A User Interface (UI) interface object detection system employs an initial dataset comprising a set of images, that may include synthesized images, to train a Machine Learning (ML) engine to generate an initial trained model. A data point generator is employed to generate an updated synthesized image set which is used to further train the ML engine. The data point generator may employ images generated by an application program as a reference by which to generate the updated synthesized image set. The images generated by the application program may be tagged in advance. Alternatively, or in addition, the images generated by the application program may be captured dynamically by a user using the application program.

Embodiments of the present disclosure provide improved user identity validation. Embodiments of the present disclosure provide accurate and secure user identity validation in contexts where existing user validation algorithm(s), for example facial recognition algorithms, fail due to obfuscation of user physical characteristic(s) by clothing, equipment such as PPE masks, and the like. Some example embodiments receive captured data associated with a user, the captured data comprising at least imaging data associated with the user, detect, from the imaging data, machine decodable data associated with the user, determine an asserted user identity associated with the user by decoding the machine decodable data, and validate the asserted user identity associated with the user utilizing at least a remaining portion the captured data.

An image processing system includes a detection processing portion, a first correction processing portion, and a reading processing portion. The detection processing portion detects an outline of an information code included in a captured image. The first correction processing portion corrects a shape of the information code based on the outline of the information code detected by the detection processing portion. The reading processing portion reads information included in the information code from the information code after correction by the first correction processing portion.

A collation device includes a processor configured to, by executing a program: (a) acquire a photographed image including a collation area provided on an object and a reference position area that serves as a reference for a position of the collation area; (b) detect the reference position area from the photographed image; (c) set a peripheral image area in the photographed image based on the reference position area and predetermined relative coordinates; and (d) detect the collation area in the peripheral image area.

Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing ray-tracing and mesh generation to illuminate two-dimensional digital vector images. In response to inserting a light source into a two-dimensional digital vector image including one or more vector elements, the disclosed system embeds the vector element(s) into a polygonal mesh generated for a region of the digital vector image. The disclosed system samples a plurality of rays at a plurality of points within the region and detect intersections of the rays with the vector element(s) or a bounding shape surrounding the region. Additionally, the disclosed system determines color values for mesh points in the polygonal mesh based on the intersections of the rays by interpolating color values associated with the intersected points. Furthermore, in some embodiments, the disclosed system subdivides the polygonal mesh according to a priority queue based on error scores associated with the determined color values.

A method for recognition of characters by optical means in an unclear or non-optimal image of an object document, the image carrying shadows or other impediments inputs the document into a shadow prediction model to obtain a shadow mask. A determination is made as to whether the shadow mask of the document affect an optical character recognition (OCR) performance. The method further inputs the document into a shadow removing model for removal of shadows to obtain an intermediate document if the shadow mask are deemed to affect the OCR performance, then OCR can then be performed on the final object document.

The present disclosure generally relates to techniques for managing augmented reality. Some aspects of the present disclosure include systems and techniques for facilitating setup and creation of augmented reality experiences. One example method generally includes receiving, at a computing device, an indication of a sensor input trigger via an administrative user platform, receiving, at the computing device and via the administrative user platform, a mapping of the sensor input trigger to an AR experience to be displayed at one or more user devices upon detection of the sensor input trigger, and sending, to another computing device, an indication of the sensor input trigger and the mapping of the sensor input trigger to the AR experience.

Disclosed are a method for counting regional population, a computer device and a computer readable storage medium. The method for counting regional population includes: acquiring an image to be analyzed in a target region; detecting a position of each first human body part in the image to be analyzed; determining, according to the position of each first human body part in the image to be analyzed and a first transformation relation, a physical position of each first human body part in the target region; and determining the population in each sub-region according to a relative positional relation between the position of the first human body part in the image to be analyzed and the sub-image, as well as a relative positional relation between the physical position of the first human body part and the sub-region.

A method comprises displaying, via an interactive interface, a medical scan and a plurality of prompts of each prompt decision tree of a plurality of prompt decision trees in succession, beginning with automatically determined starting prompts of each prompt decision tree, in accordance with corresponding nodes of each prompt decision tree until a leaf node of each prompt decision tree is ultimately selected. Labeling data indicating the ultimately selected leaf node of each prompt decision tree is determined for the medical scan.

A system and method for identifying whether an article is properly presented and duly owned by or licensed to a user and releasing assigned content to the user upon confirmation of such verifiably owned or licensed article. A manipulated user device equipped with at least one camera is deployed to determine if the article is properly presented. The device captures images and the system has the ability to determine from the images and any additional spatial information the orientation and/or position parameters of the article to confirm whether a valid spatial relationship exists between the article and the user device. Due ownership or license is verified by relying on tokens (e.g., Non-Fungible Tokens) and blockchain transaction records. The assigned content released to the user can be contextual and can range from items such as images, music, videos, games, virtual content, augmented content, coupons (virtual or physical), promotions, special offers and the like.