An authentication system and authentication method for an electronic cigarette and an electronic cigarette configured to be connected within such system so that the authentication method can be applied to the electronic cigarette. The system can be divided into 3 main components, namely the electronic cigarette itself, a mobile terminal in communication with the electronic cigarette and reading a security label from the electronic cigarette, and a service terminal connected to the mobile terminal, for instance through the cloud. The system and method protects particularly from counterfeit cartridges and secures that a cartridge of the intended content is connected in the electronic cigarette. In addition, age verification can be performed.

The present disclosure relates to management of synthetic media detection determinations and automatic generation of notifications thereof. Processing of the present disclosure provides a synthetic media detection component, able to be integrated with a plurality of host application/services, where the synthetic media detection component is adapted to work as a trust factor that automatically generates predictive determinations as to whether digital content has been digitally altered. In doing so, trained artificial intelligence processing is applied that executes a contextual analysis of digital content and generates a determination as to whether digital content (or a portion thereof) may be synthetic media. Notifications are automatically generated and provided for rendering across any host application/service endpoints that provide a representation of the digital content including future representations of digital content. Automated generation and transmission of synthetic media detection determinations are aimed at combatting disinformation and subsequent presentation of untrusted/unauthenticated digital content.

Apparatuses and methods associated with preserving authentication under item change are disclosed herein. In embodiments, acquiring digital image data of an image of at least a portion of a target physical object; extracting features from the image data to form a digital fingerprint; querying the database system to seek a matching record based on the digital fingerprint; based on an amount of difference between the digital fingerprint and a stored digital fingerprint of the database, update the database system to output a new indication of a new match to the physical object for any new samples that are not matchable to the stored digital fingerprint within a first predetermined similarity threshold provided the new samples are matchable to the digital fingerprint within a second predetermined similarity threshold. Other embodiments may be disclosed or claimed.

A method for extracting a fingerprint of a video includes calculating 2D discrete cosine transform (DCT) coefficients from each of the plurality of frames of the video, extracting, from the 2D DCT coefficients, a coefficient having a basis satisfying at least one of up-down symmetry or left-right symmetry, and calculating a fingerprint of the video based on the extracted coefficient.

A method for checking the authenticity of products, by checking an image (A) of a product. The proof of authenticity is not visible to the human eye and cannot be copied. This is characterized in that a code stored in a halftone image by manipulation of dots and/or a manipulated field bounded in the halftone image can be read by means of an optical device and compared with a retrievable value in at least one database. In at least one field (F1 to F5) a part of a serial number is determined which describes the structure of the serial number and a hash function used for transmitting the serial number to the database, and this is also characterized in that the serial number is subsequently assembled and encrypted with the corresponding hash function.

An unmanned aerial vehicle (UAV) may couple to a sensor payload device that includes cameras, radar, lidar, and/or other sensors. The UAV, coupled to the sensor payload device, may fly within the airspace of and/or around a property and capture images and/or sensor measurements of the property. The images and sensor measurements may be certified so that they may be verified as unaltered by viewers. A 3D representation of the property may be generated, and defects in the property may be detected by comparing the 3D representation to media depicting property defects. A report identifying the defects may be generated.

A way to design a codebook for estimating the type of a molecule at a particular location in a fluorescence microscopy image makes use of one or both of (1) knowledge of the non-uniform prior distribution of molecule types (i.e., some types are known a priori to occur more frequently than others) and/or knowledge of co-occurrence of molecule types at close locations (e.g., in a same cell); and (2) knowledge of a model of the (e.g., random) process that yields the intensities that are expected at a location when a molecule with a particular subset of markers (i.e., a molecule of a type that has been assigned a codeword that defines that subset) is present at that location. The codebook design may provide experimental efficiency by reducing the number of images that need to be acquired and/or improve classification or detection accuracy by making the codewords for different molecule types more distinctive.

The present disclosure relates generally to the processing of machine-readable visual encodings in view of contextual information. One embodiment of aspects of the present disclosure comprises obtaining image data descriptive of a scene that includes a machine-readable visual encoding; processing the image data with a first recognition system configured to recognize the machine-readable visual encoding; processing the image data with a second, different recognition system configured to recognize a surrounding portion of the scene that surrounds the machine-readable visual encoding; identifying a stored reference associated with the machine-readable visual encoding based at least in part on one or more first outputs generated by the first recognition system based on the image data and based at least in part on one or more second outputs generated by the second recognition system based on the image data; and performing one or more actions responsive to identification of the stored reference.

A collation device includes a light source unit; a camera unit that receives light emitted from the light source unit and reflected in a collation area of an object to acquire a photographed image of the collation area; a display unit; and a processor configured to, by executing a program: display a guide of a bright spot portion of the light source unit on the photographed image on the display unit so that an angle formed by the light source unit, the camera unit, and the collation area of the object is a predetermined angle.

Methods disclosed herein may be conducted as part of a process of generating a unique digital fingerprint of a physical artifact and/or to determine whether the physical artifact within a region of interest can be used for authentication/validation against a unique digital fingerprint of the physical artifact that has been generated. A method includes capturing, by a device, a current digital image of a region of interest containing a physical artifact; and presenting, by the device, an instruction to capture a next digital image of a segment of the region of interest, the instruction comprising a graphical indication of the segment generated based on the current digital image. Another method includes receiving, from a device, a current digital image captured of a region of interest containing a physical artifact; generating, based on the current digital image, data corresponding to a graphical indication of a segment of the region of interest; and transmitting, to the device, the data corresponding to the graphical indication of the segment for use by the device to present an instruction to capture a next digital image of the segment of the region of interest.