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A hand-held smart device technology (Arch-I-Scan) is currently being developed and tested scanning and classifying archaeological artefacts. The technology is based on a new developed by ARM, jointly with University of Leicester within Innovate UK Transfer Partnership project (code KTP009890), and takes advantage of new for one-trial learning based on measure concentration phenomenon in high . This article discusses the development of a ‘proof of concept’ for automating the of Roman ceramic vessel types using whole vessels held in the collections of Jewry Wall Museum, Leicester. The ‘proof of concept’ illustrates the viability and possibility of classifying and discriminating between objects of different types onthe-fly a limited number of images. This technology is based on recent results (Gorban al. 2016; Gorban and Tyukin 2017) revealing peculiar geometric properties of finite but samples of data in high dimension. The ambition is to create a dedicated software that commonly available devices such as smart phones or tablets into scanners capable of even small vessel sherds to the correct form and fabric
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Tyukin et al. (2018) studied this question.
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