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==Short Description==
 
==Short Description==
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There is a continuous demand for high-speed image processing and recognition. Traditional machine vision systems are composed of image sensors and general-purpose processor.In this project we will design a custom interface for one or more image sensors. The interface will have a control unit that will allow the host system to control the parameters (image format, resolution, acquisition rate etc) of the image sensors. A data acquisition block will be used to access data from the image sensors. The main part of the project will be in designing the pre-processing stage which will perform a set of filtering and/or machine learning algorithms on the fly as the image is being acquired and forward this information to a larger host system for further processing.
  
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The project will require you to understand and implement the communication interface of common image sensors, will allow you to implement real-time video processing and machine learning algorithm steps directly ion hardware and interface with the host computer system.
  
 
===Status: Available ===
 
===Status: Available ===
 
: Looking for 1-2 Semester/Master students
 
: Looking for 1-2 Semester/Master students
: Contact: [[:User:Gautschi | Michael Gautschi]], [[:User:Magnom | Michele Magno]]
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: Contact: [[:User:Magnom | Michele Magno]]
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===Prerequisites===
 
===Prerequisites===
 
: VLSI I
 
: VLSI I
 
: VLSI II (''recommended'')
 
: VLSI II (''recommended'')
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: Interest in video processing and machine learning
 
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===Status: Completed ===
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: [http://www.iis.ee.ethz.ch/portrait/staff/lbenini.en.html Luca Benini]
 
: [http://www.iis.ee.ethz.ch/portrait/staff/lbenini.en.html Luca Benini]
 
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==Detailed Task Description==
 
==Detailed Task Description==
  
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[[Category:Digital]]
 
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[[Category:Semester Thesis]]
 
[[Category:Semester Thesis]]
  

Latest revision as of 18:53, 6 December 2014

Image Sensor Interface and Pre-processing.jpg

Short Description

There is a continuous demand for high-speed image processing and recognition. Traditional machine vision systems are composed of image sensors and general-purpose processor.In this project we will design a custom interface for one or more image sensors. The interface will have a control unit that will allow the host system to control the parameters (image format, resolution, acquisition rate etc) of the image sensors. A data acquisition block will be used to access data from the image sensors. The main part of the project will be in designing the pre-processing stage which will perform a set of filtering and/or machine learning algorithms on the fly as the image is being acquired and forward this information to a larger host system for further processing.

The project will require you to understand and implement the communication interface of common image sensors, will allow you to implement real-time video processing and machine learning algorithm steps directly ion hardware and interface with the host computer system.

Status: Available

Looking for 1-2 Semester/Master students
Contact: Michele Magno

Prerequisites

VLSI I
VLSI II (recommended)
Interest in video processing and machine learning

Character

20% System Design
60% ASIC Design
20% Verification

Professor

Luca Benini

↑ top

Detailed Task Description

Goals

Practical Details

Results

Links

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