A Device for Command and Control System for Military Communication
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Date
2023-07
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Department of Electronic and Telecommunication Engineering
Abstract
The objective of this project is to create an advanced military M2M system that combines
object and sound detection with command technologies. The system will use computer
vision and audio processing to provide real-time information to military personnel in the
field. Deep learning techniques, including CNNs, will be utilized by the object detection
component to precisely detect weapons, vehicles, and other pertinent objects in real-time.
A dataset of military objects will be used to train the object detection algorithm for im proved accuracy and robustness in difficult conditions. The system will utilize signal pro cessing algorithms to differentiate between different sounds, including speech, gunfire,
and explosions. The system facilitates swift and precise identification of potential threats
by military personnel, enabling them to respond accordingly. The M2M system can be
remotely controlled by military personnel through the command system, which facilitates
real-time situational awareness and swift response. The system will have a user-friendly
interface and will be designed to function in challenging environments, including combat
zones. The M2M system will be designed to endure challenging environments, including
severe temperatures, dust, and impacts. The system’s ability to function effectively in
challenging environments and provide dependable information to military personnel will
be guaranteed. A combined M2M system utilizing object detection, sound detection, and
command technologies is expected to enhance military operational efficiency and person nel safety. The system enables military personnel to receive real-time information and
respond quickly to potential threats.
Description
submitted by Sha Imran Ahmad, bearing Metric ID. T183028 of ses sion Spring 2022