Virtual Fences
Kavyashree B S1, Navarathna M2, Samyak V Jain3, Vignesh N4, Vidyashree K P5
1Kavyashree B S, Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysore (Karnataka), India.
2Navarathna M, Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysore (Karnataka), India.
3Samyak V Jain, Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysore (Karnataka), India.
4Vignesh N, Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysore (Karnataka), India.
5Prof. Vidyashree K P, Department of Information Science Engineering, Vidyavardhaka College of Engineering, Mysore (Karnataka), India.
Manuscript received on 06 December 2019 | Revised Manuscript received on 14 December 2019 | Manuscript Published on 31 December 2019 | PP: 526-529 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10441292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1044.1292S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In modern world, human-animal conflict has caused hindrance for wildlife conservation and protection of human settlements. A search for effective protection systems have been proposed and re-proposed every passing day. Until now, wild animal identification and repelling systems have been created using Camera Surveillance, infrared and thermal sensors, LVDT, Geophones and Acoustic sensors. As these methods are very expensive and less accurate, an automated system for identification of human intruders and wild animals (Elephants and wild-boars) and a repelling alarm system is introduced in this project wherein the human-wildlife conflict can be reduced to a large extent. In this method, an amalgamation of three layers are deployed to identify the presence of animals. The first outer layer detects the movement with the help of a PIR (passive infrared detector) sensors and gives the warning signal to alert the people around that area using GSM as well as triggers the image detection part of the system. Middle layer activates the initial repelling system to make the animals realize that it is in a human habitat and to make them run back to the forest by triggering an alarm system of high frequency noise. In case if it is a human being trespassing into the farmland, a GSM model is used to send an alert text to the owner of the plot, informing him of the presence of an intruder. If the animals are still moving forward towards the conserved area, the third layer activates the second repelling system wherein, the alarm is produced through high-amplitude speakers along with high intensity search lights and fog dispensers. As the speakers and search lights are installed in patterns the entire attack susceptible area is covered, which reduces manual monitoring of the system. This system also holds good for identification and alerting when a human being trespasses the covered area, with intentions of causing theft or damage to the property.
Keywords: Alarm System, Intruder Detection, Animal Detection, Repelling System, Virtual Fences.
Scope of the Article: Virtual & Overlay Networks