-
Study
Study
Interested in studying at Northumbria? With 31,500 students, Northumbria is one of the largest universities in the country, offering courses on either a full-time, part-time or distance learning basis.
Discover more-
Undergraduate
- Undergraduate Study Degree
- Undergraduate Open Day & Events
- Application Guides
- Northumbria University UCAS Exhibitions
- Foundation Years
- Undergraduate Fees & Funding
- School & College Outreach
- Continuing Professional Development
-
Postgraduate
- Postgraduate Study Degree
- Postgraduate Research Degrees
- Postgraduate Open Days and Events
- Postgraduate Fees & Funding
- Flexible Learning
- Thinking about a Masters?
- Continuing Professional Development
- Change Direction
-
Student Life
- The Hub - Student Blog
- Accommodation
- Life in Newcastle
- Support for Students
- Careers
- Information for Parents
- Students' Union
- Northumbria Sport
-
-
International
International
Northumbria’s global footprint touches every continent across the world, through our global partnerships across 17 institutions in 10 countries, to our 277,000 strong alumni community and 150 recruitment partners – we prepare our students for the challenges of tomorrow. Discover more about how to join Northumbria’s global family or our partnerships.
Discover more-
Applying to Northumbria
- European Union
- Our London Campus
- Northumbria Pathway
- International Events
- Entry Requirements
- Agent Network
-
Northumbria Language Centre
- Faculty Requirements
- Acceptable English Requirements
- Pre-Sessional English and Study Skills
- Academic Language Skills Programmes (ALS)
-
International Fees, Funding & Scholarships
- International Undergraduate Fees
- International Undergraduate Funding
- International Masters Fees
- International Masters Funding
- International Postgraduate Research Fees
- International Postgraduate Research Funding
- International Money Matters
-
Life at Northumbria
- International student support
- The Hub - Student Blog
- Careers
-
International Mobility
- Current Northumbria Students
- Incoming Exchange Students
-
-
Business
Business
The world is changing faster than ever before. The future is there to be won by organisations who find ways to turn today's possibilities into tomorrows competitive edge. In a connected world, collaboration can be the key to success.
Discover more -
Research
Research
Northumbria is a research-rich, business-focused, professional university with a global reputation for academic quality. We conduct ground-breaking research that is responsive to the science & technology, health & well being, economic and social and arts & cultural needs for the communities
Discover more -
About Us
-
About Northumbria
- Our Strategy
- Our Staff
- Our Partners
- Student Profiles
- Alumni Profiles
- Leadership & Governance
- Academic Departments
- University Services
- History of Northumbria
- Contact us
- Online Shop
-
-
Alumni
Alumni
Northumbria University is renowned for the calibre of its business-ready graduates. Our alumni network has over 237,000 graduates based in 178 countries worldwide in a range of sectors, our alumni are making a real impact on the world.
Discover more - Work For Us
What will I learn on this module?
This module will give you a good understanding of the implementation and programming of computer vision systems. You will be taught the fundamental concepts of how computers are used to gain insight into the contents of images and videos.
You will develop a computer vision system that is designed for a specific application, for example the detection and classification of speed limit signs for an autonomous car, the detection and recognition of a face for secure access systems, or the detection and classification of human activity in a video.
How will I learn on this module?
You will learn the core material from a series of lectures and lab sessions that cover the fundamentals of computer vision systems and how they are programmed using current practices. The labs will provide you with progressive hands-on experience of developing and programming computer vision systems.
How will I be supported academically on this module?
You will be supported by formal lectures and interactive lab sessions as well as supplementary material and reading lists from the University’s e-learning platform.
What will I be expected to read on this module?
All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)
What will I be expected to achieve?
Knowledge & Understanding:
ML01. Demonstrate a wide ranging knowledge and understanding of computer vision systems including the techniques, tools, design, development and testing of these systems.
ML02. Demonstrate an understanding of user, professional, ethical, social, and economic issues and risks surrounding the design, development, implementation, and operation of computer vision systems.
ML03. Demonstrate a critical knowledge and understanding of the software engineering principles required when developing computer vision systems.
Intellectual / Professional skills & abilities:
ML04. Demonstrate computational thinking in terms of the analysis and design of computer vision systems. This should include the selection of available approaches i.e., methods, theories, tools, and algorithms.
Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
ML05 – Demonstrate engagement with computer vision literature and peer reviewed research.
How will I be assessed?
Summative assessment will be a research report (100%) that brings together all the new skills you have learned from a combination of taught material and your own engagement with the research literature. The word limit of the report will be 3500 words. You will receive both informative and confirmatory feedback on your assessments.
This assessment addresses Module Learning Outcomes – ML01, ML02, ML03, ML04 and ML05
On an on-going basis you will also receive formative feedback on exercises you are required to complete in lab sessions.
Pre-requisite(s)
N/A
Co-requisite(s)
N/A
Module abstract
This module will teach you the theory, principles and practice behind the development of computer vision systems. Indicative topics include: Principles of image representation in computers, domain transformation of images, image filtering, edge detection, feature extraction, object detection and classification. The taught theory will be complimented by research rich learning as well as computer vision system development. You will apply what you have learned in the lectures, labs and your own research to an assessed piece of work where you will design and develop a computer vision system that is able to detect and classify images in a video stream. The module aims to provide you with some experience of programming computer vision systems as implemented in industry and so enhance your employability in that field.
Course info
UCAS Code G415
Credits 20
Level of Study Undergraduate
Mode of Study 3 years full-time or 4 years with a placement (sandwich)/study abroad
Department Computer and Information Sciences
Location City Campus, Northumbria University
City Newcastle
Start September 2024 or September 2025
All information is accurate at the time of sharing.
Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.
Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.
Your Learning Experience
Find out about our distinctive approach at
www.northumbria.ac.uk/exp
Admissions Terms and Conditions
northumbria.ac.uk/terms
Fees and Funding
northumbria.ac.uk/fees
Admissions Policy
northumbria.ac.uk/adpolicy
Admissions Complaints Policy
northumbria.ac.uk/complaints