An interactive virtual aquarium simulation system includes a two-dimensional (2D) fish image having a unique identifier associated therewith, with the unique identifier corresponding to predefined fish movements. A scanner scans the 2D fish image and converts to a digital image. A three-dimensional (3D) mapping processor is coupled to the scanner to generate a 3D fish image based on the digital image. A virtual simulation processor is coupled to the 3D mapping processor to generate simulation video of a virtual aquarium including a plurality of fish and the 3D fish image. The 3D fish image swims within the virtual aquarium based on the predefined fish movements. The simulation video of the virtual aquarium with the 3D fish image is provided to a display.

A handheld electronic device, such as a GPS-enabled wireless communications device with an embedded camera, a GPS-enabled camera-phone or a GPS-enabled digital camera, determines whether ephemeris data needs to be obtained for geotagging digital photos taken with the device. By monitoring user activity with respect to the camera, such as activation of the camera, the device can begin pre-acquisition of a GPS position fix by obtaining needed ephemeris data before the photograph is actually taken. This GPS pre-acquisition improves the likelihood that a position fix (GPS lock) is achieved by the time the photo is taken (to enable immediate geotagging). Alternatively, the photo can be geotagged retroactively by appending the current location to the metadata tag associated with the digital photo. An optional acquisition status indicator can be displayed on a user interface of the device to indicate that a position fix is being obtained.

A method, a readable recording medium, and a system are disclosed for managing software version compatibility amongst a plurality of devices within a network, the method includes hosting a configuration file on a server populating the configuration file for each of the one or more devices with a device identifier and one or more software modules associated with each of the one or more devices, the at least one software module configured to perform one or more specific operations on a device; executing a configuration tool on the server to compare the one or more software modules in each of the one or more devices to check for conflicts between two or more software modules on the one or more devices; and replacing at least one of the two or more software modules on the one or more devices, if a conflict exists between the two or more software modules.

A method and device for image storage control, and a storage medium are disclosed. The method may include: collecting biometric information of a user during capturing an image; and performing storage and clearing processing on image data obtained by capturing according to storage control information corresponding to the biometric information.

A double attention network (DANet)-based drone patrol and inspection system for coastline floating garbage, including: an image acquisition module configured to shoot a video of a coastline in need of patrol and inspection by using a drone, and obtain an image from the video; a feature extraction module configured to extract shallow features and deep features, fuse the shallow features and the deep features to obtain a shared feature, and finally output a panoramic recognition result; a network training module configured to perform training on the labeled image so that the network can recognize the coastline and floating garbage; and a path correction module configured to adjust a flying direction of the drone.

An example image forming device includes an image input unit to receive a plurality of original documents, and a processor to extract handwriting from the respective original documents to generate a printed layer and a handwritten layer for each of the respective original documents, and to reconfigure the printed layers and a plurality of handwritten layers sharing the printed layers as respective files.

Based on one metadata template determined from among a plurality of metadata templates, a screen including a scan image, a plurality of keys defined in the one determined metadata template, and value input fields each corresponding to a different one of the plurality of keys is displayed, and in a case where a user selects any one of the plurality of keys displayed in the screen, character string areas determined to match a data format of a value corresponding to the key are displayed in such a manner that the character string areas are recognizable as value candidates on the scan image.

An electronic device includes: a communication unit that performs communication with an external device; and a control unit that issues a command to the external device via the communication unit, on the basis of at least one of capacity of the external device, and capacity of the electronic device.

An image processing apparatus includes an input unit configured to input image data, a learning unit configured to perform machine learning processing using information contained in the image data input by the input unit, an estimation unit configured to output an estimation result based on the information contained in the image data using a learning model generated by learning of the learning unit, and a determination unit configured to determine whether the image data input by the input unit contains sensitive information, wherein in a case where the determination unit determines that the image data input by the input unit contains the sensitive information, the learning unit does not perform machine learning on at least the sensitive information contained in the image data.

A system (1) for handling data captured by a body worn camera (2) is disclosed. The system (1) comprises a body worn camera (2), a docking station (3), and a recorder (4). The camera (2) comprises a local storage device (6). The docking station (3) comprises a data interface (7) for connecting the local storage device (6) to the docking station (3), and a first network interface (8) for connecting the docking station (3) to the recorder (4). The docking station is physically separate from the recorder. The recorder (4) comprises a second network interface (9) for connecting the recorder (4) to the docking station (3), and a recorder storage device (10). The recorder (4) is arranged to retrieve the captured data from the camera (2) and store it in the recorder storage device (10), and comprises a third network interface (11) for transfer of stored data to a data management system (5). A method for handling data captured by a body worn camera (2) is also disclosed.