Lionfish, a species of venomous fish indigenous to the Indo-Pacific Ocean, are an invasive species along the southeast coast of the United States and the Gulf of Mexico. Due to the absence of any natural predators, their exponential rate of reproduction, and their ability to survive in a wide range of habitats, their population has been growing rapidly in the Atlantic Ocean. As a result, they are destroying the coral reefs and fish that live in and around the reefs, thus damaging the local ecosystem. The Lionfish MQP aims to mitigate the spread of the lionfish population by creating a remotely operated vehicle (ROV) to harvest lionfish. This year’s team plans on expanding and improving the work done by the previous iterations of this project. The team’s focus is to design and implement a new spearing mechanism, employ machine learning and computer vision to detect lionfish, and implement autonomous underwater navigation.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Blaufuss, Olivia
• Snapperman, Brandon
• Cochran, Kathleen
• Mitchell, Justin
• Meisser, Julia
• Dikshit, Atharva

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042822-075851
• 64936

Keyword

• ROV
• autonomous
• remotely operated vehicle
• Lionfish

Advisor

• Putnam, Craig B.
• Michalson, William R.
• Miller, Bradley A.

Year

• 2022

UN Sustainable Development Goals

• 13 - Climate Action
• 14 - Life Below Water

Date created

• 2022-04-28

Resource type

• Major Qualifying Project

Major

• Mechanical Engineering
• Computer Science
• Robotics Engineering

Rights statement

• In Copyright