PCBA AI Testing

Price Electronics, a leader in the design and manufacturing of commercial-grade HVAC products, also operates as an Electronics Manufacturing Services (EMS) provider, producing electronic components for a variety of industries. A critical aspect of their production process is the testing and verification of Printed Circuit Board Assemblies (PCBAs), which currently relies heavily on manual inspection. This manual process is not only time-consuming but also prone to human error, which can compromise the quality of the final product.

To address these challenges, Price Electronics seeks to implement an AI-driven solution that automates the PCBA testing process. By leveraging machine learning and advanced imaging techniques, the company aims to enhance the accuracy and efficiency of its testing procedures. This project will introduce a cost-effective, automated system that uses cameras to capture images of PCBAs and verify their quality based on pre-defined criteria. The system will be trained to detect defects and ensure that all components, such as LEDs, function correctly.

This initiative is crucial for Price Electronics to maintain its high standards of quality while scaling its production capabilities. The automated system will not only reduce labor costs but also ensure that every product meets stringent quality requirements, thereby minimizing returns and enhancing customer satisfaction.

Faculty Supervisor:

Ralph Dueck;Baha Rababah

Student:

Partner:

Price Electronics

Discipline:

Computer science

Sector:

Manufacturing

University:

Red River College Polytechnic

Program: