In today’s battlefield, many obstacles are met in the process of executing mission. Loads of research has been done in an attempt to reduce the amount of hurdles which needed to be overcome. One of significance is fratricide, the military term for being killed by your own side; numerous soldiers have lost there lives in this manner, defending our country. This is a result of platoons’ lack of ability to positively identify friendly forces. Military forces are now applying the latest technology in an effort to prevent these occurrences, by utilizing Neural Network based technology.
This new innovative technology is called Battlefield Target Identification Device. It uses neural networks learning ability to instantaneously indentify battlefield targets. All transponder equipped friendly vehicles can be identified. When a query is made, the friendly vehicle will respond. After various test, this new system has a ninety-eight percent positive identification rate. This enables soldiers on the battlefield to make the right decision in terms of applying deadly forces to the opposition. As a soldier, you can now be very certain that the opposing target you are about to engage is not one of your own. With integrated weapons and almost all of the uncertainty eliminated, mission efficiency is greatly increased. As the system is continuously trained, it will be capable of recognizing individual faces to further reduce the chance of fratricide.
Perhaps the notorious Pat Tillman, an ex-Nation Football League player turned United States soldier would still be alive. He was accidentally engaged by a friendly platoon and executed. He is just one of the many whom have fallen victim to fratricide. However, with the implementation of neural network systems in today’s battlefield, these unfortunate occurrences will hopefully be ceased.
No comments:
Post a Comment