Development of Asbestos Containing Serpentinite Identification Method Using Hyperspectral Imaging

Chrysotile is one of the asbestos types minerals and it fibrous form in nature. Also, chrysotile may cause health problems. Accordingly, better to be known whether exists a construction site advance so that constructor can take counter plan for worker health. However, identifying small amount very difficult. In conventional way, experts quantify by using microscope X-ray diffraction analysis. It time-consuming depends on individual skills. Speaking identification techniques, has been reported hyperspectral imaging machine learning applications show good performance mineral tasks. this paper, prediction model identify trained with data serpentine which similar chrysotile. Finally, achieved 99.95% accuracy test data. Then, tested its capability predicting mixture both was unused training procedure performed potential.