Through decades of use, several problems occur in the conventional metal detector where it becomes a burden when it is being carried for a long time, the price is so expensive and the user was exposed to the threat when using it at the dangerous site. In order to solve the problem, this research aims to develop a metal detector that is lighter, cheap and can be mobilized using a remote control. The frequency of different metal was classified via KNN Classifier where the obtained accuracy and sensitivity arehigher than 90%
