Design and realization of an automatic classification system for PCB recycling
NOTE: This is a graduation project only, not applicable for a regular internship
In this bachelor thesis project, the student will design and construct a demonstrator system that addresses a significant challenge in the recycling and reuse of printed circuit boards (PCBs). The project focuses on the development of an automated system capable of detecting, and classifying PCBs based on their recyclability and reuse potential. This system will contribute to the broader goal of promoting sustainability and circular economy practices by improving the efficiency and accuracy of PCB recycling processes.
The demonstrator will incorporate an AI-based classification system to identify and categorize PCBs. While the AI component plays a crucial role, the primary focus of the project lies in the design and implementation of the mechanical and mechatronic systems. This includes tasks such as developing and integrating machine vision components for image capture and processing, selecting and configuring sensors and actuators, and designing the necessary mechanical structures for identifying PCBs efficiently.
Throughout the project, the student will be involved in various aspects of system development. These include designing the architecture of the demonstrator, programming the machine vision and control systems, and selecting appropriate components to ensure reliable and precise operation. The project will also require the student to address challenges related to system integration and testing, ensuring that the final demonstrator meets both functional and performance requirements.
By the end of the project, the student is expected to deliver an operational demonstrator capable of detecting and classifying PCBs with a high degree of accuracy. This system will serve as a proof of concept, showcasing how innovative mechatronic solutions can be applied to real-world challenges in sustainability. The results of this project could provide valuable insights and inspiration for the development of more advanced recycling technologies in the future.
Project duration:
Start: 03-02-2025
End: 04-07-2025
Educational programs:
– Mechanical Engineering (WTB),
– Mechatronics (MT),
– Electrical Engineering (ET)
Interested, please send your motivation letter and CV before the 8th of December 2024 to Roy de Kinkelder (r.dekinkelder@saxion.nl)