Auto Identification of Drones/UAVs Using Concept of RF Interfacing and Compact Surveillance Radar Mechanism through Neural Networks and Computer Vision

Author Name: Prabodh Mahajan, Shyam Kashiwar
Author Email: mahajan_prabodh.ghrcecs@raisoni.net

Abstract

According to the defense point of view, it is necessary that every single care must be taken in order to secure the country from enemies, whether the mode of attack is air, water or land. In this modern era of technology, drones are being developed as they are promising high tech security from every aspect. But because this technology is also present at enemy, it is necessary for us to be one step ahead from them by continuously updating our research and technology implementation for a better and secured tomorrow. Auto identification of Drones/UAVs in time efficient way can most suitably be done using CSR (Compact surveillance radar) and obstacle detection using laser scanner and stereovision mechanism implemented on an energy efficient drone. All the accurate object detection will be done with a micro-camera enabled with thermal and night vision facilities covering estimated distance of 0.45 kms and 120-140 degree rotation.

Keywords

Auto-identification, Drones, CSR, Obstacle Detection, Laser, Stereovision.

Introduction

Drones/UAVs being popular and known for commercial, scientific, recreational, farming, sports and security purposes. Drone surveillance is nowadays considered as most effective security tracking ways as compared to other available solutions because of its efficiency, low maintenance cost, effectiveness and accuracy. Since for security purpose every other country/ criminal organizations use drones for location tracking, live feeds capturing, image identification and location capturing via images which eventually is harmful for the country being targeted. There are various conditions affecting the detection of drones such as weather, obstacles, areas, distance where the drones can hide, day time, night and temperature etc. There are two ways through which drones/ UAVs can be detected: 1] Static way in which the system is placed at one location and from that location, process of detection of objects is carried out. 2] Another way is two use a high tech advanced 360 degrees rotating long distance camera and CSR enabled cost and energy efficient drone which can travel the required and relative distance giving advantage of detecting object at a far location or before coming in boundary so to take the necessary steps required.

Conclusion

A] It is found that current detection system can be modified and new fusion of technology with a combination of artificial intelligence, neural networks and computer vision if done can able to make a cost efficient, lower energy consuming and secured drone.

B] CSR technology, if adapted on drone along with micro-laser scanners enabled stereovision technique using neural networks will make the most advanced, the most secured drone ever introduced.

C] If jamming mechanism is adapted by using the concept of generating EMP waves the enemy drone circuit’s energy will be cutoff, resulting in no use of that drone.

D] When each and every circuit will be embedded there will be no/less effect of weight on drone as the drone selected/ made will be efficient to carry the circuit easily and other payload facilities enhanced thus a perfect surveillance drone.

E] The drone can be made on hybrid energy mode one using solar rechargeable mechanism and a normal battery casing charging with traditional AC supply.

F] However the major drawback is if the solar panels attached on the drone, the drone will be incapable to fly due to load, so there’s a need to make the body of drone enabled with shock proof solar panels.

G] The detector drone that will be made can cover a wide area of about 1-1.5 Km and radially tracking the presence of enemy drone.

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