Visual Computing Technologies is providing consultancy services to the New Zealand Leather and Shoe Research Association (LASRA) under a six-years project, which aims to develop machine vision technologies to quantify leather quality industrial settings.
The project aims to develop a cutting-edge machine vision based platform for quality control in leather production in an industrial setting compliant to Industry 4.0 standards. The project is divided into two phases of development:
- The first phase involves development of a real-time machine vision system for simultaneous leather defect detection using cutting edge machine learning technologies. This module is aiming to identify multiple defects simultaneously at a low latency.
- The second phase aims to develop a module for defect categorization and quantification in terms of leather quality, that would recommend modifications in the processing pipeline.