Difference between revisions of "Image Sensor Interface and Pre-processing"
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==Short Description== | ==Short Description== | ||
− | + | In this project we will design a custom interface for an image sensor. The interface will have a control unit that will allow the a host system to control the parameters (resolution, acquisition rate etc) of the image sensor. A data acquisition block will be used to access data from the image sensor. The main part of the project will be in designing the pre-processing stage which will perform a set of filtering and 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 === | ===Status: Available === | ||
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: VLSI I | : VLSI I | ||
: VLSI II (''recommended'') | : VLSI II (''recommended'') | ||
+ | : Interest in video processing and machine learning | ||
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===Status: Completed === | ===Status: Completed === |
Revision as of 14:50, 27 March 2014
Contents
Short Description
In this project we will design a custom interface for an image sensor. The interface will have a control unit that will allow the a host system to control the parameters (resolution, acquisition rate etc) of the image sensor. A data acquisition block will be used to access data from the image sensor. The main part of the project will be in designing the pre-processing stage which will perform a set of filtering and 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