University of MassachusettsAnalog DevicesCollege of EngineeringDept of Electrical & Computer Eng- UMLProfessor Mufeed MahD-UML
 

The Design of a Blackfin-Based Student Number Recognition Device

A Student Number Recognition Device (SNRD) is to be designed and implemented to read single-row alphanumeric characters. The core of the proposed SNRD is composed of an optical character recognition algorithm that is used to translate optically scanned bitmaps of printed alphanumeric text into ASCII character codes. The proposed SNRD is to be used to access several facilities that have limited or restricted access permission such as: Hi-tech multimedia class rooms, scientific laboratories, parking lots, and other recreation and attraction services. The design technique is to be implemented using the Analog Devices® Blackfin® ADSP-BF537 Digital Processor. The ADSP-BF537 is a high performance 16/32-bit embedded processor core, it is based on full SIMD core architecture for accelerated video and image processing, and is equipped with Memory Management Unit (MMU) supporting full memory protection for an isolated and secure environment.

Senior undergraduate and graduate students are allowed. Maximum three participants per team in a school. Work is to be scored based on Software/Hardware efficiency in terms of speed and code density. Analog Devices® will  provide the first 15 schools registered before April 30, 2006 one  of each of the following products:
VisualDSP ++® v4.0 (VDSPU-BLKFN-PCFULL
ADSP-BF537 EZ-KIT Lite® (ADDS-BF537-EZLITE)

Problem Statement
Contest Milestones
Design Evalaution
Problem Validation
Contest Program
Abstract Submission
On-Line registration
Accomodation
Date and Place
Directions
Maps
Awards &Hospitality
Acknowledgment
Feedback
Contact information
Committes