Abstract: A variety of techniques for creating reliable signatures of jewelry and gemstones is provided. These signatures can be used as references for later authentication of the jewelry and/or gemstones. With some examples, blockchain may be used to reliably store the reference signatures for later use during authentication, and a digital asset such as a non-fungible token can link these reference signatures with the physical jewelry/gemstones. Reference signatures can uniquely identify the jewelry/gemstones based on their optical, acoustical, electromagnetic, or other physical characteristics. Artificial intelligence and machine learning techniques (such as convolutional neural networks) can be used to determine which feature characteristics of jewelry/gemstones are to serve as the reference signatures.

Abstract: A variety of techniques for authentication of jewelry and gemstones is provided. With some examples, blockchain may be used to store a reference signature for the jewelry/gemstone, and a digital asset such as a non-fungible token can link this reference signature with the physical jewelry/gemstone. During an authentication process, the reference signature stored on the blockchain can be accessed and compared with a test signature derived from an item that is purported to be the original jewelry/gemstone to determine whether they match to support a declaration that the purported jewelry/gemstone is authentic.

Abstract: A variety of techniques for authentication of jewelry and gemstones is provided. With some examples, blockchain may be used to store a reference signature for the jewelry/gemstone, and a digital asset such as a non-fungible token can link this reference signature with the physical jewelry/gemstone. During an authentication process, the reference signature stored on the blockchain can be accessed and compared with a test signature derived from an item that is purported to be the original jewelry/gemstone to determine whether they match to support a declaration that the purported jewelry/gemstone is authentic.

Abstract: A variety of techniques for authenticating jewelry and gemstones is provided. With some examples, a stored reference signature for an item is accessed, where the item comprises jewelry and/or a gemstone, where the reference signature comprises feature values for a set of features about the item, and where the feature values are derived from previously sensed physical characteristic data about the item. A test item is sensed to generate sensed physical characteristic data about the test item. This sensed physical characteristic data about the test item is processed to extract new feature values for the set of features, where the new feature values serve as a test signature of the test item. One or more processors can compare the test signature with the accessed reference signature and authenticate the test item as being the same as the item if the comparing indicates that the test signature and reference signature match.

Abstract: A variety of techniques for creating reliable signatures of jewelry and gemstones is provided. These signatures can be used as references for later authentication of the jewelry and/or gemstones. With some examples, blockchain may be used to reliably store the reference signatures for later use during authentication, and a digital asset such as a non-fungible token can link these reference signatures with the physical jewelry/gemstones. Reference signatures can uniquely identify the jewelry/gemstones based on their optical, acoustical, electromagnetic, or other physical characteristics. Artificial intelligence and machine learning techniques (such as convolutional neural networks) can be used to determine which feature characteristics of jewelry/gemstones are to serve as the reference signatures.