A FRAMEWORK OF ELEPHANT INTRUSION AND REPORTING …

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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 08 Issue: 05 | May 2021 www.irjet.net p-ISSN: 2395-0072 © 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 28 A FRAMEWORK OF ELEPHANT INTRUSION AND REPORTING SYSTEM Dr.T. Menakadevi 1 , B. Ambrish Kumar 2 , A. Deepan 3, M. Gurusamy 4 , V. Iyyappan 5 1 Professor, 2,3,4,5 UG Students, Department of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India. [email protected] 1 , [email protected] 2 , [email protected] 3 , [email protected] 4 ,[email protected] 5 ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Elephant interruption causes a significant issue like harvest harm, human demise and wounds. Elephant Intrusion has been on the ascent in the backwoods line territories with gatherings of elephants going into human home and making a hefty misfortune to developed plants in farming area and their properties. The observation and following of elephants by people alone may not generally be powerful. For the most part the elephants go into the horticulture land in the evening. Recognizing elephant interruption and driving it back is extremely troublesome by the ranchers since human can't observe entire evening. Thus, we build up a framework which distinguishes the elephant interruption, makes a caution and repulse the elephant away from human living space [1]. Henceforth a framework to recognize elephant interruption into human living space and to alarm the natural surroundings and timberland authorities is fundamental. Key Words: Human demise, extremely troublesome, Elephant interruption. 1. INTRODUCTION India is home to 60% of the elephant populace in Asia. 66% of this populace has spread near human residence prompting human-elephant conflicts. Human-elephant conflicts is one of the principal issues in India as it causes crop harm just as human passing and wounds. The fundamental explanation behind the expanding man- elephant conflicts is because of the expanded human populace which broadens their settlements into timberland fringe zones. This movement prompts elephant's natural surroundings fracture, and shortage of nourishment and water for the elephants. To maintain a strategic distance from these conflicts, numerous recognition strategies exist, however they don't offer an appropriate assurance framework. Elephants are enormous and substantial creatures. Because of their size and the idea of their development it is hard to recognize these creatures [2]. During the most recent 50 years, the human elephant strife has formed into one of the greatest natural and financial emergencies in Africa and Asia. In the course of the most recent four decades, the Asian elephant populace has declined radically, and the greatest dangers to its endurance are living space misfortune and struggle with people over harvest assaulting [3]. The goal of the investigation is to plan a framework to spot elephant interruption in the human living space locale of the backwoods outskirt in Sanamavu Reserve Forest to Anjetty Which Situates in Krishnagiri District, Tamilnadu that covers a region of 52 Kilometres. 1.1 OBJECTIVES To develop a system which detects the elephant intrusion, creates an alert and repel the elephant away from human habitat. To avoid human elephant conflict as they stray into agriculture areas searching for food, resulting to economic losses and human casualties. 2. RELATED WORKS In other related examination, Seung You Na et.al proposed a framework for assurance of plantation organic products from wild birds and creatures in. They proposed a technique to secure plantation produce through universal sensor network gadgets and furthermore proposed observing plan to give an early admonition about conceivable interruption furthermore, harm by wild creatures and birds. In Peter Christiansen et.al introduced a framework for decreasing the passing of creatures in farming cutting activities. They introduced a mechanized recognition and grouping of creatures utilizing warm imaging. 3. PROPOSED SYSTEM This Framework is utilized to distinguish the interruption of elephants, Where the webcam is utilized to deal with the video of the article by utilizing Convolutional Neural Network calculation, we can anticipate the elephant. When the elephant is distinguished an email, notice is shipped off the wood’s official of the specific territory Along with the Sensor Network. The Ultrasonic sensor can ready to discover the separation of the item. This sensor distinguishes climate there is an article or not. Also, the PIR sensor checks the

Transcript of A FRAMEWORK OF ELEPHANT INTRUSION AND REPORTING …

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 08 Issue: 05 | May 2021 www.irjet.net p-ISSN: 2395-0072

© 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 28

A FRAMEWORK OF ELEPHANT INTRUSION AND REPORTING SYSTEM

Dr.T. Menakadevi1, B. Ambrish Kumar2, A. Deepan3, M. Gurusamy4, V. Iyyappan5

1Professor, 2,3,4,5UG Students, Department of Electronics and Communication Engineering,

Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India.

