Flowrigami is a free and open-source workflow editor, designed to visualize diverse workflows and configure them using graphic components. It works in two modes: View Mode and Edit Mode. A workflow consists of several nodes and connectors. Properties of nodes and connectors are defined by the user.
View Mode has:
Central working area, displaying the workflow itself and enabling users interaction with it.
Right area, displaying the properties of the selected node or connector.
Edit Mode has:
Left area with nodes and connectors library, allowing users to add new elements by dragging them from the library to central working area. This library can be customized by the user. The library contains different sets of objects defined for various diagram types (UML, BPMN, flowchart, etc.)
Central working area displaying the workflow itself and enabling users interaction with it.
Right area, displaying the properties of the selected node or connector and allowing a user to change these properties. Properties contain both visual ones and custom business properties defined by the user.
Flowrigami is configured for different diagram types: flowchart, BPMN, UML etc.
As component has both data format and settings format, the user can customize settings for his component online.

Add facial recognition and biometric identification features to your applications. FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, Objective C, VB, Java and Delphi developers implement fast and precise face recognition and identification in their applications. Working in 32-bit and 64-bit systems, FaceSDK is used to build Web, Windows, Linux, Mac OS X, iOS and Android applications, and enables face-based biometric authentication on still images and real-time video streams.

FaceSDK offers fast and precise face recognition and identification. Its consistent recognition rates in any lighting conditions and its ability to be used in conjunction with any webcam make FaceSDK a leader in biometric authentication systems. The SDK works with large and small still images, and offers true real-time support by recognizing and identifying faces in video streams. The innovative video recognition algorithms implement true motion-based video identification, automatically recognizing and tagging all faces encountered in a video stream with no prior enrolment required.

FaceSDK utilizes today’s multiple-core, multi-CPU computing to the limit. This and other performance optimizations lead to dramatically increased performance, allowing surefooted identification and recognition of 66 facial features in real time.

SDK is loaded with features and comes with a host of samples in a variety of programming languages, allowing Web and desktop developers implement advanced face recognition and identification tasks in a matter of minutes. SDK has been used by the entertainment industry and security specialists, software vendors, and developers of graphic suites to automate a variety of face identification and facial feature recognition tasks, including hands-free authentication and logon systems. Real-time biometric authentication systems can quickly and easily be built around FaceSDK. A variety of photo processing use FaceSDK as their face recognition engine.

Real-time biometric facial recognition and pedestrian or vehicle tracking in live video streams. Supports up to 10 IP cameras on one PC.
Available as SDK (software developing kit) for technology integration into small and large surveillance systems.

The proprietary technology provides automatic operation with multiple face detection, tracking, persons’ gender determination, enrollment and identification.

Can be used in law enforcement, security, attendance control, visitor counting, traffic monitoring solutions.
Some applications may require to enroll the users in advance (such as list of employees or watch-list of unwanted persons or suspect criminals), whereas other just work on the general public passing by (i.e. detect if passers-by draw attention to certain ads or billboards).

The SDK allows to create networked applications and systems with multiple cameras and data processing nodes on Windows and Linux platforms.
Includes programming samples in Java, .NET, C, as well as all necessary components (the biometric technology, camera support, network synchronization).

The trial requires constant Internet connection.

See also demo video at https://youtu.be/Jpt5jE5rwCQ