IoT Trained Merciless BSF
Journal: International Journal of Scientific Engineering and Science (Vol.2, No. 3)Publication Date: 2018-04-15
Authors : Supreeth H G Bhavanishankar K;
Page : 58-62
Keywords : Intelligent Unmanned Robot (IUR): IoT Wireless Network: Military Robot.;
Abstract
The military organization now takes robots for the help to carry out many risky jobs of the soldier that cannot be done. The robots are usually employed with the integrated system which are used in military, video screens, sensors, gripper and cameras are also included. The military robots according to the purposes of each robot also have different shapes. Here to trace out the intruders the new system is proposed with the help of low power IoT wireless sensor network and automatically the robot will take the necessary action. Thus the proposed system, IoT saves human lives and reduces manual error in defense side using an Intelligent Unmanned Robot. To save human life and protect the country from enemies this is specially designed robotic system. The robots are specially design for human to make our life easier. Robots are design for various purposes like military purpose, industry, for home based application. At border different tanks, missile, guns etc are used by enemy. This cause problem and harm our force or soldiers. For this a robot is design and developed for military purpose application to protect the army. Robots used to detect its obstacle which is found in its path. If it finds any obstacle in its path then using gun mechanism it will able to shoot that obstacle. For making it multifunctional robot all the actions perform by user, same actions perform by robot using stretch sensor. All these mechanisms are embedded on the propeller.
Other Latest Articles
- METHODS OF INTERCULTURAL COMPETENCES DEVELOPMENT DURING THE UKRAINIAN LANGUAGE TRAINING AS A FOREIGN
- Advanced Tunnel Form Construction Technique, Case Study of “Rohan-Abhilasha, Wagholi”
- IOT Powered Farmers Buddy
- Enhancement of Dual-Hop Layered LEACH Routing Protocol with Mobility in Wireless Sensor Networks
- Online Top Composition Prediction of a Distillation Column Using Feedforward Neural Network
Last modified: 2018-04-23 19:36:46