“Entrupy's technology is a mix of machine learning and microscopy,” Ashlesh Sharma, Entrupy's co-founder, told Digital Trends. “We train our machine-learning algorithms to pick up data points from millions of microscopic images looking for qualities like texture, contrast, geometric shapes, thread counts, minor manufacturing artifacts such as scratches in the hardware stamps, wear, and many more details that you wouldn't be able to easily see. These details are in fed into our custom machine learning pipeline, allowing us to determine a product's authenticity. ”

Entrupy公司的联合始人阿什莱斯•沙玛对“数位趋势”网站表示：“Entrupy结合了机器学习与显微观察技术。我们训练机器学习算法从数百万张显微图像中获取数据点，分析纹理、对比度、几何形状、织物经纬密度以及五金件划痕、磨损等诸多人眼难以观测的细节。这些细节信息被输入到专门的机器学习程序中，就能确定商品的真伪。”

Although Entrupy is currently limited to designer bags, the technology can be expanded to almost any type of product. The company has already tested it on a variety of goods, and is set to expand the functionality of the device in the near future.

目前，Entrupy扫描仪检测的产品仅限于名牌包，但是该技术几乎可以应用于各种产品。该公司已经在不同种类的商品上进行过测试，并预计在不久的将来扩大该设备的功能。

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