Projects Archive

Recently there is an increase in number of cases of parents that forget their child in hot cars. In every ten days a child dies from vehicular heatstroke and since 1998 there have been 575 deaths in the United States alone. In those years 160 cases of children being forgotten in cars

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

Satellite imagery is a wide spreading tool both for military and civil purposes. Embedding an automated road recognition tool within the photograph analysis phase can effectively aid the image handling, save time and human resources

In this project autonomous agents controlled by feed forward neural networks were trained using evolutionary algorithms to perform simple tasks such as navigation and foraging. The emphasis was on understanding the behavior of the evolved agents

The main goal of this project is to analyze the significance of the edge of chaos for real time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We want to examine whether the edge of chaos predicts well those values

This project researches object recognition and classification using neural networks. Different sets of pictures (such as airplanes, ships, faces etc) form a database. Using this database of pictures, we investigated how we can harness an LSM's computational power

One of the main fields in the area of Intelligent Transportation Systems is driving assistance systems designed to give the driver as much information as possible. Part of the vital information needed by the driver is an estimation of his distance from the other vehicles

Every day, people cross roads, on their way to work, home or other places. Some crossroads are placed at dangerous sites where the driver can't see the crossroad from safe distance. When he finally notices a pedestrian, there isn't enough time to stop the car safely

In this project, an application was built for marking eyelids in eye images from an IR video camera. The application shall be used in order to manually build a data base of marked eye lids. This data base shall be used as "ground truth" data for comparing and testing automatic

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

In this unique project we have tried to study the influence of music upon infants – newborns . We have tested the EEG signals from the babies mind while listening to a variety of musical pieces

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

This project deals with Road Lane Detection. Lane detection is a difficult problem because of the varying road conditions that one can encounter while driving.

Our main objective in this project was to investigate the abilities of a simple neural network to control arm movements. A neural network was chosen for this task because inside our brain, motor cortex networks control voluntary movements. In our research we hope to find a true model

The control and activation system in any biological system is consisted from many neural cells (also named neurons). These cells are connected together as a complex network that conducts electrical currents in the form of charged Ions.

In this project, we checked the possibility of predicting stock prices using current affair events, which is expressed by words’ commonness in internet blogs and forums. It is known that there is a strong bond between current affair events and stock prices

When taking a picture there is a blur and an additive noise that derives from aspects of the camera. These flaws are often preventing us from detecting small yet important details in certain pictures. In this project we will try to improve the resolution of “Printed Circuit Board”

The accelerated technological development of the last decades has resulted in widespread use of the projector in lectures at conferences, higher education institutions and schools (smart classrooms). Any person who gave a lecture or presentation noticed the glare of the projector.

Tracking algorithms-Tracking an hand-held camera by estimating it’s pose in a small Workspace environment. There are two main approaches:..

Whiteboard is an Android App designed for new generation students. It allows the student to take images of white board during class and convert them into a PDF file which contains all of which was written on the class board by the teacher.

Link to project page

The problem of gaze detection has received a huge amount of attention in the past decade. Wide variety of commercial products are already available in the market, whether in “human like” robot interaction systems, car driver safety applications or even smart phone applications.

Real time application which recognizes license plates from cars at a gate, for example at the entrance of a parking area.

Comparison of skeleton tracking and point cloud segmentation algorithms.

Algorithms for lane detection were developed for a special night-vision camera.

Our project implements a handwriting recognition system. Our system is made of a hierarchical multiclass SVM based classifier which tries to classify each of the input letters by itself. And a dictionary comparison system which checks classified words against a dictionary file to see

In this project, we developed and algorithm for recognition and identification of pedestrian traffic lights. Our method could be implemented in smart glasses for blind pedestrians, helping them to navigate safely in urban traffic.

The area of Digital Terrain Model matching has been neglected for the last decade. Not many have tried to deal with this interesting and practical problem. The project is based on the work of J.J. Rodriguez and J.K. Aggarwal in 1990

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

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

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.

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

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

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

4 robots are playing a soccer game, the robots are autonomously controlled, the data is transmitted by RF to the robots, the data is received from a overhead camera. The system includes an overhead camera, PC computer, 4 robots and RF transmitters

The final goal of this project was to develop an autonomous vehicle that uses a small camera and a Pocket PC computer to track and follow a walking person. In our work we dealt with finding a suitable algorithm for this mission. Several possible algorithms were examined theoretically

Music influence on people was noticed long time ago. Psychologists look for visual and behavioral effects to explain music influence. Our work is one of the first that tries to view the topic from engineering side, find influence on physiological signals

The most common way of giving commands to your computer is, for today, the keyboard. This way keeps your hands constantly working whenever you want to communicate with your PC. A speech-recognizing computer will have several advantages over the traditional one

The MRI images at the focus of this project are of the brain's axial slices. The brain mostly contains two types of substances: water and fat. An examination of the properties of MRI images reveals that the images of the brain are a linear combination of the images

Animal behavior can be researched and classified to detect future events of nature. The most common example is of animal behaving different than usual before an earthquake. This project proposes an automatic system of tracking of fish, as a first stage to classify its behavior

The detection of man made objects in images is a complex problem in the image processing area which has many applications. There are many different approaches to face the problem. In this project, we will present an algorithm based on multi-channel filtering using Gabor filters

Biological neural networks as non-linear systems with numerous degrees of freedom have high tendency for chaotic behavior. Utilizing the high computational power of such networks requires thorough understanding of their dynamics

