Machine Vision for Quality Inspection

Description

This project pioneers a machine vision solution for automated manufacturing quality control, mitigating human errors and fatigue. Leveraging cameras and algorithms, the system detects defects, boosting productivity and cutting operational costs. Ideal for industries prioritizing efficient and precise defect identification in production.

Team Members

1. E/18/128 Hariharan R. [Website, Email]
2. E/18/168 Karan R. [Website, Email]
3. E/18/373 Vilakshan V. [Website, Email]

Supervisors

1. Dr. Isuru Nawinne [Website, Email]
2. Prof. Roshan Ragel [Website, Email]
3. Keshara Weerasinghe Email

Links

1. Project page
2. Github repo
3. Department of computer engineering

Publications

1. Semester 7 report
2. Semester 7 sldies
3. Semester 8 report
4. Semester 8 slides
5. Author1, Author2 and Author2 "Research paper title" in Conference name 2021. Download PDF