Detection and Alerting Animals in Forest using Artificial Intelligence and IoT

H. Girish, T. G. Manjunat, A. C. Vikramathithan
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引用次数: 3

Abstract

One significant issue that every country confronting today is passing and wounds because of street mishaps. The human-creature crash is one of the significant explanations for some lethal mishaps. There are road-accidents happening like clockwork all throughout the planet. This paper proposes a system to detect animals and alert vehicles to decrease thruway mishaps of animals. Using IOT, a detection and alert system is proposed. This alert system further produces signals in such a way to alert the drivers in the highway if the detection is triggered. IoT plays a major role along with Pi module to detect the animals and alert the vehicles. Sensors are used to detect the obstacle which activates Pi Camera configured by Raspberry Pi to capture the live images or video and movements of animals with help of image detection then alert the people and vehicles in the forest highways. An indication with a light at particular distance during night time is also incorporated. Thus, the paper aim is to secure animals from accidents and save many lives from danger. YOLO (You just look once) algorithm is proposed which assists with handling 45 frames each second and takes the entire picture to anticipate the object.
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利用人工智能和物联网检测和警报森林中的动物
每个国家今天面临的一个重大问题是由于街头事故造成的死亡和伤害。人与人之间的碰撞是一些致命事故的重要解释之一。在这个星球上,道路交通事故的发生就像钟表一样规律。为了减少高速公路动物事故的发生,本文提出了一种动物检测报警系统。利用物联网,提出了一种检测和报警系统。该警报系统进一步以这种方式产生信号,提醒高速公路上的司机,如果检测被触发。物联网与Pi模块一起发挥重要作用,以检测动物并提醒车辆。传感器用于检测障碍物,激活树莓派配置的Pi相机,在图像检测的帮助下捕捉实时图像或视频和动物的运动,然后提醒森林高速公路上的人和车辆。在夜间还包括在特定距离上的指示灯。因此,论文的目的是确保动物免受意外事故,并挽救许多生命免受危险。提出了YOLO(你只看一次)算法,该算法每秒处理45帧,并拍摄整个图像来预测物体。
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