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The present invention is an application for Android platform that recognizes Jakim’s Halal logo and acknowledge users whether certain logo is Jakim’s Halal logo or not using embedded system technology, real-time processing, computer vision, pattern recognition, and machine learning algorithm just by taking the picture of any Halal logo.
The Vision Analysis Toolkit provides a framework for the development of computer vision algorithms using arbitrary named channel containers, flexible data types, and 1/2/3-D buffers.
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Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2).
Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information).
The files contained in this distribution implement a computer vision system for the classification and interpretation of flag semaphore signals. Optionally, the message can be used to send and receive TCP/IP packets using the RFC 4824 protocol.
A system for playing chess with a computer player using a real chess board. An experiment in learning the techniques of Computer Vision and having fun in the process.
Diglo is a Music Information Retrieval System based on Computer Vision and Audio Spectrum Analysis, using algorithmic operations to find emergent patterns in musical performance. Also it functions as a low-cost Motion Capture Analysis system.
This Java native library wraps OpenCV (Computer Vision Lib.) function cvMatchTemplate and implements methods for utilities result visualization. It allows efficient images template matching using Normalized Cross-Correlation (NCC) and others algorithms.
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Computer Vision Software designed for AttyTheWalker, a made from scratch hexapod robot.
Entirely developed in C language for GNU/Linux platforms it's the best way to move the robot using a personal computer with RS-232 serial communication.
this is a project for the computer vision class. We intend to track multi-targets while preserving the identity of the targets. We propose to represent this as a Flow optimization problem and solve it using K-shortest path algorithm.
The project is aimed at automatic target following using a camera , a computer vision system and a microcontroller that moves the cam. The project should mainly work under linux and it might be ported into windows,
ViKi (Virtual Interactive keyboard Interface) is a global framework that enables contactless human machine interaction using computer vision techniques.
Only a simple webcam is sufficient to emulate traditional devices such as mouse and keyboard do.