Projects Archive

This project won an award in Technion's Innovation Contest 2006

Voice recognition is a major problem nowadays. Until now this problem wasn't solved completely. We will try to approach this problem in a new way using neural networks. The reason stems from the fact that voice recognition is done perfectly by human brain

Power consumption has become one of the biggest challenges in high performance microprocessor design. The rapid increase in the complexity and speed of each CPU generation is outstripping the benefits of voltage reduction and feature size scaling

String matching is a comprehensive and effective applicable key technology beyond Intrusion Detection Systems (IDS). These applications are usually deployed at choke points of a network where there is heavily traffic. Many areas can benefit from a faster string matching algorithm

In this project, a new model for a voice recognition system is suggested. The model is based on a realistic model of neural networks, and it integrates principles from the theories of chaotic systems and Liquid State Machine

Many accidents happen as a result of problematic field of view in a junction with no traffic lights. The aim of this project was to develop an application that calculates the velocity of vehicles entering a junction and to warn the crossing vehicles if they may be in danger

Form processing is a process whereby information entered into data fields is converted into electronic form: 1. Entered data are ""captured"" from their respective fields. 2. Forms themselves are digitized and saved as images.

Most solutions problems such as the automatic traffic light for pedestrians requires object detection and tracking algorithms. In this work detection is made on a gray level images. The SUSAN algorithm give a good answer for the distinction of the pedestrians from their surroundings

In the framework of developing a control system for a parking-lot, it is important to know the number of vehicles parking in the different areas of the lot. In addition, it is important to identify "sneaking" vehicles: those entering the parking lot when the barrier is already open

Short-range images acquired using a regular camera usually contain objects that are focused but also blurry objects due to the physical limitations of the lens and imaging system. In this project, we investigate methods and techniques of restoring a defocused image

Hardware that recognize speech signals from finite vocabulary has a few uses today e.g. automatic dialing from a cell phone, recognizing the name of extension holder in calls routing system and it also can be used for some different needs in robotic systems

In the field of medical imaging, it is often necessary to reduce a three dimensional surface to a two dimensional one, in order to enable doctors to print and examine planar medical images. For obvious medical reasons, such a transformation should not distort the data in the image

Ultrasound image processing is a vast, complicated field, which involves coping with a large variety of problems. In this project, an attempt was made to quantify the homogeneity level of the texture presented in an ultrasound image. To achieve this, different tools were checked

This project addresses the application of a geometric multiscale framework Blind Source Separation (BSS) on Magnetic Resonance Imaging (MRI). The motivation for such application emerges from the major presence of MRI signal originated from water and fat molecules

Several magnetic resonance (MR) methods have been suggested recently as having potential for prediction of tumor response to treatment. Contrast-enhanced MRI has been shown to be able to reveal distinct tumor patterns that can serve as a predictor of response to chemotherapy

When driving, recognizing the road signs is crucial for safely reaching one's destination. An automatic system that alerts the driver about road signs may be helpful and might help save lives

Many neurological diseases, including Parkinson Disease (PD), affect the patient's gait. In this project, we checked the possibility of using person's gait in order to classify him as a patient in PD, or as a healthy person

In the project, we tried to achieve collaboration between the electrical engineering faculty and the faculty of biology, by combining methods of electrical engineering with the knowledge of biology. The goal was to combine engineering techniques with biological studies. The assumption

In this project we intend to examine the influence of music (of different kinds) on new-born babies. We performed a frequency signal analysis using a spectrogram that presents the connection between the signal in time, its spectra and its intensity

The purpose of this project was to examine whether and how emotions have influence on physiological signals and to develop a method to classify certain emotions by a set of such signals.

In this project, we checked the possibility of using "biological' features, which bears resemblance to the visual preprocessing pathways and Biological Neural Networks to analyze the complex multi-dimensional features for purposes of data recognition and classification

Abstract Speech Recognition has been around for decades and, slowly but surely, has integrated itself into a number of applications including: cellular phones, computer interfaces, military intelligence and much, much more. Many tools have been developed with which to analyze speech a