Systems, methods, devices, server computers, storage media, and instructions for prioritized device action triggered by device scan data are described. In one embodiment, a mobile device performs a method that involves executing a messaging application with an image capture interface and a scanning input. An associated scanning mode comprises capture of scan data from a plurality of input/output modules of the first client device, analyzes the scan data to identify one or more scan data patterns by matching at least a portion of the scan data against a set of data patterns, and selects a priority system action based on the results of the matching of the portion of the scan data against the set of data patterns. In some embodiments, the priority system action is selected based on a priority ranking for identified scan data types.

A system described herein uses data obtained from a wearable device of a first user to identify a second user and/or to determine that the first user is within a threshold distance of the second user. The system can then access an account of the second user to identify one or more items and retrieve model data for the item(s). The system causes the wearable device of the first user to render, for display in an immersive 3D environment (e.g., an augmented reality environment), an item associated with the account of the second user. The item can be rendered for display at a location on a display that is proximate to the second user (e.g., within a threshold distance of the second user) such that the item graphically corresponds to the second user. The item rendered for display may be an item of interest to the first user.

The system for recognizing one or more objects of a design creative within an environment, analyzing the one or more objects using a deep neural networking model and generating a modified design creative by (i) determining a location of a design creative within the media content, (iii) determining an object from the design creative, (iv) determining an attribute of the object, (v) implementing a compliance rule to the attribute of the object to determine a distinctness and an effectiveness of a brand product, (vi) generating an attention sequence and heatmap for the media content, (vii) automatically generating a first recommendation based on the compliance rule, the attention heatmap, and the attention sequence, and (viii) automatically generating a modified design creative for the environment based on the attention heatmap, the attention sequence and the generated first recommendation using the deep neural networking model.

A detection device detecting a scene related to a sponsor credit included in a commercial message from a target video is provided. The detection device comprises a detection unit that associates, from a preliminary video, a still image related to the sponsor credit with an audio signal related to the sponsor credit included other than in a frame or an audio signal configuring the commercial message so as to detect the scene related to the sponsor credit from the target video.

Exemplary embodiments of the present disclosure are directed towards system and method for generating scores and assigning quality index to videos on digital platform, comprising computing device that comprises video uploading module configured to allow user to record and upload videos on computing device, thereby transferring user uploaded videos to server over network. Server comprising video evaluating module configured to receive user uploaded videos and identifying video frames, thereby identifying different criteria. Video evaluating module configured to evaluate different criteria assigning scores to video frames and computing plurality of metrics of video frames based on assigned scores, then calculates mean and median values of metrics and assign mean and median values of video frame vectors, and combine video frame vectors of each video frame to obtain final video vector. Video evaluating module configured to assign weight to each value of final video vector to identify video quality index.

A system and method for protecting copyright in content distributed online, in combination with specified business rules. A portion of content presented for upload on a network is analyzed to detect an image associated with a content owner; the image is compared with reference images to identify the content owner; and business rules are applied to control unauthorized uploading of the content. The identifier may be a logo included in the content as a digital graphic, or a non-visual marker. Analysis is advantageously performed on a sample of video frames or a segment of preselected length. If the content is found to be copyrighted, and the attempted upload is unauthorized, uploading may or may not be permitted, and the user may or may not be charged a fee for subsequent access to the content.

An identification apparatus includes processing circuitry configured to determine whether or not a first image and a second image are similar based on feature points extracted from each of the first image and the second image, and determine whether or not the first image and the second image are similar by comparing neighborhood graphs generated for each of the first image and the second image, the feature points being as nodes.

Techniques for providing improved optical character recognition (OCR) for receipts are discussed herein. Some embodiments may provide for a system including one or more servers configured to perform receipt image cleanup, logo identification, and text extraction. The image cleanup may include transforming image data of the receipt by using image parameters values that optimize the logo identification, and performing logo identification using a comparison of the image data with training logos associated with merchants. When a merchant is identified, a second image clean up may be performed by using image parameter values optimized for text extraction. A receipt structure may be used to categorize the extracted text. Improved OCR accuracy is also achieved by applying on format rules of the receipt structure to the extracted text.

A method and system for marking and encoding recyclability includes material identification markers to enable a robot with computer vision capability to properly identify and distinguish between various materials. The material identification markers could include marks or symbols to describe a recyclable item or material. The material identification markers may be incorporated into the design of the item, printed on the item or label, or placed in any other way as this is a vision-based system. Further, the material identification markers may be visible or invisible to the human eye.

A commodity sales data processing apparatus includes an image processor and a controller. The image processor captures an image including a symbol. The symbol includes discount information relating to a discount on a price of a commodity. The controller acquires commodity information that uniquely specifies the commodity. The controller extracts a region from the image captured by the camera. The region includes the symbol. The controller transmits, to a server, an image of the region extracted by the controller. The controller acquires, from the server, the discount information based on the image transmitted to the server. The controller registers the commodity information acquired by the controller and a discounted price of the commodity based on the discount information acquired by the controller in association with each other.