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Course · 300 h · 5 modules
Course in Underwater Computer Vision
The Course in Underwater Computer Vision Prepares you to apply computer vision to images and video captured underwater, where light is absorbed, scattered and shifted in colour. You will learn to correct and enhance underwater ima
Duration300 h
FormatOnline
Starts21 December
Places20 / 20
Prior knowledge
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Programme overview
What is the Course in Underwater Computer Vision?
The Course in Underwater Computer Vision
Prepares you to apply computer vision to images and video captured underwater, where light is absorbed, scattered and shifted in colour. You will learn to correct and enhance underwater images, train deep learning models to detect and classify species, objects and damage, reconstruct the seabed in 3D using photogrammetry, and combine cameras with sonar on robots and observation platforms working in real marine conditions.
Key advantages
- Specific challenges: Turbidity, light absorption and scarce labelled data.
- Open tools: Python, OpenCV and deep learning libraries.
- Varied applications: Biodiversity, inspection and robot navigation.
- Underwater 3D: Photogrammetry and seabed reconstruction.
- Case study: Building a detector with real underwater images.
Programme type
Course
Study mode
Online
Duration
300 hours
Modules
5
Programme highlights
- Enhance images: Apply colour and contrast correction.
- Detect objects: Train detection and segmentation models.
- Reconstruct in 3D: Use underwater photogrammetry.
- Combine sensors: Integrate cameras and sonar.
- Boost your career: Apply your skills in marine robotics, inspection and research.
- Train to help machines learn to see underwater.
Curriculum
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
01
Underwater Imaging and Optics
- Light absorption and scattering
- Underwater cameras and housings
- Artificial lighting
- Calibrating cameras underwater
- Formats and data volumes
02
Image Processing and Enhancement
- Colour correction
- Dehazing
- Contrast enhancement
- Noise reduction
- Assessing image quality
03
Deep Learning for Underwater Images
- Convolutional neural networks
- Object detection
- Image segmentation
- Datasets and labelling
- Data augmentation and transfer learning
04
3D Reconstruction and Perception
- Stereo vision
- Underwater photogrammetry
- Seabed mosaics
- Fusing cameras and sonar
- Vision for robot navigation
05
Applications and Deployment
- Biodiversity monitoring
- Inspection of structures and hulls
- Detecting marine litter
- On-board and real-time processing
- Case study: a detector using real images
Workload
Study Time and Workload
300 hours of study, online and at your own pace. Move the slider to the hours a week you can really put in.
Hours a week8
Weeks to finish—
You finish around—
Who it is for
Computer, telecoms or electronic engineers: who want to apply computer vision to the sea Data scientists: interested in underwater imaging Marine biologists: who analyse large volumes of video Subsea inspection technicians: who work with ROVs and cameras Marine robotics developers: who need visual perception
Faculty
Academic direction and faculty
The teaching team at Navalis: working professionals who deliver and oversee the institute's programmes.
Eng. Diego Cifuentes
Cap. Javier Abaroa (MCA)
Dr. Pau Ferrer
Dr. Nuria Llobregat
Eng. Javier Bañuls
Eng. Sofía Marquina
Eng. Tomás Riera
Verified reviews
Student Reviews
Reviews collected and verified by Opynio, not written by us.
Outcomes
Learning Outcomes
- 01Understand underwater optics
- 02Enhance images
- 03Apply deep learning
- 04Manage training data
- 05Reconstruct scenes in 3D
- 06Integrate vision into robots
Careers
Career Opportunities
01Computer vision engineer: Perception for underwater vehicles.
02Marine imaging data scientist: Automated analysis of video and images.
03Image-based inspection technician: Automated damage detection.
04Biodiversity analyst: Automated species classification.
Questions
Entry Requirements
Yes, a basic level of Python is recommended to follow the exercises.
No. You can use cloud computing environments with free or low-cost resources.
Yes. You work with public underwater image datasets.
Acoustic imaging and its fusion with cameras are introduced, although the focus is optical imaging.
Developing and evaluating a detector using real underwater images.
100% online, with a virtual campus available 24/7, live sessions that are recorded, and tutorials with the teaching staff.
The programme involves 300 hours of study. You can work at your own pace within the timetable we give you when you enrol.
Each programme has its own start date, shown on this page and confirmed by our admissions team when you enquire.
On completing the programme you receive the Course in Underwater Computer Vision qualification awarded by Navalis Magna Institute.
Online admissions
Admissions Process
No waiting for a phone call. If your documents are complete, you can pay in the same session.
Entry requirements
Entry profile: University studies or professional experience in engineering, computing, data science, marine science or subsea inspection. Language: A good working level of English to follow classes and materials. Technical requirements: A computer with a stable internet connection, an up-to-date browser and a webcam for live sessions and project presentations. Admissions process: Online application, profile review and a short interview with the academic team. We confirm your start date when you enquire.
Questions?
Frequently Asked Questions
Leave your details and admissions will write back. If you already know this is the one, go straight to the application and pay in the same session.