The disclosure is generally directed to optical devices and apparatuses for capturing, structuring, and using interlinked multi-directional still pictures and/or multi-directional motion pictures as well as the related systems and methods, and their applications on computing and/or other devices.

Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar objects are determined and presented to the user.

A system, apparatus, method, and non-transitory computer readable medium for performing image search verification using an online platform may include a memory storing computer readable instructions and a database corresponding to a neural network associated with the online platform, and processing circuitry configured to execute the computer readable instructions. The processing circuitry may cause the server to receive an image-based search query from a first user device, the image-based search query including at least one image including a search object, and search query parameters related to the search object, analyze the search object using the neural network to determine an object type of the search object and at least one object type specific characteristic of the search object, and receive at least one search result response from at least one second user device.

A system is presented. The system includes an acquisition subsystem configured to obtain images corresponding to a target domain. Moreover, the system includes a processing subsystem in operative association with the acquisition subsystem and including a memory augmented domain adaptation platform configured to compute one or more features of an input image corresponding to a target domain, identify a set of support images based on the features of the input image, where the set of support images corresponds to the target domain, augment an input to a machine-learnt model with a set of features, a set of masks, or both corresponding to the set of support images to adapt the machine-learnt model to the target domain, and generate an output based at least on the set of features, the set of masks, or both. Additionally, the system includes an interface unit configured to present the output for analysis.

A seating reservation system running on a network server has functionality that can be trained to detect information relating to individual seats, their locations, and different seating types in a new or modified seating plan loaded into the system. This detected seating information can be maintained in seating plan files that can be edited to include metadata. Upon request, by a client application running under control a user, portions or all of the information in a seating plan file can be transferred as a web page to the client application for display and interaction with by the client application user for the purpose of completing a seat reservation process.

A system and method include obtaining and authenticating image files from users such as insured users at the request of an entity such as an insurance provider. The requesting entity may supply an electronic address of the user and a unique identifier. The system may transmit a link to the electronic address. When selected, the link causes an image authentication application to be installed on a user device. The application takes the images securely and separately from a native camera application. Each image authentication application may be customized for each requesting entity. The authentication server may identify the requesting entity that made the request and identify a corresponding image authentication application to be provided to the electronic address. The images from the image authentication application may be authenticated via reverse image search, time, geolocation, and/or other information. The authenticated images and/or related data may be provided to the requesting entity.

Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

The present disclosure provides a method performed at a computing device for recognizing an image's content. The method includes: extracting one or more features from an image to be recognized; comparing the features of the image with a set of image classifiers and obtaining a probability value for each image classifier; selecting, from the set of image classifiers, at least one image classifier as a target image classifier according to the probability value of the image classifier; determining a degree of similarity between each image and the image to be recognized, and selecting, from the target image classifier, multiple images as target images when their respective degrees of similarity with the image to be recognized exceed a predefined threshold; and labeling, the image to be recognized according to a class label corresponding to the target image classifier and entity labels corresponding to the target images in the target image classifier.

Devices, systems, and methods enhance the inspection of internal areas and occupants of vehicles, and can employ one or more high-resolution cameras, one or more auxiliary illumination devices and a related computer system. According to various embodiments, an auxiliary illumination device can be synchronized to one or more cameras, and configured to supply auxiliary illumination to facilitate capture of accurate and usable images. Advanced image processing solutions assist with identifying individuals inside a vehicle, removing light glare and undesired reflections from a window surface, and capturing an image through a tinted window, among other things. Further, embodiments can compare a captured image to an authenticated image from a database, so as to confirm the identity of a vehicle occupant.

Databases storing digital fingerprints of physical objects enable enhanced security and collaborative authentication. Digital fingerprints enable reliable identification of an object without the need for attaching or associating physical tags, labels or other identifying materials with the object; and serialization for identification also is obviated. By combining digital fingerprinting and data collaboration in one process, parties to the data collaboration can gain a level of certainty that data attributed to an object by different parties or at different times is attributed to only that object and not erroneously attributed to an incorrect or counterfeit object. Collaborative authentication platforms and processes, combining digital fingerprint databases with associated incentive databases, contribute enhanced information to the authentication databases, and provide unparalleled reliability and enriched metadata to supply chain tracking, detecting counterfeit objects, and other applications.