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openmsr is a collection of tools around Instrumentation,Control and Automation ( ICA ). It runs under the following OS: Windows, Linux and Mac OSX. Ther are tools like digital simulation, object recognition, SoftPLC. Tools Messen,Steuern und Regeln
This is ANN trained application to predict digits from 0 - 9.
It can predict digits from 0-9 with Artificial Neural Network. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with Neural Network. It may predict wrong digit due to very low sample data but it work 90% correctly.
Note: JRE 1.6 is required to run this application.
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- Microchip's XC18 used for the initial coding.
Long term objective:
In the future, a ARD platform may be added, to implement more sophisticated pilot, sensors (camera, image recognition, etc).
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This project is to share my work in visual recognition of gestures. It shows how I have implemented person detection, color adaptation and tracking of the user's right-hand, gesture feature extraction, etc. using a single videocamera.
NXTCamView is a Windows app that configures and controls the NXTCam camera sensor for Lego NXT. NXTCam (by mindsensors.com) provides real-time vision recognition to NXT robots. NXTCam is based on AVRCam and AVRCamView by John Orlando and Brent Taylor.
The Mimas Toolkit is a C++ real-time computer vision library. Algorithms include edge/corner-detection, object recognition/tracking, LSI-filters, segmentation, array-operators, convolution etc. OO wrappers for LAPACK, libxine, V4L, FFTW are provided.
TSSBank is written in c#(.Net 2.0).The main aimed group is the disabled persons.This component outputs voice & textual outputs (with value/words)plus experimental Voice Recognition (VR) system that identifies more then 80% accurately with out training.
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A Multimodal approach to control a Unmanned Aerial Vehicle
...During this project we use a simulated QuadRotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize capabilities of some devices available today such as Android Phones and Microsoft Kinect. Using a windows appliacation called MMUAVC Fusion App, this system gathers all data from sensors and issues control commands for the QuadRotor