Sophisticated Algorithm Provides Versatile and Accurate Recognition Using Still or Video Images from a Wide Variety of Cameras Vilnius, Lithuania - June 4, 2007 - Neurotechnologija, a company widely recognized for their high-precision biometric identification technologies, today announced their entry into the AI and Robotics market with the introduction of the new SentiSight Software Development Kit (SDK) object recognition technology. This technology will be using in AI product and intelligence robots. Designed for the development of computer-based vision systems, the SentiSight algorithm provides versatile, fast and accurate 2D and 3D object recognition for use in a wide variety of applications, including image search engines, security systems, manufacturing and robot and machine vision. SentiSight object recognition technology is tolerant to object scale, rotation and pose and works with still and video images from most digital cameras, including Webcams. It can process video streams in real time, enabling its use in real-time applications such as autonomous robot navigation, parts identification on an assembly line or road sign recognition in a moving vehicle.
SentiSight SDK enables fully automatic and manual object learning as well as simultaneous multiple object detection and recognition. Using a live camera, series of still images or video, SentiSight first learns an object by extracting specific features or descriptors of the object from different sides, distances from the camera and angles of view. This enables SentiSight to develop a 2D or 3D object model that can be stored (e.g. in a database). When that same object is later presented in a photograph, video, on the Web or from a real-time live video camera, the SentiSight algorithm compares the new images to the existing object model, recognizes the object and outputs the object's name and coordinates.
http://www.neurotechnologija.com/sentisight.html.
SentiSight SDK enables fully automatic and manual object learning as well as simultaneous multiple object detection and recognition. Using a live camera, series of still images or video, SentiSight first learns an object by extracting specific features or descriptors of the object from different sides, distances from the camera and angles of view. This enables SentiSight to develop a 2D or 3D object model that can be stored (e.g. in a database). When that same object is later presented in a photograph, video, on the Web or from a real-time live video camera, the SentiSight algorithm compares the new images to the existing object model, recognizes the object and outputs the object's name and coordinates.
http://www.neurotechnologija.com/sentisight.html.
2 comments:
let's go and download the software to pratice this technology!!
is it only for object like cup or toys only?? is this useful i wonder
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