Wildlife Conservation Using Image Recognition with Artificial Intelligence

The sustainable development goal provided by United Nation says about 17 major development points and one of which contains to improve safety of wildlife animals and resources for the future. As there is development in human community there is rise in wildlife damage and also the surge in extinction of Unique wildlife animals. The united nation also acknowledges that problem through its development goals (SDG 13, SDG I5) to end theft of wildlife resources and maintain its biodiversity. Along with this image recognition with AI (SDG 9), there are lots of ways to enhance the current technology can do hours of works in milliseconds. moreover, adding AI algorithms can detect animals and human much precisely. Firstly, the camera traps capture an image and with AI algorithm, any object or species can be identifying and with IOT devices, authority can directly gather information on that particular problem. AI plays a crucial role in predicting future condition of an area using deep learning algorithms, that can help in preserving forest biodiversity. On the basis of several studies and analysis, this paper consists of several suggestions on various development and future scopes that can increase safety of wildlife ecosystem. This paper has depicted the advancement of the technology that are being used in many areas for monitoring by provided informative data from IOT devices. Additionally, image recognition algorithms perform a promising role in research with greater accuracy and real time conservation of that data into statical reports.