A study on the modeling of the IoT-based motion pattern analysis system to exterminating harmful wild animals

Abstract

The damage of crops caused by harmful wild animals is not limited to individual farmland, but has been expanded to villages, regions, and even countries of interest. In other words, it goes beyond the damage of farmland and leads to social problems such as village appearance and road kill. Therefore, it is urgent to prepare a solution for controlling the population of harmful wild animals and managing an appropriate level of population. An IoT and AI-based intelligent harmful wild animal extermination system is needed that can be applied to farmhouses, orchards, airports and military boundaries through big data analysis algorithms of harmful wild animals (boar, elk, bird, mole), real-time wired/wireless data processing and performance monitoring research. Research was conducted on the construction of a system for extermination harmful wild animals and upgrading the real-time response system as an operating system. The core technology consists of multi IoT sensing technology, big data and AI analysis technology. In addition, the system consists of a main control device, a node device (long range), a control server, AI analysis SW, and a smartphone app.