Description:

Entering assignment/test marks by hand is a daunting task that requires a substantial amount of time and labour in order to ensure the accuracy of the entries. This task becomes increasingly difficult as the size of the class increases. 

The goal of this project is to design and develop an automated approach in entering marks using machine vision with emphasis on its reliability and resilience to errors. 

Type:

Undergraduate

Outcome:

A prototype of an automated system (e.g., in MATLAB) for registering marks from physical test/assignment scripts

Prerequisites

None

Specialisations

• Computer Systems Engineering
• Electrical and Electronic Engineering

Categories

• Image & Voice Processing

Supervisor

• William Lee

Co-supervisor

• Waleed Abdulla

Team

• Jakob Ettles
• Gayan Malavisuriya

Lab

Lab allocations have not been finalised