Case Study: Detection of Micro Plastics using Machine Learning

Micro plastics pose a great threat to human health. These tiny plastics debris can enter our bodies through the water we drink, increase the risk of illness. They are also an environmental hazards found even in remote areas like polar ice Caps and deep ocean. To combat this problem we work on to detecting of micro plastics using machine learning and device which provide information about dust present in water in the form of micro plastic. To monitoring the presence of micro plastics in water and human bodies is important research to preserve healthy environment and can represent serious threat for biological organism including human body .To perceive and understand the level of micro plastics pollution Threats in the environment there is need to design and develop reliable methodologies and tool that can detect and classify the different types of microplatics. This paper represents result of our work related to exploration of method and technics useful for detecting suspicious object in their respective ecosystem captured images with the help of neural Network.