Defect detection in objects
Hello friends,
I'm working on a AR project which I'm planning to develop on Hololens eventually, and I'm trying to find if the order of colors in a connector does not follow the reference object. To give an example, let's say the correct order is Yellow black black and red:
and looking at this image with the wrong order, we should be able to tell the order of colors is wrong:
I'm open to use OpenCV or online learning algorithms, but I just wanted to know if anyone has an idea of a proper algorithm or approach to do so.
Thank you!
please upload your images HERE, not on imgur (which is an absolute shitsite. blocked from several countries for a reason..)
then -- what have you tried, so far ? show us !
(we won't write your program !)
I have tried Microsoft custom vision and also dlib to label both positive and negative images, but when it comes to Hololens it's not much accurate. I was thinking to use semantic segmentation and I thought I ask my question here to know if somebody had similar problem before
I can write the program myself, I just want to know what the proper "approach", or "algorithm" is. I'm new to image processing and knowing the right approach for this, would be a great help.