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Top 10 challenges of using an external camera with Android device. E-con Systems with its strong foot hold in camera based products on multiple platforms, took up the design and development of external camera support on Android platform. e-con Systems has come up with a flagship product “Webeecam” on the Google play store market.

Top 10 challenges of using an external camera with Android device

Webeecam is loaded with technical features unlike most other USB camera applications available for free in the market. Webeecam differentiates itself in more than one ways and is targeted towards advanced and serious camera based product development users. With that said, getting it right as a first step needs understanding the very nature of challenges on the Android platform. This article describes the challenges and necessary steps to bring up an external Camera on Android device. Unlike a PC, were one can connect a USB camera and MOST of the times the streaming is hassle free, one needs to consider the following factors on an android platform/device for using an external USB camera: Haytham Gaze Tracker download.

About EyeComTec. EyeComTec Mission Statement Who are we?

About EyeComTec

We are EyeComTec (subdivision of LAZgroup SA) - a group of developers dedicated to creation of various Assistive technology software. Today we offer a wide range of products and services designed to enhance the lives of those with physical disabilities. Our mission is to create effective and affordable solutions for augmentative and alternative communication immediately available to people suffering from paralysis or significantly impaired mobility. Our Story Why the emphasis on affordability? We considered these factors as a challenge to our own abilities and knowledge. Today, EyeComTec is one of the industry’s foremost software providers for the paralyzed and physically impaired.

The concept of the EyeComTec stands apart from the vast majority of technologies, which are available in the modern market of augmentative and alternative communication solution, and various other data input interfaces. Our Software. The EyeHarp – Everybody should have access to playing music. The EyeWriter - All. The EyeWriter software is two parts — an eye-tracking software designed for use with our low-cost glasses, and a drawing software designed for drawing with eye movements.

The EyeWriter - All

The source code for the project is currently being hosted at: The software for both parts has been developed using openframeworks, a cross platform c++ library for creative development. In order to compile and develop the EyeWriter source code, you will need to download openframeworks (pre release v0.06). Documentation, setup guides and more information can be found at For more info on the EyeWriter software click here. Products – Charmed Labs. New!

Products – Charmed Labs

Pixy for LEGO Mindstorms Fast vision sensor for LEGO roboticsEasily “teach” Pixy objects to trackConnects directly to NXT or EV3 brick Pixy (CMUcam5) Fast vision sensor for roboticsEasily “teach” Pixy objects to trackConnects directly to Arduino. Réseau de neurones artificiels. Un article de Wikipédia, l'encyclopédie libre.

Réseau de neurones artificiels

Un réseau de neurones artificiels, ou réseau neuronal artificiel, est un ensemble d'algorithmes dont la conception est à l'origine très schématiquement inspirée du fonctionnement des neurones biologiques, et qui par la suite s'est rapproché des méthodes statistiques[1]. Les réseaux de neurones sont généralement optimisés par des méthodes d’apprentissage de type probabiliste, en particulier bayésien. Document. Comment fabriquer un système d'eye-tracking pour pas cher. Webcam Eye Tracker – PyGaze. Building your own eye tracker for dirt cheap.

Webcam Eye Tracker – PyGaze

How hard can it be? Turns out the basics are surprisingly simple! On this page, I’ll try to keep you posted on how the project advances. If you want to play around with the source code, feel free to grab if off GitHub. Filtre de Canny. Un article de Wikipédia, l'encyclopédie libre.

Filtre de Canny

Image résultante de l'application du filtre de Canny. Canny edge detector - Wikipedia. The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images.

Canny edge detector - Wikipedia

It was developed by John F. Canny in 1986. Canny also produced a computational theory of edge detection explaining why the technique works. The Canny edge detector applied to a colour photograph of a steam engine. The original image. Edge detection - Wikipedia. Motivations[edit] Canny edge detection applied to a photograph The purpose of detecting sharp changes in image brightness is to capture important events and changes in properties of the world.

Edge detection - Wikipedia

Histogramme de gradient orienté. Un article de Wikipédia, l'encyclopédie libre.

Histogramme de gradient orienté

Canny edge detector demos. There are some results of applying Canny edge detector to real image (The black and white image "lena.gif" we used here was obtained by translating from a color lena.tiff using matlab. So it might not be the standard BW "lena".) The thresholding parameter alfa is fix as 0.1. The size of the filters is also fixed as 10*10. These images are all gray images though they might seem a little strange in your browser. To see them more clearly, just click these images and you will find the difference especially from the "result images", that is, the titled "after thinning" ones.

The results of choosing the standard deviation sigma of the edge detectors as 3. The results of choosing the standard deviation sigma of the edge detectors as 1. Hough transform circle. Fuzzy difference-of-Gaussian–based iris recognition method for noisy iris images. Iris recognition is used for information security with a high confidence level because it shows outstanding recognition accuracy by using human iris patterns with high degrees of freedom. However, iris recognition accuracy can be reduced by noisy iris images with optical and motion blurring. We propose a new iris recognition method based on the fuzzy difference-of-Gaussian (DOG) for noisy iris images. This study is novel in three ways compared to previous works: (1) The proposed method extracts iris feature values using the DOG method, which is robust to local variations of illumination and shows fine texture information, including various frequency components. (2) When determining iris binary codes, image noises that cause the quantization error of the feature values are reduced with the fuzzy membership function. (3) The optimal parameters of the DOG filter and the fuzzy membership function are determined in terms of iris recognition accuracy.

A New Technique for Iris Localization in Iris Recognition Systems. The use of biometric systems has been increasingly encouraged by both government and private entities in order to replace or improve traditional security systems. The identification systems using unique factors of human irises play an important role in this field. Image Processing Algorithms - Dreamland Fantasy Studios. Visage Technologies - Face Tracking and Analysis. Simple, accurate eye center tracking in OpenCV - Tristan Hume. I am currently working on writing an open source gaze tracker in OpenCV that requires only a webcam.

One of the things necessary for any gaze tracker is accurate tracking of the eye center. For my gaze tracker I had the following constraints: - Must work on low resolution images. - Must be able to run in real time. - I must be able to implement it with only high school level math knowledge. - Must be accurate enough to be used for gaze tracking. I came across a paper by Fabian Timm that details an algorithm that fit all of my criteria. It uses image gradients and dot products to create a function that theoretically is at a maximum at the center of the image’s most prominent circle. TiBa11b. La rééducation des yeux grâce aux jeux thérapeutiques.

Lauréat du 18ème appel à Projets FUI et labellisé par Cap Digital, le Projet VISIONUM va doter les orthoptistes et les ophtalmologistes d’outils de rééducation numérique. Simple, accurate eye center tracking in OpenCV - Tristan Hume. I am currently working on writing an open source gaze tracker in OpenCV that requires only a webcam. One of the things necessary for any gaze tracker is accurate tracking of the eye center.

For my gaze tracker I had the following constraints: - Must work on low resolution images. - Must be able to run in real time. - I must be able to implement it with only high school level math knowledge. - Must be accurate enough to be used for gaze tracking. I came across a paper by Fabian Timm that details an algorithm that fit all of my criteria. It uses image gradients and dot products to create a function that theoretically is at a maximum at the center of the image’s most prominent circle. Here is a video he made of his algorithm in action: Before continuing I recommend that you read his paper.

After implementing the algorithm detailed in the paper using OpenCV functions my implementation had horrendous accuracy and many problems. I contacted Dr. The Gradient Algorithm #Conclusion Dr. Les LED, pas si inoffensives que ça... Youmaran adler QBSC2008 IR face tracking. Effect of infrared radiation on the lens.