How does one "train" an AI with a flood of random toilet pictures and no corresponding medical data to match it with?
Anyway a chemical or biological sensor in the bowl might be more useful.
Optical could be useful if it's doing spectrographic analysis: the color of poo and urine is sometimes informative.
And oh dear, that’s all too realistic. Imagine responding to the job posting and finding out these are the images you’ll be classifying.
Then you can incorporate this into a "health care product" and charge insurance companies insane rates on personal toilet cameras.
- Deviation in consistency/texture/color/etc.
- Obvious signs related to the above (eg: diarrhea, dehydration, blood in stool).
Ultimately though, you can get the same results by just looking down yourself and being curious if things look off...
tldr: this feels like literal internet-of-shit IoT stuff.