ICT Mahidol research team has successfully registered the copyright for their two projects: “Automatic Classification of Mangosteens and Ripe Status in Images using Deep Learning-based Approaches, Multimedia Tools and Applications (MTAP),” and “Automatic Grade Assessment and Translucent Flesh Disorder Detection of Mangosteens from Capturing Images using Deep Learning and Image Processing-based Approaches”

The Faculty of Information and Communication Technology at Mahidol University (ICT Mahidol) congratulates the Machine Vision and Information Transfer Lab (MVIT) research team on the registration of their copyrighted works. These projects are collaborative efforts between Mahidol University and Chulalongkorn University. The two registered works are “Automatic Classification of Mangosteens and Ripe Status in Images using Deep Learning-based Approaches, Multimedia Tools and Applications (MTAP)” with copyright number No. 1.011025, and “Automatic Grade Assessment and Translucent Flesh Disorder Detection of Mangosteens from Capturing Images using Deep Learning and Image Processing-based Approaches” with copyright number No. 1.010995.

The research team comprises Assoc. Prof. Dr. Worapan Kusakunniran, the Head of the MVIT Lab, ICT Mahidol; Asst. Prof. Dr. Pimpinan Somsong from the School of Agricultural Resources, Chulalongkorn University; Mr. Kittikhun Thongkanchorn Computer Technical Officer (Senior Professional Level) from the Technology Infrastructure Department (ICT Alumnus #1); Mr. Thanandon Imaromkul (ICT Alumnus #14); and Mr. Kittinun Aukkapinyo (ICT Alumnus #14).

The Faculty of ICT extends its congratulations to all members of the research team, considering this achievement a source of great pride for the faculty.