True Light of Gem (寶石真光) - Color vision of human eyes is limited to the conventional RGB color system. Alternatively, color inspection with machine vision is offering ways to harness and interpret an abundance of data based on spectral color system. In one example, we show that how the AI will beat professionals in the color inspection of gemstones for identifications and classifications. Applying state-of-the-art mini spectral sensors and intelligent algorithms, the machine can determine the color grade of a gemstone precisely. It can swiftly determine whether a diamond is natural or synthetic; whether a jadeite is classified as “Grade A” or chemically-processed “Grade B” or “Grade C”; whether a pearl is formed in freshwater or saltwater; whether a ruby or sapphire is heat treated. Color inspection with machine vision provides a fresh perspective to appreciate the beauty of the colors of gemstones which were invisible to human eyes. It also inserts a powerful gatekeeper in telling “real or fake” at no ambiguity.
Dr. Chun Zhang obtained PhD in physics in HKUST in 1999. He then worked in UC Berkeley for four years, in NAMI for eight years, and in ASTRI for ten years, continuing his pursuit of optical sensing. He is now the Director of Sensing Devices and Integration of ASTRI, supervising the developments of leading technologies in digital jewellery inspection, portable environmental sensor, and smartphone spectrometer.
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