Implementation of Multisensor to Detect Vibration, Sound and Image of Combat Vehicles Use Artificial Neural Networks


Authors : Nur Rachman Supadmana Muda; Bilqis Faranadila; M.Faisal Fadilah

Volume/Issue : Volume 9 - 2024, Issue 2 - February

Google Scholar : http://tinyurl.com/yrn4yp46

Scribd : http://tinyurl.com/4j25td9d

DOI : https://doi.org/10.5281/zenodo.10720432

Abstract : Multisensors in general used in the military world as system sensing far to aim For detect existence object Good sound , vibration nor image around with use wave electromagnetic . With do application computing systematic, will obtained A visual depiction of representation from medium object observed. Implementation Multisensor can utilise principle radiation and reflection wave electromagnetic or wave sound on energy levels and intervals time certain. With do application computing systematic, will obtained a visual depiction of representation from medium object observed. Although modern multisensors have have diverse function, however task his first as detector something object tanks still still is one of from its most important function, because until with moment this still not yet There is none other capable systems detect tanks as quickly and accurately as it does multisensor. Target distance to multisensor can is known with measure transmitter time , ie the time required by the signal multisensor for reach the target and return again to the recipient, for example is recognize tanks with image digital patterns using Artificial Neural Networks

Keywords : Multisensor , Tank, Raspberry, ANN.

Multisensors in general used in the military world as system sensing far to aim For detect existence object Good sound , vibration nor image around with use wave electromagnetic . With do application computing systematic, will obtained A visual depiction of representation from medium object observed. Implementation Multisensor can utilise principle radiation and reflection wave electromagnetic or wave sound on energy levels and intervals time certain. With do application computing systematic, will obtained a visual depiction of representation from medium object observed. Although modern multisensors have have diverse function, however task his first as detector something object tanks still still is one of from its most important function, because until with moment this still not yet There is none other capable systems detect tanks as quickly and accurately as it does multisensor. Target distance to multisensor can is known with measure transmitter time , ie the time required by the signal multisensor for reach the target and return again to the recipient, for example is recognize tanks with image digital patterns using Artificial Neural Networks

Keywords : Multisensor , Tank, Raspberry, ANN.

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