GIAT: Gems Identification Automatic Tools

● GIAT: a machine learning for identification automatic of gemstones 

○ Collaboration with South Can Tho University (SCTU) ○ en.nctu.edu.vn

○ Collaboration with Hanoi University of Mining and Geology (HUMG) ○ humg.edu.vn 

○ Collaboration with Liulab Gemological Center (LGC) ○ liulab.edu.vn 
○ Reference: Le Ngoc Nang {lengocnang@liulab.edu.vn}; Assoc.Prof. Giang Khac Nguyen {nguyenkhacgiang@humg.edu.vn};

● Description: 

Currently, gemstone sorting and verification are mostly handled through manual and time-consuming techniques. By utilizing artificial intelligence techniques, the project hopes to create simple tools, called GIAT (Gems Identification Automatic Tools) to serve the complex tasks of gemstone appraisal and grading. Because the gem data sources cannot be collected at the same time in a short time, but mainly through gem inspection orders. Gemstone groups and their sub-sectors are not determined from the beginning but through data from orders appearing over time, which accumulate gradually. Therefore, the project requires an intelligent system that can be integrated in real time.

○ Keywords: 

machine learning, dynamic classification, streaming data, one-class, SVM; human-computer interaction, gemstone classification, machine learning application.

● Publications:

● Download: Version 1.0