CONTROLLING OF ILLEGAL SAND MINING USING MACHINE LEARNING AND OCR

Abstract: In this project, we have proposed a camera footage-based sand theft detection along with thieves tracking based on object identification. For this purpose, we use image processing to detect theft occurrence and track thieves via gps location shared. we have developed a proposed design using Deep learning. Here, we have used image processing to detect sand theft. This system focuses on detecting objects. Here we process the entire video but we work on initial video frame in which the moving objects are segmented from the background.we applied image preprocessing steps in order to remove undesirable noise and we have used some image processing methodology to fill gaps in the detected objects. The system presented in the project uses OpenCV to detect a vehicle. the vehicle images are sent to the SMS notifications or remote alerting systems.