[email protected], [email protected], [email protected],

[email protected],[email protected]

---------------------------------------------------------------------***---------------------------------------------------------------------Abstract - Elephant interruption causes a significant issue like harvest harm, human demise and wounds. Elephant Intrusion has been on the ascent in the backwoods line territories with gatherings of elephants going into human home and making a hefty misfortune to developed plants in farming area and their properties. The observation and following of elephants by people alone may not generally be powerful. For the most part the elephants go into the horticulture land in the evening. Recognizing elephant interruption and driving it back is extremely troublesome by the ranchers since human can't observe entire evening. Thus, we build up a framework which distinguishes the elephant interruption, makes a caution and repulse the elephant away from human living space [1]. Henceforth a framework to recognize elephant interruption into human living space and to alarm the natural surroundings and timberland authorities is fundamental.

Key Words: Human demise, extremely troublesome, Elephant interruption.

1. INTRODUCTION India is home to 60% of the elephant populace in Asia. 66% of this populace has spread near human residence prompting human-elephant conflicts. Human-elephant conflicts is one of the principal issues in India as it causes crop harm just as human passing and wounds. The fundamental explanation behind the expanding man-elephant conflicts is because of the expanded human populace which broadens their settlements into timberland fringe zones. This movement prompts elephant's natural surroundings fracture, and shortage of nourishment and water for the elephants. To maintain a strategic distance from these conflicts, numerous recognition strategies exist, however they don't offer an appropriate assurance framework. Elephants are enormous and substantial creatures. Because of their size and the idea of their development it is hard to recognize these creatures [2]. During the most recent 50 years, the human elephant strife has formed into one of the greatest natural and financial emergencies in Africa and Asia. In the course of the most

recent four decades, the Asian elephant populace has declined radically, and the greatest dangers to its endurance are living space misfortune and struggle with people over harvest assaulting [3]. The goal of the investigation is to plan a framework to spot elephant interruption in the human living space locale of the backwoods outskirt in Sanamavu Reserve Forest to Anjetty Which Situates in Krishnagiri District, Tamilnadu that covers a region of 52 Kilometres.

1.1 OBJECTIVES

To develop a system which detects the elephant intrusion, creates an alert and repel the elephant away from human habitat.

To avoid human elephant conflict as they stray into agriculture areas searching for food, resulting to economic losses and human casualties.

2. RELATED WORKS

In other related examination, Seung You Na et.al proposed a framework for assurance of plantation organic products from wild birds and creatures in. They proposed a technique to secure plantation produce through universal sensor network gadgets and furthermore proposed observing plan to give an early admonition about conceivable interruption furthermore, harm by wild creatures and birds. In Peter Christiansen et.al introduced a framework for decreasing the passing of creatures in farming cutting activities. They introduced a mechanized recognition and grouping of creatures utilizing warm imaging.

3. PROPOSED SYSTEM This Framework is utilized to distinguish the interruption of elephants, Where the webcam is utilized to deal with the video of the article by utilizing Convolutional Neural Network calculation, we can anticipate the elephant. When the elephant is distinguished an email, notice is shipped off the wood’s official of the specific territory Along with the Sensor Network. The Ultrasonic sensor can ready to discover the separation of the item. This sensor distinguishes climate there is an article or not. Also, the PIR sensor checks the

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 08 Issue: 05 | May 2021 www.irjet.net p-ISSN: 2395-0072

© 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 29

climate the item is living thing or nonliving thing. PIR sensor identifies just hot-blooded living beings. What's more, Vibration’s sensor checks the heaviness of the article. In the event that the item fulfills every one of these properties, at that point it further continues to following stage which is bringing the clock subtleties. The clock module brings the date and time and it goes to store the information to the SD card module. All the information is transmitted to the server which is Raspberry-Pi through NRF module. Where the Raspberry-Pi has a recipient NRF module it gets the information and put away in the Memory gadget. The Raspberry-Pi is a PC which contains of client login structure that was made by HTML, CSS and JAVASCRIPT. The Resident or an Officer can select their subtleties and the can ready to Login to their particular record. In their record they can ready to see the Officer's contact and how frequently the elephant hindered in the particular region where the Sensors are put.

