Algorithm Provides Enhanced Recognition Capabilities for Use in a Wide Range of Robotics, Artificial Intelligence and Computer Vision Applications
VILNIUS, Lithuania, Sept. 10 /PRNewswire/ -- Neurotechnology (http://www.neurotechnology.com), a provider of high-precision biometric and object identification technologies, today announced the availability of SentiSight 2.0 SDK universal object recognition technology for the development of robotics, artificial intelligence and computer-based vision applications. The SentiSight 2.0 algorithm provides significantly enhanced 2D and 3D object recognition quality using still or video images from most digital cameras, including Webcams. Among the new features in SentiSight 2.0 are the ability to find and count the number of objects in a scene and the ability to compare and identify pictures even when the perspective has changed. The algorithm is tolerant to scale, rotation and pose under a variety of image conditions, providing the versatility required for a wide range of computer and machine vision applications, from manufacturing and security systems to Web-based image search engines. Because SentiSight can process video streams in real time, it is suitable for use in autonomous robot navigation, assembly line parts recognition and other applications that require fast and accurate real-time identification.
"Our AI and Robotics Division focused a significant amount of effort over the past year to develop an even more versatile and capable object recognition algorithm for our SentiSight 2.0 SDK," said Denis Kochetkov, SentiSight project leader for Neurotechnology. "SentiSight 2.0 continues the tradition we have built with our biometric identification technologies over the past 18 years: providing products of high quality and reliability with cost-effective pricing."
SentiSight 2.0 enables fully automatic and manual object learning as
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