Master thesis: Optimal Infrared Illumination for Firefighting XR Perception
Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems
In short
This Master's thesis project focuses on optimizing infrared illumination for camera-based perception in challenging firefighting environments, specifically for an XR prototype. The student will research, experiment with, and analyze various illumination configurations to enhance visibility and sensing performance in dark, smoke-affected conditions.
Responsibilities
- Review infrared imaging and illumination techniques for low-light, smoke-affected, and visually degraded environments, and define relevant performance measures
- Characterise available infrared cameras and illuminators, including their effective range, field of view, sensitivity, power requirements, and operational limitations
- Design and perform controlled experiments using different radiant powers, beam angles, wavelengths, mounting positions, target distances, and smoke conditions
- Quantitatively evaluate the influence of illumination on image quality, feature visibility, depth estimation, object detection, and other relevant perception tasks
- Analyse the trade-offs between sensing performance, coverage, energy consumption, safety, and hardware complexity, and recommend an illumination configuration for a future NEXSoS XR prototype
Requirements
- Enrolled in or recently admitted to a Master’s programme in Electrical Engineering, Optical Engineering, Computer Engineering, Physics, or a related field
- Basic understanding of imaging systems, optics, electronics, or experimental measurement
- Programming experience in Python or MATLAB for data processing and analysis
- Interest in experimental research, optical sensing, and hardware-based prototyping
- Ability to design controlled experiments and interpret measurement results
- Good technical writing and communication skills
Desired Qualifications
- Knowledge of infrared, thermal, or multispectral imaging
- Experience with image processing, computer vision, or camera characterisation
- Familiarity with radiometry, optical power measurements, or illumination modelling
- Experience with laboratory instrumentation and experimental data collection
- Knowledge of embedded systems, battery-powered devices, or energy-efficient hardware design
Benefits
- This thesis addresses a focused and practically relevant sensing problem with direct applications in firefighting and XR systems.
- The student will gain experience in infrared imaging, optical system evaluation, experimental design, and hardware development.
- The results will provide concrete recommendations for improving perception in dark and smoke-filled environments.
#Master Thesis#XR#Firefighting#Infrared Illumination#Perception
Company
Ericsson
Job Posted
14 hours ago
Employment Type
Internship
WorkMode
On Site
Experience Level
Entry
Locations
Stockholm, Sweden
Qualification
Master
Applicants
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