The MCN FRS SDK allows third-party developers to implement our advanced facial biometric technology within their own security applications. The SDK provides tracking, enrollment, verification, classification, database, communication, and multimedia controls. It is also accompanied by demo applications with sample enrollment, verification, and classification application source code written in Visual C++.
The SDK uses Distributed Component Object Model (DCOM) technology to provide real-time face tracking, and face recognition that can be implemented in a stand-alone configuration, or within 3-tier architectures (FRS client/FRS server/central database). The SDK also provides support for LAN, WAN or Web-based communication between the FRS server, the central database server, and up to 4000 FRS clients.
Advanced utilities provide automated and/or manual synchronization of clients with the central database. Client machines can perform all functions (face tracking, verification, identification and enrollment) while disconnected from the FRS server and central database. Data synchronization occurs automatically upon reconnection of the client to the FRS network.
The MCN FRS SDK allows third-party developers to implement our advanced facial biometric technology within their own security applications. The SDK provides tracking, enrollment, verification, classification, database, communication, and multimedia controls. It is also accompanied by demo applications with sample enrollment, verification, and classification application source code written in Visual C++.
The SDK uses Distributed Component Object Model (DCOM) technology to provide real-time face tracking, and face recognition that can be implemented in a stand-alone configuration, or within 3-tier architectures (FRS client/FRS server/central database). The SDK also provides support for LAN, WAN or Web-based communication between the FRS server, the central database server, and up to 4000 FRS clients.
Advanced utilities provide automated and/or manual synchronization of clients with the central database. Client machines can perform all functions (face tracking, verification, identification and enrollment) while disconnected from the FRS server and central database. Data synchronization occurs automatically upon reconnection of the client to the FRS network.
The MCN FRS SDK contains face finding and face recognition technologies designed for use in one-to-one verification scenarios, such as access control or time and attendance, and one-to-many identification scenarios, such as identifying people in a crowd.
The MCN FRS SDK technology supersedes technology found within all other face recognition vendors. Contains high level DCOM objects for real-time face tracking (30 FPS for up to 16 people simultaneously), face recognition, multimedia (video and static image) control, operating from stand-alone configurations up to three-tier FRS client/FRS server/database or web server architectures. Our system supports up to 4000 client installations and millions of enrolled users.
Advanced utilities provide automated or manually synchronization of clients with the central database server. Client machines can perform all functions (face tracking, verification, identification and enrollment) while disconnected from the central database or FRS server. Data synchronization occurs automatically upon reconnection of the client to the existing FRS installation. Compatibility with Windows CE provides support for mobile and wireless biometric applications. All technology is encapsulated as DCOM modules operating from standard ATL interface for compatibility with Microsoft Visual C++, Microsoft Visual Basic, Borland Delphi and most other Windows application development environments.
MCN Multimedia Control: a DCOM support for image display/overlay using the latest DirectX 8.1 drivers and import of static images in most standard formats.
MCN Enrollment Control: enroll a person from video or static images (JPEG, BMP, etc.) and create a database of facial biometric templates for later use in verification (one-to-one identification). The system allows the user to store enrolled images for later retrieval.
MCN Verification Control: finds faces within video input or static images (JPEG, BMP, etc.), and verifies them against a database of facial biometric templates. MCN Classification Control: finds faces within video input or static images (JPEG, BMP, etc.), and generates a list of closest matches against a database of facial biometric templates. The classification operation (One-to-many identification) is performed against 25,000 individuals/second. MCN Tracking Control: finds and tracks faces within video input, and tracks up to 16 individuals simultaneously at full 30 Frames Per Second. Provides control for P/Z/T for auto scanning systems, tracking of intruders, etc.
MCN Database Control: provides all interfaces necessary to add. delete, and retrieve biometric templates, images and users from the central database. Provides the ability to import/export users and related information between separate installations of the FRS system. MCN Communication Control: provides support for LAN, WAN or web-based communication between FRS server and central database server and up to 4000 FRS clients.
Demo Applications: example enrollment, verification and classification application source code written in VC++.
System Requirements:
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