MegaMatcher 9.0

We would like to inform about the release of the MegaMatcher 9.0 line of biometric software development kits. The release includes:

♦ New VeriLook 9.0 facial recognition algorithm. The algorithm provides five times higher accuracy in identifying full frontal faces and 10 to 15 times higher accuracy for unconstrained facial recognition, which makes it suitable for conducting automated facial image searches in large databases without the need for manual review. The faster face detection and more accurate estimation of facial attributes, including gender, smile, closed eyes, open mouth, glasses and dark glasses are also included. The algorithm is also included in MegaMatcher 9.0 SDK and MegaMatcher Accelerator 9.0.
♦ New Face Verification component for easy integration into secure authentication applications such as mobile banking is included in the VeriLook 9.0 SDK and MegaMatcher 9.0 SDK.
♦ Enhanced VeriEye 9.0 iris algorithm. The algorithm improves extraction speed and iris segmentation quality. Also, it can accurately detect eyelids and can be used to locate irises in images that are captured in both the near-infrared range and in visible light, even with regular smartphones. The iris image quality estimation is adapted to the newer ISO/IEC 29794-6:2015 standard. The algorithm is also included in MegaMatcher 9.0 SDK and MegaMatcher Accelerator 9.0.
♦ The VeriFinger 9.0 and VeriSpeak 9.0 SDKs feature general SDK updates.
♦ The unified version numbering for the biometric SDKs is introduced to provide customers with more clear understanding and usage of different Neurotechnology biometric products. The MegaMatcher family biometric products, including the single biometrics SDKs, now have the same version number as the MegaMatcher 9.0 SDK.

As with all Neurotechnology products, the latest versions are available as free upgrade for existing customers.

Fingerprint SDKs

About fingerprint identification
Human fingerprints are unique to each person and can be regarded as a sort of signature, certifying the person's identity. Because no two fingerprints are exactly alike, the process of identifying a fingerprint involves comparing the ridges and impressions on one fingerprint to those of another.
This first involves capturing the likeness of the fingerprint, either through use of a fingerprint scanner (which takes a digital picture of a live fingerprint), scanning a pre-existing paper-based fingerprint image or by pulling what is known as a "latent fingerprint" from a crime scene or other place of investigation, from which a digital image is created.
Once the fingerprint image is captured, the process of identification involves the use of complex algorithms (mathematical equations) to compare the specific features of that fingerprint to the specific features of one or more fingerprint images that have been previously stored in a database.

Overview
Free Fingerprint Verification software development kit is a freeware SDK designed for adding fingerprint verification functionality into various applications. The SDK is most suitable for developing biometric logon applications, but it can be used also for any other application that do not require to store more than 10 fingerprints.
The Free Fingerprint Verification SDK functionality is based on a simplified version of VeriFinger algorithm. The SDK allows reading fingerprints from scanners and performing fingerprint verification (1:1 matching) only. Quality control can be applied to accept only good quality fingerprints from fingerprint scanners.
The Free Fingerprint Verifications SDK supports Microsoft Windows 2000, XP, Vista and 7 operating systems for 32-bit processors.

NCheck Bio Attendance
Fingerprint & face biometrics for attendance management
NCheck Bio Attendance is an end-user biometric system designed to automate attendance control. The system may be used in a wide range of business applications, from employee time tracking to check-in at events, clubs, clinics, public and commercial facilities.
The NCheck software uses biometric fingerprint and facial identification to track the time of each user presence, automatically calculates summary time for each user and generates printable reports. The software is designed for installation on a desktop computer or laptop (PC) that is running under Microsoft Windows. Also, NCheck can be used on Android-based smartphones, tablets or other embedded/mobile devices.

NVeiler Video Filter
Plug-in for VirtualDub that hides faces and objects
The NVeiler Video Filter is a plug-in for VirtualDub video processing software. The plug-in automatically detects faces in a frame and hides them by using pixelation effect. Also it is capable to track the moving faces in subsequent frames and hide them, as well as detect new faces without user intervention.
Users can choose to hide selected faces or parts of the faces, as well as use the plug-in for hiding other objects.

NPointer
Gesture- and voice-based computer control
NPointer is an application for gestural and voice computer control. Hand movements are recorded by a webcam and translated into pointer movements. The application accepts gestures or voice commands to emulate the actions that are usually performed with a regular mouse or a touchpad: clicks, double-clicks, drags and scrolls. Also, disabled people may use head movements to control the computer.
The NPointer is freeware and runs on a PC or laptop with Microsoft Windows.

COMPUTER VISION & A.I.

Robotics kit

SentiBotics

Ready-to-use robotics development kit

SentiBotics development kit is a ready-to-use robotic kit designed to provide a starting point for researchers and developers, who would like to focus on robot development. SentiBotics can be used as an educational platform at universities. The kit includes a mobile autonomous robot with a manipulator, ROS-based development kit and full source code of all algorithms used in the robot software.
The robotic hardware requires only simple assembly and setup to start using it. The robot is able to perform navigation in a common environment, recognizes 3D objects, can grasp them and manipulate with them. The development kit includes 3D models of the robot and a number of programming samples for the mentioned actions.

Surveillance SDK

SentiVeillance SDK
Face identification and movement detection
SentiVeillance SDK is designed for developing software that performs biometric face identification and detects moving pedestrians or vehicles or other objects using live video streams from high-resolution digital surveillance cameras. The SDK is used for passive identification – when passers-by do not make any efforts to be recognized. List of possible uses includes law enforcement, security, attendance control, visitor counting, traffic monitoring and other commercial applications.
The SentiVeillance SDK allows to create applications for Microsoft Windows and Linux platforms.

Object recognition SDKs

SentiSight SDK
Object recognition for robotics and computer vision
SentiSight is intended for developers who want to use computer vision-based object recognition in their applications. Through manual or fully automatic object learning it enables searching for learned objects in images from almost any camera, webcam, still picture or live video in an easy, yet versatile, way.
SentiSight is available as a software development kit that provides for the development of object recognition systems for Microsoft Windows or Linux platforms.

SentiSight Embedded SDK
Object recognition for moble computer vision applications
SentiSight Embedded is designed for developers who want to use computer vision-based object recognition in their applications for smartphones, tablets and other mobile devices. Through manual or fully automatic object learning it enables searching for learned objects in images or videos from built-in cameras with PC-like accuracy.
SentiSight Embedded is available as a software development kit that provides for the development of object recognition applications for the devices that are running Android OS.

3D reconstruction SDK

SentiSculpt SDK
3D object models creation from regular images
SentiSculpt is designed for software developers who want to use computer vision-based 3D object model reconstruction from images in their applications. Object models are created automatically from sets of photos, which were captured from different angles using regular cameras.
SentiSculpt is available as a software development kit that provides for the development of 3D object model creation systems for Microsoft Windows.

Gaze tracking SDK

SentiGaze SDK
Real-time eye movement tracking using webcam and PC
SentiGaze is designed for developers who want to use computer vision-based gaze tracking in their applications. The technology works with webcam and common PC. Usage convenience is ensured by contactless gaze tracking and calibration to specific screen size and user position.
SentiGaze is available as a software development kit that provides for the development of gaze tracking systems for Microsoft Windows.