The use of Artificial Intelligence (AI) is becoming more prevalent among the public using publicly accessible generative AI on platforms, but it can then be implemented in real-life real-time applications of AI to better the environment with a concept such as a drone that can take pictures of an area and identify the objects. This study aims to explore the use of image classification powered by AI using Image Processing on drone-acquired images to identify trash in BMP sites with their precise locations and the size, and the real-time monitoring of these areas. This approach allows for what would traditionally call for someone to come out and assess the affected area for cleanup to not be required to physically assess the area, the AI would handle this evaluation. The date were collected using DJI Mavic 2 Pro, OpenCV, WebODM, and ArcGIS pro. The drone is used to take aerial images which are uploaded to image processing programs in order to analyze the data. Image processing allowed to check the status of the BMPs and bioswales and create a code in order to make predictions of future maintenance needed in the future to keep it functional. It will also analyze and color code the temperature of the environment when the picture was taken and make predictions of the temperature in the future.
