Disclosed are various embodiments that relate to a system or a method for managing individual actions. In one example, among others, a system includes a client device that is configured to display a camera user interface for capturing an image and identify an action that stores the image captured in the memory. An image tag that describes the image is generated. The client device is configured to determine that the image has enterprise content based on the image tag and determine an enterprise policy to apply to the enterprise content. Text content from the image is extracted based on the enterprise policy. The client device is configured to display a user interface that includes the text content extracted from the image and transmit the text content of the image to an application based on the enterprise policy.

Disclosed are various embodiments that relate to a system or a method for managing individual actions. In one example, among others, a system includes a client device that is configured to display a camera user interface for capturing an image and identify an action that stores the image captured in the memory. An image tag that describes the image is generated. The client device is configured to determine that the image has enterprise content based on the image tag and determine an enterprise policy to apply to the enterprise content. Text content from the image is extracted based on the enterprise policy. The client device is configured to display a user interface that includes the text content extracted from the image and transmit the text content of the image to an application based on the enterprise policy.

A device, apparatus, and method provide logic for processing information. In one implementation, a device may include an image acquisition unit configured to acquire an image, and a transmission unit configured to transmit information associated with the image to an information processing apparatus, such as a server. The server may be associated with a first feature quantity dictionary. The device also may include a receiving unit configured to receive a second feature quantity dictionary from the server in response to the transmission. The second feature quantity dictionary may include less information than the first feature quantity dictionary, and the server may generate the second feature quantity dictionary based on the image information and the first feature quantity dictionary. The device may include an identification unit configured to identify an object within the image using the second feature quantity dictionary.

A device, apparatus, and method provide logic for processing information. In one implementation, a device may include an image acquisition unit configured to acquire an image, and a transmission unit configured to transmit information associated with the image to an information processing apparatus, such as a server. The server may be associated with a first feature quantity dictionary. The device also may include a receiving unit configured to receive a second feature quantity dictionary from the server in response to the transmission. The second feature quantity dictionary may include less information than the first feature quantity dictionary, and the server may generate the second feature quantity dictionary based on the image information and the first feature quantity dictionary. The device may include an identification unit configured to identify an object within the image using the second feature quantity dictionary.

An image associated with a poll may be acquired via a camera. One or more symbols indicating responses may be found by analyzing the image. The responses specified by the symbols may be determined and saved. The responses may also be displayed to the operator and/or to the respondents.

A display apparatus includes circuitry. The circuitry receives an input of hand drafted data. The circuitry displays, as an object, the hand drafted data or text converted from the hand drafted data. The circuitry adjusts attribute values of multiple objects being displayed, the multiple objects including the object displayed based on the input.

Methods for capturing an image for identity verification and recordation are provided. The methods may include receiving, at a specialized processing device, transfer data from a remote terminal. The methods may include determining, based on the transfer data, that an identity verification process is required to execute the transfer data. The methods may include sending, based on a determination that the identity verification process is required, a first image file to the terminal for display. The methods may include receiving from a mobile device, information derived from the first image file which identifies the transfer data and a second image file. The methods may include determining, whether the second image file meets a predefined criteria associated with the transfer data identified by the information derived from the first image file. The methods may include sending an authorization signal upon determining that the second image file meets the criteria.

Systems and methods presented herein include an amusement park system that includes an augmented experience system. The augmented experience system is configured to track guest interactions of a plurality of guests of an amusement park with one or more employees of the amusement park, one or more mobile devices, one or more wearable devices, one or more themed devices, or one or more physical objects disposed within a real-world environment of the amusement park. The augmented experience system is also configured to augment the real-world environment of the amusement park based at least in part on data relating to the guest interactions.

An image processing system receives an image depicting a bundle of boards. The bundle of boards has a front face that is perpendicular to a long axis of boards and the image is captured at an angle relative to the long axis. The image processing system applies a homographic transformation to estimate a frontal view of the front face and identifies a plurality of divisions between rows in the estimate. For each adjacent pair of the plurality of divisions between rows, a plurality of vertical divisions is identified. The image processing system identifies a set of bounding boxes defined by pairs of adjacent divisions between rows and pairs of adjacent vertical divisions. The image processing system may filter and/or merge some bounding boxes to better match the bounding boxes to individual boards. Based on the bounding boxes, the image processing system determines the number of boards in the bundle.

A method executed by a computer includes receiving an image from a client device. A facial recognition technique is executed against an individual face within the image to obtain a recognized face. Privacy rules are applied to the image, where the privacy rules are associated with privacy settings for a user associated with the recognized face. A privacy protected version of the image is distributed, where the privacy protected version of the image has an altered image feature.