I have this crazy idea of adding AI features to pulse induction metal detector:
*) AI analyses signals and applies filter based on network knowledge uploaded to central database
*) Users are able to work with AI features like if they dig some signal they can enter what they have found like 1) metal JUNK 2)Good target 3) mineralization (no real target) and so on
*) When they get home they upload their target database to the server which processes the information (if it determines it adds to the database which can be reused by other users).
Applied for metal detectors (PI) with some extra processing of the signal like VoooDoo or Multiple period sampling or similar (plain PIs don't have good enough data to work with).
What do you think ?
*) AI analyses signals and applies filter based on network knowledge uploaded to central database
*) Users are able to work with AI features like if they dig some signal they can enter what they have found like 1) metal JUNK 2)Good target 3) mineralization (no real target) and so on
*) When they get home they upload their target database to the server which processes the information (if it determines it adds to the database which can be reused by other users).
Applied for metal detectors (PI) with some extra processing of the signal like VoooDoo or Multiple period sampling or similar (plain PIs don't have good enough data to work with).
What do you think ?
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