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Neurotechnology SentiSight Object Recognition SDK

Neurotechnology SentiSight Object Recognition SDK

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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.

Advantages of SentiSight

  • Reliable| innovative algorithm that is tolerant of variation in appearance| object scale| rotation and pose.
  • Accurate detection| processing and tracking of objects in real-time.
  • Webcams or other low cost cameras are suitable for obtaining object images.
  • Available as multiplatform SDK that supports multiple programming languages.
  • Reasonable prices| flexible licensing and free customer support.

Technology and SDK

  • SentiSight's object learning and recognition process. In the learning phase| SentiSight algorithms extract specific object features from a video stream or single image and save them to an object model. Both manual and automatic object learning are available. Object recognition requires no user interaction apart from providing a video file where the object is present or pointing a camera to a scene where the object is presented or will appear.
  • SentiSight's algorithm and technology capabilities. SentiSight implements advanced visual-based object learning and recognition technology. It can be used for a wide range of tasks and includes two different algorithms for object recognition. Both algorithms perform simultaneous multiple object recognition| are able to utilize multi-core CPUs and are capable of real-time operation.
  • SentiSight 3.2 SDK. The SDK provides for the development of object recognition systems for Microsoft Windows or Linux platforms| and includes programming tutorials in several programming languages. A Device Manager library is included for simultaneous capture from multiple cameras.
  • System requirements. SentiSight requires a computer with x86 (32-bit) or x86-64 (64-bit) processor that supports SSE2. Best performance is achieved on systems with 64-bit processors that support the SSSE3 instruction set. Microsoft Windows and Linux are supported. A webcam or IP camera may be used for object image capture.
  • Technical specifications. SentiSight is able process a single frame in 0.014 seconds during object learning| and perform recognition at speeds of 160|000 - 290|000 object models per second when using the blob recognition algorithm without color usage mode on 320 x 240 pixel images.
  • Reliability and performance tests. The SentiSight algorithm was tested with images from the ALOI database. SentiSight's recognition rate is 98 % - 99 % for objects with well-defined internal structure| and 70 % - 99 % for other objects; image processing speed is dependent on image size| the algorithm used and number of threads available for matching.
  • Download. The SentiSight algorithm demo application| 30-day SDK Trial and technology presentation video are available for downloading. See Downloads Tab.

Licensing| prices and ordering

Licensing options. To develop a SentiSight-based product| an integrator should obtain the SentiSight 3.2 SDK. A license for a SentiSight installation is required for each PC or each server CPU that runs a SentiSight-based application. Single computer licenses and enterprise licenses are available.

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