Ryerson University Mechanical Engineering Capstone Project

Project Team: Heather Wubs, Nicholas Prayogo, Imran Mohammed, Hasib Arian

Project Supervisor: Dr. Vincent Chan

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While pole-and-line fishing is getting more popular in recent years due to its superiority in terms of environmental-friendliness, it is a very physically demanding task for humans and often requires many fishermen on board, which also significantly contributes to the weight and fuel consumption of pole and line vessels. To address these issues, a design for an autonomous pole and line fishing system, which could lead to significant reduction in costs, CO2 emissions, unwanted catches, and labor-related injuries, was proposed. The design was simulated with software and a scaled-down physical prototype. Based on the simulation results, the designed system is shown to be capable of poling fish up to 10 kg at a relatively high rate of catch. Moreover, significant cost savings justify the potential use of this automated system. However, further analysis is required in a full-scale real-world implementation since many assumptions, such as perfect real-time control and no bending, do not apply in a practical real-world scenario.

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