Yes, I know, Artificial intelligence has nothing to do with Nostalgia. On the other hand, the future could bring us some things that might be useful for us.
Let me say this first. My interest here is to know: which car identity did what in the races it participated in, or in short, what are the chassis numbers of all of the cars that ever raced. I know that this will never be solved definitely, but we can try and take into account all technological means that are available to us.
Today I had the privilege to attend a meeting at work about Data Management and Artificial intelligence. During the presentation of the latter, I heard something that sent my mind drifting.
This technology is able to derive data from graphics. The contents of the picture are there as a true fact, but AI opens up the possibilities of using the data again.
Then the next thing that crossed my mind is the age-old art of rivet-counting. Thet led me to think about the (for us) holy grail, identifying Car identities from old pictures.
Would it be possible to feed two pictures of a similar car, in different views, maybe different races, and have AI determine whether these could be the same car, or definitely not, because of some incompatible details.
In the old days, the number of rivets was a sure sign, but also some kind of exotic, hard working, way of identifying cars. In later years, I think also the placement of sponsor stickers could play a role. Only an automated analysis of pictures (with enough accuracy) could give definite answers here.
This needs of course some testing, to find out which visual details are reliable, but I think it is worthwhile to investigate.
As soon as this process works, we could be informed about the history of certain chassis, fed by details that have been too difficult to determine up until now.
I know it will at first not be too easy. You will need pictures with sufficient resolution, and a method to get a comparable view on them, accepting that in one of the pictures not all details necessary will be in view. But that is a learning process.
Any young, enthousiastic reader here feels tickled to investigate more?