The purpose of this project is to enable face recognition from one 2D image when there already exists a database of canonical images – one per subject. We chose to start from the EigenFaces algorithm. We proposed that in order that the EigenFaces algorithm could recognize the test ima

This project is theoretical research and consists of two parts: The first one is intended to investigate and analyze neural networks signal propagation with mathematical and experimental examination of neural networks pathways as a function of the environment and network

Recognition of motor vehicles has many uses, for example in law reinforcement, security, control of traffic. The purpose of the project is to create a system that is capable of identifying license plates in moving vehicles. The system, which was developed using Matlab, receives a vide

The objective of this project was to create an automated vehicle, which navigates according to both a route and traffic signs

The need for smarter and better security solutions has increased dramatically in the last several years following the wave of global terrorism and rising crime. Many of the existing solutions are based on cameras monitored by a human operator, which is prone to making mistakes

How many times have you entered a web page in the Internet, but instead of easily read the page content, annoying advertisements drew away your attention?

In recent years, considerable effort has been directed toward the identification of neural structures and mechanisms responsible for rewarding adaptive behaviors. The behavioral concept of reward is believed to be correlated with neural processes

Security Cameras are widely used these days: Stores, clubs, hotels, kinder gardens, train stations and many more use them in order to better guard their property

This paper proposes a video based method of driver drowsiness detection using a SVM classifier. The SVM classifier uses several physiological features extracted from the video input. The features are extracted using rudimentary image processing techniques

This project won the Distiguished Project Award of VISL 2005

The liquid state machine (LSM) is a mathematical model of a "liquid computer". A LSM consists of some liquid which transforms the input time series u(t) into "liquid states" x(t). A memory-less readout function f maps the "liquid state" x(t) at time t into the output v(t)=f(x(t))

Biological neural networks are the basic foundation to the great computational ability of the brain. Every biological unit contains neuron & synapses nets. The assumption is that if we will succeed in reflecting precisely the neural network in a computational model

The goal of this project is developing an automatic image processing algorithm that enables scanning digital satellite images and recognizing artificial (man-made) objects in them (buildings' clusters, e.g.).

Speech Recognition project was developed as a specified tool for handling computers applications. Speech Recognition fulfills various aspects in our lives that we cannot imagine, Such as applications for the impaired hearing, voice dialing and voice to text (V2T) applications

A license plate recognition system is an automatic system that is able to recognize a license plate number, extracted from a video device. Such a system is useful in many fields and places: parking lots, private and public entrances, border control, theft and vandalism control

The purpose of the project is to help understanding the adaptation of the brain to changes in its visual input. We wish to measure how fast the brain adapts to such changes, and how fast it adapts to the cancellation of these changes and the returning of the input to be as before

This project presents a procedure for conversion of scanned documents to a digital format (text file), available for use on every personal computer. The conversion preserves the original document structure, including the lines, words and basic punctuation

The security demands are increasing nowdays and finding useful trustful algorithms to prevent/identify unwelcomed visitors is very important. Iris Recognition is one of those methods. It based on the fact that every eye has a unique characteristics (in its Iris)

One of the most developing areas in Engineering which utilizes the extensive research in medicine is the Biomedical Engineering. This area seeks to improve our everyday life by applying engineering and medical knowledge together with the growing power of computers

Action potential propagation through the heart generates electrical currents thet can be detected at the surface of the body. A recrding of these electrical changes is called ECG Analyse of ECG provides us with information in variety of domains

This project won the Distiguished Project Award of VISL 2005

This project won the Distiguished Project Award of VISL 2005

This project won the Distiguished Project Award of VISL 2005

This project deals with Automatic Detection of Commercials Blocks. One of the most frustrating problems a TV viewer has to deal with is the vast number of commercials interrupting the continuity of the program. Therefore, the viewer needs a tool, which will make his TV time much more

The objective of this project is to try and manipulate the ECG signals that we have in order to achieve an easy way for identifying heart disease. A prominent and fatal heart disease is called Myocardial Infraction, more commonly known as “Heart Attack”

The goal of our project is to provide a program written in Visual C++ working environment that would help proving the theory behind the project. The theory suggestes that one can improve the performance of maintaining different rhythms of drumming or repeated movements by using a visu

PSPL distinguished project 2004

The EP (Evoked Potential) Lab in the Technion is measuring and analyzing EEG signals. the Data is gathered from 21 different points along the scalp, into a big old data matrix.

The Problem Wavy Surface cause problems such as: Blurred image and Reflections of light from the water surface. In addition it is not trivial to detect the moving object- due to the wave movement it seems that the floor moves as well. Also there are random image distortions due to ref

An algorithm for detection of children behind cars to avoid accidents.

An Application for Diagnosis and Measurement of Facial Nerve Palsy using Android smartphone.

A tool was developed to help medical doctors to analyze and evaluate asthmatic reaction of histological images with computer vision techniques.

Multiple fish-eye images were used to reconstruction the 3D shape of clouds.

Implementation of PTAM (Parallel Tracking and Mapping) Algorithm on AR.Drone Quadcopter. Automatic navigation in a closed space according to real-time 3D mapping the surrounding.

Computer Vision based gathering of information and building statistics about the characteristics and behavior of vehicle movements through a traffic-light-controlled intersection.

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

Autonomous Navigation of LEGO MINDSTORM Vehicle according to Traffic Signs

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LEGO robot with miniature camera controlled by iPAQ Pocket PC navigates autonomously.