Design and manufacture of a marine garbage collector aquatic ROV

Abstract

This work presents the design and development of a 2.4GHz radio frequency tele-operated vehicle, with the ability to support the operator with artificial vision, detecting objects by implementing a neural network in real time. A neural network was trained through the cascade method for the correct detection of the objects that need to be observed on the screen. This project was created to be able to combat the garbage from the Motagua River in Guatemala to the beaches of Omoa in Honduras, it is worth mentioning that it can be implemented in any aquatic environment that is provided with the appropriate conditions for its correct operation, the prototype is designed to be able to collect trash floating on the surface like plastics do. The implementation of the tele-operated vehicle reduces the amount of effort and increases the waste collection capacity with fewer cleaning personnel, likewise, it helps the tourism sector and the health sector by keeping the waters clean with less pollution and therefore with fewer diseases. For this research, the multiple variabilities of mobilization, interaction and risks that can occur when interacting with the work field were taken into account, as well as the areas in which the vehicle can work effectively.