UberStone OP t1_j2ma2sg wrote on January 2, 2023 at 10:56 AM

Reply to comment by muffdivemcgruff in [D] Can I use ML/AI to read the back panels of electronic components? by UberStone

What would it take to feed it an image and get text out like the comment above?

UberStone OP t1_j2m9t6n wrote on January 2, 2023 at 10:52 AM

Reply to comment by Dendriform1491 in [D] Can I use ML/AI to read the back panels of electronic components? by UberStone

Interesting. Thanks!

UberStone OP t1_j2m9per wrote on January 2, 2023 at 10:51 AM

Reply to comment by RobbinDeBank in [D] Can I use ML/AI to read the back panels of electronic components? by UberStone

I have a large amount of electronic component data I can access but I lack any sort of framework for cataloging what the individual connections are. I envision some sort of an app where a human could label individual points on a photo as a way of training.

UberStone OP t1_j2m8zyl wrote on January 2, 2023 at 10:41 AM

Reply to comment by JimmyTheCrossEyedDog in [D] Can I use ML/AI to read the back panels of electronic components? by UberStone

Good question. Basically every connection on a back panel would generate the connection type, signal type, label and input or output (or both). A simple example would be an AV Receiver with three HDMI inputs labeled VIDEO 1, VIDEO 2 and VIDEO 3. The ML/AL would recognize the actual HDMI pin, look at the corresponding label matching the pin and produce the following output.

IN-HDMI-HDMI-VIDEO1
IN-HDMI-HDMI-VIDEO2
IN-HDMI-HDMI-VIDEO3

This is good for about 80% of the components the other 20% of the connections are edge cases.