| dc.description.abstract | Object detection and tracking is a very useful
technique in today’s world when it comes to military
activities as well as daily activities. If a battlefield is
considered, there are places which are inaccessible for
the humans. In such instances, it is easy to monitor the
location remotely. Also, using an automated monitoring
system reduces the life risk of the soldiers deployed in the
specific location. This review study is conducted with the
aim of identifying the most suitable technologies and
sensors to be used in the wireless sensor network along
with the image processing and machine learning
techniques available for object detection. This review
study is carried out under two main topics as, wireless
sensor network based military applications and object
tracking and detection. The systematic literature review
was conducted to identify the most appropriate set of
research papers. Then the selected papers were reviewed
and the most important facts needed to identify the
solution was identified. The network topology of the
systems is, ad-hoc topology. ATmega182L, ATmega 2560
are the mainly used type of microcontrollers for the
previously developed systems. PIR sensor, CMOS
camera module are the mostly used equipment for the
process of acquiring images. Image processing
techniques are used for object detection and
classification purpose. This review paper concludes that
the best type of microcontroller is ATmega, CMOS
LM9628 to use as image sensor and the protocol for the
WSN can be ZigBee. | en_US |
