Unmanned ship of algae pollution Monitoring based on Internet of things and Machine Vision

摘要

With the remarkable development of machine vision technology, vision sensor has become an important sensor of unmanned ship. The scale, development trend and influence on water quality of algae pollution are monitored through visual, water quality and water sample extraction. The image of algae pollution is obtained by vision sensor, and then the algae pollution information is obtained by image processing. GPS is used to obtain the ship coordinate, and the path deviation is calculated after Kalman filtering. Then the motor speed is controlled by PID algorithm to adjust the yaw rate. Unmanned ship of algae pollution monitoring provides information for cleaning of algae pollution on the water surface.