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ISSN 2063-5346
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Deep Learning Model for Identifying Snake Species Using Snake Bite Marks in Video Processing

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Rashmika V, Fathima Ghouse
» doi: 10.48047/ecb/2023.12.5.285

Abstract

Snake bite is a neglected public health issue in many tropical and subtropical countries. One of the causes of death due to snake bite is incorrect identification of snake species. So, the proposed system is to be able to identify snake species from their bite marks in order to provide suitable treatment, and thus preventing from the subsequent deaths. The proposed system involves techniques based on video Processing, Region based convolutional neural network, image classification to achieve the mentioned purpose. Recent studies by the Centre for Global Health Research (CGHR) have found that 1.2 million deaths due to snakebites are reported in India from 2000 to 2022 i.e., an average of annual 58,000 deaths.

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