Utilizing Image Recognition to Identify Water Quality in Polluted River Environments

As years goes by, river pollution cases are not a strange issue to be heard. Due to that case, a project of image detection is being developed to contribute to finding the causes of river pollution that continue happening. Identifying the water quality in polluted river environments using an image recognition feature from machine learning is exploited. To achieve a solution to reducing river pollution, this project aims to develop an image recognition device by using ESP32 to capture the images of the waste pollutant. This project works by using a machine learning software that is Clarifai to recognize and to identify the sample captured while pH sensor also working to collect the sample data of the pH level. This project successfully able to capture the images and obtain the data of pH level. With this project, it may contribute to knowing the causes of river pollution and will be able to give ideas on how to reduce the causes based on the data collected.