4. METHODOLOGY This Framework is utilized to identify the interruption of elephants, Where the webcam is utilized to handle the video of the article by utilizing Convolutional Neural Network calculation, we can foresee the elephant. When the elephant is distinguished an email, notice is shipped off the backwoods official of the specific region.

5. FLOW DIAGRAMS

Fig -1: CNN Algorithm Based Detection System

AI is a subsystem of man-made consciousness that gains frameworks automatically take in and headway as a matter of fact without being customized. AI centers around the development of PC programs that can get to information and use it to find out on their own. Profound neural organizations are the assortment of calculations that have set new records in exactness for a few essential issues; Convolutional neural organization (CNN) is a kind of

profound neural organizations, most by and large applied for researching visual pictures.

Fig -2: Sensor Involved Detecting System

6. EXPERIMENTAL RESULT

Fig -3: Console Screen Output

7. CONCLUSION Thinking about the incessant occurrences of human-elephant conflicts in the wood’s outskirt territories, this work primarily targets decreasing elephant interruption in human residence zone closer to forest. The engineering of the minimal effort and straightforward two-level frameworks incorporates elephant interruption recognition framework dependent on sensors. If the elephant's quality is affirmed, an Audio (reenactment of the sound of honey bee)

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056

Volume: 08 Issue: 05 | May 2021 www.irjet.net p-ISSN: 2395-0072

© 2021, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 30

that is abhorrence for the elephant can be played consequently with high volume to repulse the elephant, when an elephant interruption detected. The proposed thought gives the best answer for such circumstances by offering notice to the power and individuals.

REFERENCES [1] N. Suganthi, N. Rajathi, Farithul Inzamam M, Elephant

Intrusion Detection and Repulsive System, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018.R. Nicole, “Title of paper with only first word capitalized,” J. Name Stand. Abbrev., in press.

[2] Arya Singh S., Maneesha V. Ramesh and Divya P., Design and Simulation of Elephant Intrusion Detection System, ISBN 978-981-11-0008-6 Proceedings of 2016 6th International Workshop on Computer Science and Engineering (WCSE 2016) Tokyo, Japan, 17-19 June, 2016, pp. 749-753.

[3] Lanka Wijesinghe, Prasanga Siriwardena, and Dileeka Dias, A Wireless Sensor Network for Early Warning of Elephant Intrusions, F.K. Shaikh et al. (Eds.): WSN4DC 2013, CCIS 366, pp. 38–50, 2013. © Springer-Verlag Berlin Heidelberg 2013.

[4] Saurabh Umarkar, Anil Karwankar. "Automated seed sowing agribot using arduino", 2016 International Conference on Communication and Signal Processing (ICCSP), 2016.

[5] Nagolu Sainadh, P. Dass "Health Monitoring System for Mine Areas",2019 ISSN: 2249 – 8958, Volume-8 Issue6S,International Journal of Engineering and Advanced Technology (IJEAT), 2019.

[6] Divya.M, K.R.ArunPrasath and R.S.Amruta,MENTOR: Mrs.BiniPalas, B.E., “Brain Wave based Device Control and Accelerometer based Mobility for Specially Abled People” ISSN: 0976-1353 Volume 21 Issue 4 –APRIL 2016, International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE).

[7] P. Priyadharshini, Pulugurtha Niketha, K. Saantha Lakshmi, S. Sharmila, R. Divya. "Advances in Vision based Lane Detection Algorithm Based on Reliable Lane Markings", 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), 2019.

BIOGRAPHY:

Dr. T. Menaka Devi,

Professor,

Electronics And Communication

Engineering Department,

Adhiyamaan College of Engineering,

Anna University.