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Automated Snake Bite Prevention System
Kunal Jain1, Nishant Kabra2, Shriya Khatri3, Surekha Dholay4

1Kunal Jain, Sardar Patel Institute of Technology, Mumbai, India.
2Nishant Kabra, Sardar Patel Institute of Technology, Mumbai, India.
3Shriya Khatri, Sardar Patel Institute of Technology, Mumbai, India.
4Surekha Dholay, Sardar Patel Institute of Technology, Mumbai, India.

Manuscript received on December 12, 2020. | Revised Manuscript received on January 01, 2020. | Manuscript published on January 10, 2021. | PP: 29-33 | Volume-10 Issue-3, January 2021 | Retrieval Number: 100.1/ijitee.C83540110321| DOI: 10.35940/ijitee.C8354.0110321
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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: Snakebite is nt an illness without a treatment, anyway a substantial number of grievous setbacks go untreated each year. Many governments basically put this issue in the difficult to handle basket. Hence we have made a gadget which will recognize snakes using cameras and spurn the distinguished snake using a snake repeller. This should provoke an uncommon decrease in the number of snakebites and in like manner in the number of deaths. We are planning a basic, easy, convenient gadget which will automate the procedure of snake repeller. 
Keywords: Snake bite, Image processing, Edge detection, Gaussian filter, Sobel filter.
Scope of the Article: Image Processing and Pattern Recognition