Identification and Localization of Defects in Printed Circuit Board (PCB) Images Utilizing a Mobile Cloud Computing (MCC)-based Intelligent System.

June 30, 2025

Project ID: AIRG/2024/CSE/07/18

Funding Source: AUST Internal Research Grant

Project Awarded: 20th April 2025

 

Principal Investigator:

Prof. Dr. Md. Shamim Akhter

Professor

CSE Department, AUST

shamimakhter.cse@aust.edu

 

Co-principal Investigator/s:

Prof. Dr. Kazi A Kalpoma

Professor

CSE Department, AUST

kalpoma@aust.edu

 

Project Duration: 1 Year

Budget Approved: 4,90,000.00

Expected Research Outcomes:

The expected output from the research is a mobile application that includes an image acquisition module, a cloud services module for remote image storage and processing, and a feedback module for identifying PCB flaws and communicating with users. Figure 3 presents the expected intelligent PCB defect detection system.

 

 

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