A computer-implemented method for surface modeling includes: receiving one or more polarization raw frames of a surface of a physical object, the polarization raw frames being captured with a polarizing filter at different linear polarization angles; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and detecting a surface characteristic of the surface of the physical object based on the one or more first tensors in the one or more polarization representation spaces.

There is provided a computerized system and method of generating a unique identification associated with a gemstone, usable for unique identification of the gemstone. The method comprises: obtaining one or more images of the gemstone, the one or more images captured at one or more viewing angles relative to the gemstone and to a light pattern, thus giving rise to a representative group of images; processing the representative group of images to generate a set of rotation-invariant values informative of rotational cross-correlation relationship characterizing the images in the representative group; and using the generated set of rotation-invariant values to generate a unique identification associated with the gemstone. The unique identification associated with the gemstone can be further compared with an independently generated unique identification associated with the gemstone in question, or with a class-indicative unique identification.

There is provided a computerized system and method of generating a unique identification associated with a gemstone, usable for unique identification of the gemstone. The method comprises: obtaining one or more images of the gemstone, the one or more images captured at one or more viewing angles relative to the gemstone and to a light pattern, thus giving rise to a representative group of images; processing the representative group of images to generate a set of rotation-invariant values informative of rotational cross-correlation relationship characterizing the images in the representative group; and using the generated set of rotation-invariant values to generate a unique identification associated with the gemstone. The unique identification associated with the gemstone can be further compared with an independently generated unique identification associated with the gemstone in question, or with a class-indicative unique identification.

An information processing device comprises an electronic device, an averaging circuit acquiring output signals from the electronic device multiple times in a predetermined period and averaging the signals acquired multiple times, a memory circuit storing an averaged signal averaged by the averaging circuit and a PUF-ID extraction circuit generating a unique identifier based on the averaged signal.

An information processing device comprises an electronic device, an averaging circuit acquiring output signals from the electronic device multiple times in a predetermined period and averaging the signals acquired multiple times, a memory circuit storing an averaged signal averaged by the averaging circuit and a PUF-ID extraction circuit generating a unique identifier based on the averaged signal.

Methods and systems for setting up care areas (CAs) for inspection of a specimen are provided. One system includes an imaging subsystem configured for generating images of a specimen and a computer subsystem configured for determining a number of defects detected in predefined cells within one or more of the images generated in a repeating patterned area formed on the specimen. The computer subsystem is also configured for comparing the number of the defects detected in each of two or more of the predefined cells to a predetermined threshold and designating any one or more of the two or more of the predefined cells in which the number of the defects is greater than the predetermined threshold as one or more CAs. In addition, the computer subsystem is configured for storing information for the one or more CAs for use in inspection of the specimen.

A method is disclosed comprising: connecting, by a part scanner, to a blockchain platform; outputting a user interface, the user interface including at least a first input component and a second input component; capturing an image of a surface of a part; outputting the image in the user interface; generating a surface descriptor based on the image; when the first input component is activated, attempting to store, in the blockchain platform, an authentication record that is generated based on the surface descriptor, and outputting, in the user interface, an indication of an outcome of the attempt to store the authentication record in the blockchain platform; and when the second input component is activated, attempting to authenticate the part based on the surface descriptor and outputting, in the user interface, an indication of an outcome of the attempt to authenticate the part.

At a high level, embodiments of the invention relate to augmenting video data with presence data derived from one or more proximity tags. More specifically, embodiments of the invention generate forensically authenticated recordings linking video imagery to the presence of specific objects in or near the recording. One embodiment of the invention includes video recording system comprising a camera, a wireless proximity tag reader, a storage memory and control circuitry operable to receive image data from the camera receive a proximity tag identifier identifying a proximity tag from the proximity tag reader, and store an encoded frame containing the image data and the proximity tag identity in the storage memory.

At a high level, embodiments of the invention relate to augmenting video data with presence data derived from one or more proximity tags. More specifically, embodiments of the invention generate forensically authenticated recordings linking video imagery to the presence of specific objects in or near the recording. One embodiment of the invention includes video recording system comprising a camera, a wireless proximity tag reader, a storage memory and control circuitry operable to receive image data from the camera receive a proximity tag identifier identifying a proximity tag from the proximity tag reader, and store an encoded frame containing the image data and the proximity tag identity in the storage memory.

A method of object authentication based on digital blueprints and physical fingerprints comprising the steps of acquiring a set of training blueprints and fingerprints, training, object enrollment and object authentication. The method uses a pair of a mapper realized as an encoder and a decoder and a set of multi-metric scores originating from the decomposition of mutual information and applied to both the output of the encoder and decoder and producing a feature vector for a one-class classifier. The method is trained only on the original physical objects and does not use any fakes for reliable authentication.