Grading using artificial intelligence

[Case12]

Check out Malcom Gladwells book, 'Blink'. He wrote "The Tipping Point" also. He makes a good argument that scientific analysis is completely different from human analysis. And that even cursory expert human anaysis is almost always better and correct more often (key is expert).

[Snowman]

Originally Posted by hcv123

I was guilty of loving and getting excited about the concept so much that I hadn't taken the time to understand it (nor would I have known even where to begin if I wanted to). Your explanation was an incredible, sad and necessary reality check. I suppose we'll see where things go from here.

I think most people are in the same boat, even the executives at Collectors Universe. They just see "AI" everywhere they look these days and see all the brilliant breakthroughs being made in other industries and assume it's coming to every "theater near you" for every industry, including theirs. It takes a lot of research and dedication to understand how it actually works though, and what sort of problems are and aren't good candidates for the application of AI & ML.

Originally Posted by Case12

Check out Malcom Gladwells book, 'Blink'. He wrote "The Tipping Point" also. He makes a good argument that scientific analysis is completely different from human analysis. And that even cursory expert human anaysis is almost always better and correct more often (key is expert).

Both are excellent books. Blink in particular. I love the story about the tennis coach who can predict a fault serve the moment a player begins their swing, before the ball hits the net with alarming accuracy, but doesn't know why or how he is able to predict it. He just "knows" based on his experience.

[68Hawk]

I would think that what is important in designing machine learning to detect anomalies such as re-coloring and trimming is the framing of the particular questions you are asking.

Wouldn't re-coloring involve the question: "Is all the ink laid down (non-autos) on the card of uniform droplet shape (or wet transfer or any other printing method) and 'age'? Even the saturation level (eg. height that the ink is sitting on the paper) would be different if you applied a modern ink to the stock that has a break in the surface to that which laid down at original printing.
Also It would be impossible to find ink of the same age as that used in a specific printing moment when the card sheets were first colored, if a 'red' spot luminesces (has different presentation qualities) differently to all the other red inks on the paper, you can be confident it was added at a different time.
No?

Re trimming, I'm imagining a similar question can be asked.
Whether that involves inspecting the side edge of the card's stock for a particular 'presentation' that a paper cutter leaves at its original operation, but which changes on any edge to receive a more recent cut...or some other important aspect which can universally be asked and requires a limited answer response for final judgement.

To the other aspects looking to be 'graded', I'm thinking also that it is the value of the question being asked to be machine learned that is of most importance.
I'm certainly not putting it past a hobby enthusiast or invested professional in the machine learning industry to be able to craft the kinds of questions that would lead to a satisfactory automated grading system.

Time frame? Who knows.

[Case12]

I believe it can be done. It's not magic, but it can go beyond human learning capability very, very fast. But, by the time the database is confirmed and sensors designed, the ROI is really not there for this app. It sure would be fun to do it though.
Maybe we can get Elon Musk into collecting. :-)

[doug.goodman]

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