Techniques are described for identifying packages based on shipping label fingerprints. A first camera captures a first image of a label on a package when the package is in a first location within a warehouse. A first representation of the first image is generated. A second camera captures a second image of a label on a package when the package is in a second location within the warehouse. A second representation of the second image is generated. The second representation is matched to the first representation to identify the package placed in the second location.

A computer can comprise a housing, a microprocessor disposed within the housing, a display, and a communication interface communicatively coupled to the microprocessor. The computer can be configured, responsive to locating decodable indicia within content viewable on the display, to decode the decodable indicia to produce at least one decoded message. The computer can be further configured to display the content with decoded message data being embedded into the content. The decoded message data can be provided by at least one decoded message, data derived from the decoded message.

A biosensor diagnostic device can include an interface configured to receive an electrical signal from a biosensor cartridge in response to being connected to a connection terminal of the biosensor cartridge; an image reader configured to capture a code image on the biosensor cartridge. And a signal processor configured to process a signal received from the interface for generating diagnostic result information. Also, the biosensor diagnostic device can include a wireless transceiver configured to transmit information corresponding to the code image and the diagnostic result information to a server or an external terminal.

An information processing system includes: a displayed goods recognition processing unit configured to recognize information indicating goods, the goods appearing in image information obtained by imaging a display shelf; and a verification target extraction processing unit configured to extract a recognition result to be a verification target out of the goods displayed on the display shelf, in which the verification target extraction processing unit extracts the verification target by using a change in the information indicating the goods displayed on the display shelf that has been recognized from the image information.

An information processing system including a circuitry configured to detect first identification information used to identify a job, generate second identification information associated with the first identification information, and create a slip on which the first identification information and the second identification information are displayed.

The invention relates to an article which includes an optical symbol which can be scanned/captured by an image capturing device. The optical symbol incorporates, or is encoded with (i) a set of instructions which are readable and executable by a computing device/processor; and (ii) data which is associated with the article. At least some of the instructions are configured such that, when a computing device/processor executes the instructions, the data is used by the device/processor during the execution of the instructions. The optical symbol may be a two-dimensional barcode or a three-dimensional barcode. The data may be read-only memory (ROM).

Selection of on optical pattern in a scene is identified by overlaying, on a display, an indicator of a detected optical pattern identifying a location of the optical pattern in one or more images, receiving a user input on the display at a position that does not overlap the location of the optical pattern, and presenting information related to the optical pattern, based on receiving the user input, even though the position of user input did not overlap the location of the optical pattern. The user input can be received at a detached selection indicator and/or using an adaptive input area.

Apparatus having model-based machine learning and inferencing logic for controlling object transfer, comprises: an image input component to receive image data derived from a captured image of an object; a captured image classifier to 5 generate a first classification of the object by activating a trained model to analyse the image data; an input component to receive an object identifier for the object; an object identification classifier to generate a second classification of the object according to the object identifier; matching logic to detect failure to reconcile the first and second classification; heuristic logic responsive to the matching logic to 10 determine a causal factor in the failure; and training logic, operable when the heuristic logic determines that a causal factor in the failure to reconcile is a deficient first classification, to provide model training input comprising the image data and the object identifier to the model-based machine learning logic.

Photographed image acquisition means (201) of an information processing device (20) acquires a photographed image photographed by photographing means (25) capable of photographing a target image including predetermined information. Reference means (202) refers to storage means (200) for storing the target image photographed in the past and information extracted from the target image in the past, in association with each other. Determination means (207) determines whether or not the target image photographed in the past has been captured in the photographed image. Processing execution means (211) executes, when the target image photographed in the past has been captured in the photographed image, predetermined processing based on the information associated with the target image.

An embodiment of the present invention is directed to utilizing image recognition technology to identify discussions and images of exposed customer information indicating compromise, site vulnerabilities, or documents on forums and social media platforms. An embodiment of the present invention is directed to utilizing invisible watermarking of digital bank statements to identify specific customers with exposed information indicating compromise, or reporting site vulnerabilities. An embodiment of the present invention is directed to including an identifier, e.g., token/beacon, that may be traced back to a compromised customer. The actual location of the QR code/beacon may be randomized.