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The Coming Paradigm Shift In Metal Detection Technology Ai


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The art of detection shares common issues whether it be audio, optical, rf  or electromagnetic.  Some of the common issues are:

A: Sensitivity

B. Noise

C. False signals

and also the problems that filtering or mixing creates in trying to solve the above issues.

A radar detector faces many of the same problems as a metal detector, and has up until this point in time used similar techniques to provide solutions.

A radar detector manufacturer named Radenso has now applied AI to solving these issues.  And some of their methodology could have applications in metal detecting.  They are taking signal samples to identify good and bad targets and feeding them to a Super Computer, that then creates a signature which is programmed into the radar detector.  So the super computer does the heavy lifting creating a library, and allowing the processor in the detector to simply do a lookup from a library.

Some terms for those not familiar to aid in watching the videos:

CW = continuous wave similar to a signal from a VLF metal detector

BSM = Blind Spot Monitor are radar based collision and lane change units which emit radar and drive radar detector users crazy(think bottlecaps).

Door Openers = Equal microwave(radar) motion detectors to open the automatic doors at retail stores etc

https://www.vortexradar.com/2019/11/radenso-introduces-artificial-intelligence-in-radar-detectors/

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