Metal Detector via KNN for Vehicle Robot

Authors

  • Zaidi Lokman Awang Faculty of Electrical Engineering Technology University Malaysia Perlis, 02100 Padang Besar, Perlis, Malaysia.

Abstract

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 are higher than 90%.

Keywords:

Autonomous, KNN Classifier, Metal Detection, Multi-Terrain, Microcontroller, Wireless Controller

Downloads

Published

2020-12-31

How to Cite

Zaidi Lokman Awang. (2020). Metal Detector via KNN for Vehicle Robot. Applied Mathematics and Computational Intelligence (AMCI), 9, 1–8. Retrieved from https://ejournal.unimap.edu.my/index.php/amci/article/view/102

Issue

Vol. 9 (2020): December (2020)

Section

Articles