Military Reconnaissance Robot
Journal: International Journal of Advanced Engineering Research and Science (Vol.4, No. 2)Publication Date: 2017-02-07
Authors : Mrs.N.S.Usha; S. Priyadharshini; K.Rohinee Shree; P. Sabari Devi; G.Sangeetha;
Page : 49-56
Keywords : GPS; Hexapod; machine learning; object detection; raspberry pi.;
Abstract
In todayâ?™s world Indian border military force facing a huge destruction especially in border. Tensions rise between nuclear neighbors after deadly raid on army base close to disputed border. All the military organizations takes the help of military robots to carry risky jobs that cannot be handled manually by soldier. A great development in military robots when compare to military robots in earlier time. In this proposal, we make use of Robotic vehicle which helps to enter an area of higher risks, move and place wherever the object wants to go. Security systems uses sensor to detect intrusion. Vision based system is accurate and can be more reliable. Vision based machine learning system will be a good deal to this problem. Using the machine learning algorithm technique, motion detection is first done, if there is any detection, a bounding box will be made on that spot and then human recognition algorithm takes place. If the intruder match with the database of known personal data of the soldiers which was already stored by the officials. If there is no match in database, it will take a snapshot of the unknown intruder and with the help of internet or sat-link it will sends it to the server. From the server an alarm triggers using relay or buzzers and the snapshot will be sent to the soldiers nearby with the accurate distance using gps tracking system.
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Last modified: 2017-02-18 00:16:17