Machine Vision/Computer Vision Card App

[kevinlenane]

Hi everyone - given the ongoing problems w the TPGs - I'm considering starting a side project building out a machine vision application for identifying cards that are altered or fake(starting w 33 Goudeys) A secondary goal would be to assign some basic numerical scores to things like corners and surface and centering.

I have some experience in this area having sold my machine vision (commonly known as computer vision) tech company to IAS in 2015 - so testing this out for a single set would be very straightforward. I'd like to make it freely accessible to see what(if any) utility it creates. If it works w Goudey cards then it could in theory be expanded but i am nearly certain (after the scrapbook adventure and knowing the markers for real Goudey's) that I could easily id fakes and alterations using a high res image and a decent learning library of real cards and fakes.

If I actually get a loose demo running I'll need some training images of different kinds of fakes but for now I'm just open to feedback. I think an automated grading system like this could generate some numbers that would just become one thing in many that you consider when buying a card - no slab necessary.

[jason.1969]

Love it!

Sent from my SM-G950U using Tapatalk

[Aquarian Sports Cards]

Problem is, especially with T and N cards, there is so much legit variance that I don't know what parameters you could use to detect illegitimate variance. There are trimmed cards that measure correctly and legit cards that measure small etc.

[kevinlenane]

Well that's partly why I'm starting w Goudey as there are somewhat easier
markers - but also - you can see if a card has recently been cut under magnification so t cards could work though it would be harder. I also am aware that this is not an original idea - I just happen to have a CV-MV test harness laying around so its a fairly manageable project.

[Aquarian Sports Cards]

Trust me I'm behind you 100%!

[Buythatcard]

I think that this would be an excellent project.

Do you think it would be able to detect whether a card is fake or altered while it is still sitting in the slab? We can then determine which grading companies have been doing a good job.

[MrPosadas]

I also think this idea is a great one. We use machine learning at work in a lot of different ways, and once the program is taught or learns its task then the results are pretty amazing. We normally include confidence levels with its output to give us an idea of whether we need to put eyes on the data so that would be neat to see in this application as well.

[Fuddjcal]

we have to start somewhere.

If We can replace baseball umpires by 2022 with automatic Strike calling machines, we can certainly replace the No morals, no integrity piece of sh** company like PSA.

Maybe you're the guy to do it! I wish you all the luck!!!

[theotobel]

This is a great idea! I wish you luck on your journey.

[T205 GB]

Best wishes on your journey. Let me know if you need any input.

[Leon]

Originally Posted by theotobel

This is a great idea! I wish you luck on your journey.

+2....good luck

[jnorlund]

Had a similar idea. PM'd you.