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Morris Franken received a master degree in Artificial Intelligence at the UvA, with special interest in Computer Vision. He graduated on the subject of automatic ancient hieroglyph recognition, and this study led to the creation of an app called TombReader that can automatically recognize museum objects where users can start a quest through the museum and scan objects to reveal clues of the whereabouts of the next object. With this Automatic Egyptian Hieroglyph Recognition he won the second prize of the NGI Information Thesis Award. More
His current work includes creating a system that can automatically recognize food types in images, with the intention to estimate the number of calories in that image, or provide the user with a recipe of how to make it. While the system is still in development, a demo is available here.