Monitoring the Movements of Wild Animals and Alert System using Deep Learning Algorithm

Y. A. Roopashree, M. Bhoomika, R. Priyanka, K. Nisarga, Sagarika Behera
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引用次数: 1

Abstract

The roadways in our country are continuously developing and expanding and many highways are in proximity to the forests, which increases the possibility of human-animal collision making deadly accidents imminent. This paper proposes an application that uses the ‘YOLO’ algorithm to efficiently recognize and classify the animals in the images that are passed to it as input and alert the user via the map interface along with the location of the animal on Google Maps. Deep Learning method is used here for animal detection and classification. Using Deep Learning, a detection and notification system is proposed. Our application trained for two datasets, tiger and elephant.
基于深度学习算法的野生动物运动监测与警报系统
我国的公路在不断发展和扩大,许多高速公路靠近森林,这增加了人兽碰撞的可能性,致命事故迫在眉睫。本文提出了一个应用程序,该应用程序使用“YOLO”算法有效地识别和分类作为输入传递给它的图像中的动物,并通过地图界面以及动物在谷歌地图上的位置提醒用户。这里使用深度学习方法对动物进行检测和分类。利用深度学习,提出了一种检测和通知系统。我们的应用程序训练两个数据集,老虎和大象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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