Magnetic Explosives Detection System (MEDS) based on wireless sensor network and machine learning

Abstract

This paper represents a new direction in detecting magnetic explosives by the use of a wireless sensor network adapted with machine learning. The Improvised Explosives Devices (IED) consider a series threat due to the easy manufacturing. However, the scientific directions heading towards the use of information technology in the development of explosives detection systems. In this paper, the type of explosives used is the magnetic explosives which are a type of IEDs that is used in targeting the vehicles. A Magnetic Explosives Detection System (MEDS) is a wireless sensor network system that uses a network of magnetic sensors to detect the magnetic field that emitted from magnetic effector and consider this magnetic field as a possible threat. The experiments of the system show its ability to detect the change in the magnetic field caused by the magnet stacked under the vehicle. The main use of the neural network algorithm in this paper is to determine the highest reading among a series of readings to determine where the threat exact position. Excellent results produced by the neural network algorithm in the MEDS to enable the system from learn and identify the required data type.