simultaneous multiple object detection and recognition. Used in
conjunction with a digital camera or other visual input device, the
algorithm in SentiSight 2.0 enables a computer or robot to "learn" 2D and
3D objects or a series of objects in a scene by extracting specific
features and object descriptors from different sides, distances and angles.
SentiSight then develops an object model that can be stored in a database.
Later, when presented with an image or scene from a live camera, still
image or video stream, the SentiSight algorithm can detect whether a
particular object is in the scene, identify where the object is located and
even count the number of objects in the scene.
While SentiSight 1.0 identified the point where a recognized object was
located, it provided little additional information about the object.
SentiSight 2.0 features the ability to identify and approximately outline
the region an object occupies in a scene, providing additional information
about the size, orientation and scale of the recognized object.
SentiSight 2.0 supports both Microsoft Windows and Linux operating
systems and gives developers complete control over SDK data input and
output, enabling the functions to be used with most cameras.
A new SentiSight 2.0 algorithm demo application is also available. This
completely new demo application provides a convenient user interface and
enables offline working mode in both the learning and recognition stages.
SentiSight 2.0 SDK is available now with highly competitive licensing
options from Neurotechnology and from partners and distributors worldwide.
A 30-day trial version with full functionality is also available for
download. For more information, please go to
http://www.neurotechnology.com.
About Neurotechnology
Neurotechnology is a provider of high-precision biometric fingerprint,
face and iris identification algorithms, object recognit
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SOURCE Neurotechnology Copyright©2008 PR Newswire. All rights reserved | |
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