Paper Title
DESIGN AND DEVELOPMENT OF AN AUTONOMOUS UNDERWATER VEHICLE FOR NEURAL NETWORK-ASSISTED MARINE DEBRIS DETECTION AND COLLECTION

Abstract
Abstract - This article presents the design and development of a prototype Autonomous Underwater Vehicle (AUV) specifically designed for underwater trash collection. Equipped with cameras and a manipulator arm, the AUV integrates neural networks to enable the detection and collection of marine debris. The AUV prototype conducts real-time monitoring of the underwater environment, employing trained neural networks to process image data and identify and classify distinct patterns of debris. Upon detection, the prototype utilizes its manipulator arm for precise grasping and removal of the identified objects. Using swarm coordination, multiple AUVs can operate on a large area. This innovative AUV design demonstrates promising potential for effective marine debris removal solutions. Further testing and refinement of the system will pave the way for the development of a more sophisticated and comprehensive marine environmental cleansing system. The outcomes of this research contribute to addressing the critical issue of marine pollution and highlight the significance of autonomous technologies in improving the health and sustainability of our oceans. Keywords - debris detection, AUV, trash collection, manipulator arm, neural network