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SentiSight is
intended for developers who want to use computer vision-based object recognition
in their applications. It enables manual and fully automatic object learning,
and 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 allows the development of object
recognition systems for Microsoft Windows or Linux platforms.
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• Reliable innovative
algorithm, that is tolerant to appearance, object scale, rotation and
pose.
• Accurate object detection and processing 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.
• SentiSight
object learning and recognition processes. In the learning phase, SentiSight algorithms extract specific object features from
a video stream or single image and save them into what is known as an object's
model. Manual and automatic object learning are available. No user interaction
required for object recognition except providing a video file with the object or
pointing a camera to the scene ... Read
more
• SentiSight 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 capable of
real-time operation ... Read more
• SentiSight 3.0
SDK. The SDK allows the
development of object recognition systems for Microsoft Windows or Linux
platforms, and includes programming tutorials in several programming languages.
A Camera Manager library is included for simultaneous
capture from multiple cameras ... Read
more
• 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 SSSE3 instruction set. Microsoft
Windows and Linux are supported. A webcam or high-res camera may be used for
object images capture ... Read more
• Technical specifications. SentiSight is
able process a single frame in 0.03 seconds during object learning, and perform
recognition at speed of 13,000 - 48,000 object models per second when using
local features recognition algorithm on 320 x 240 pixels images ... Read more
• Reliability and performance tests. SentiSight algoritm was tested with images
from ALOI database. SentiSight recognition rate is 98%-99% for objects with
well defined internal structure, and 70%-99% for other objects; image
processing speed depends on image size, used algorithm and number of threads
for matching ...
Read
more
• Download. SentiSight algorithm demo application and SentiSight 30-day SDK Trial are available for downloading ...
Read more
• Licensing options. To develop a SentiSight-based product, an
integrator should obtain SentiSight 3.0 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 ... Read more
• Prices. SentiSight SDK costs ¢æ 339. Prices for additional
installation licenses depend on quantity ... Read more
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SentiSight related products
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• NVeiler Video Filter
– a plug-in for VirtualDub video processing application that is able to detect
and hide faces in videos; SentiSight algorithm is used for face tracking
feature of the plug-in.
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