Download JAR files tagged by capturing with all dependencies

PhotoPicker+ is a component made for developers to easily integrate it inside their application and enable photo and video picking functionality. This component enables browsing media items from services such as Facebook, Picasa, Instagram, Flickr, Google+, Google Drive, SkyDrive, YouTube and Dropbox. It also enables capturing photos and videos with the native camera application and choosing media items from the device.

PhotoPicker+ is a component made for developers to easily integrate it inside their application and enable photo and video picking functionality. This component enables browsing media items from services such as Facebook, Picasa, Instagram, Flickr, Google+, Google Drive, SkyDrive, YouTube and Dropbox. It also enables capturing photos and videos with the native camera application and choosing media items from the device.

The Android Capture Library is a module responsible for capturing pictures using the front camera of the targeted device and then evaluating them by utilizing an external IDLiveFace Plus server. The library supports automatic face capture, which will take a picture automatically when the captured image meets the correct requirements for processing. This module is designed to prevent specific injection attacks in Android environments and is intended to be bundled into other Android applications as a modular feature to help verify digital identity attacks.

Samply.Common.MDRFaces is a Java Server Faces library which eases the user interface design of web applications where the respective data model relies on well defined data elements. Especially in case of systems for electronic data capturing, where the necessary data model is not known beforehand and can even vary over time, the user interface has to be easily adjustable. This often means the user instead of the developer designs the various forms for data entry and therefore an easy to use mechanism has to be provided. By using Samply.MDRFaces the developer can focus on the implementation of that mechanism, e.g. some editor component, but does not have to cope with the visualization of every single data element as for that is taken care of automatically.