Research group
Visual analysis and perception
Research group
Visual analysis and perception
Research
Key research areas
The research group focuses on Computer Vision & AI/Machine Learning. Originally with a special focus on people.
Today we work with many different application areas, including:
- Surveillance
- Human-Robot interaction
- Machine learning
- Inspections
- Robotic welfare technology
- Computer vision in sports
- Quality control
- People tracking systems
- Motion capture technology
Research focus
The overall aim of the research done by the Visual Analysis and Perception research group is to make robots and automatic systems smarter, better and faster.
Education
Study related activities
The members of the VAP research group teach a number of different topics, including:
- Computer vision
- Machine learning
- Deep learning
- Image processing
- Image analysis
- Automatic perception
- Robotics
- Sensing
- Camera technology
Collaboration
Who benefits from the research
The research is potentially of interest to all industries where robotics and automation are relevant.
External partners
Over the years, the VAP group has worked with a large number of companies and organisations. Selected current collaborations: Milestone Systems, LEGO, B&O, TinyMobileRobots, Envidan, Danish Crown.
Key projects
ASIR
Project with TinyMobileRobots to develop robotic sewerage inspection solutions.
The safe harbour project
Project supported by TrygFonden that aims at using thermal cameras and intelligent software to detect and prevent accidents and deaths in harbours.
EXOTIC
Project that aims at developing an assistive personal exoskeleton that can be controlled using tongue movements.
Read about more research groups
At the faculty, we have more than 30 research groups and sections with internationally recognized researchers who work in the areas of: planning, digitization, autonomous systems, communication and human touch.