_Berryman 2016-09-23

Here is a video of the demo!

https://www.youtube.com/watch?v=5VtRn4jNS_A&feature=youtu.be

matthewd92 2016-09-23

@Tyler_Berryman Drop the Mic, this party is over!

Annick_Mottard 2016-09-23

I'd like to give props to @Vincent_Paquin for this one! Thanks for the advice!