Management System Using Internet of Things and Artificial Intelligence

Kiran S Parakkal, P. Rahul, R. John, Swathi Madhavan, S. Reshmi
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Abstract

Zoo is a place where animals are cared and looked after by a team of officials. It will also provide entertainment to tourists and the animal lovers to study animal behavior. It is used for learning purposes as well as for tourist revenue. It serves and takes care of many wild animals with the help of zoo administrators. The work of those zoo administrators is very difficult as they are dealing with wild animals in person. In this paper, we proposed an architecture to ease the animal administrator’s daily job by effectively collaborating the Internet of Things (Iot) and Artificial Intelligence (AI). Here we propose a novel and intelligent method for the health prediction of animals by a supervised machine learning algorithm. In addition to that, our architecture involves automatic feeding, cage temperature control, health monitoring of animals, real-time monitoring, and identification of virus infected animals. That helps to make the zoo expenses low. Moreover, in this era of the pandemic, the virus infected animals need to be separated from other animals as well as from the administrators to avoid spreading of the diseases. We also proposed an effective method by using RFID tag to identify virus infected animal and break the chain to prevent the spreading. So, our aim is to uplift the motto one world one health.
采用物联网和人工智能的管理系统
动物园是由一组工作人员照顾和照顾动物的地方。它还将为游客和动物爱好者提供研究动物行为的娱乐。它既用于学习目的,也用于旅游收入。在动物园管理员的帮助下,它为许多野生动物提供服务和照顾。那些动物园管理员的工作是非常困难的,因为他们要亲自与野生动物打交道。在本文中,我们提出了一种架构,通过有效地协作物联网(Iot)和人工智能(AI)来简化动物管理员的日常工作。本文提出了一种基于监督式机器学习算法的动物健康预测新方法。除此之外,我们的架构还涉及到自动喂食、笼子温度控制、动物健康监测、实时监测、病毒感染动物的识别。这有助于降低动物园的开支。此外,在这个大流行的时代,感染病毒的动物需要与其他动物以及管理人员分开,以避免疾病的传播。我们还提出了一种有效的方法,利用RFID标签识别病毒感染的动物,打破病毒链,防止病毒传播。因此,我们的目标是提升“同一个世界,同一个健康”的座右铭。
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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