Owli-AI Research · Open Source · Accessibility
Owli-AI is a non-commercial research and development initiative in the community of Technische Hochschule Mittelhessen (THM).
We work on accessible STEM teaching materials and digital assistance systems.
The Pattern Collection describes five patterns for accessible teaching materials (EuroPLoP 2025, published in 2026). It is scientific groundwork for the ongoing IncluLearn.AI project.
Paper & context · IncluLearn.AI (in development) · Original paper (PDF)
The 2026 ECCV workshop contribution investigates automatic annotation of pedestrian scenes. Way-Buddy experiments with sidewalk detection and acoustic direction cues.
Workshop contribution · Experimental demonstrator · Original paper (PDF)
The publicly funded THM research and transfer project develops AI-supported methods for accessible STEM teaching materials. Detailed project communication is maintained on the dedicated IncluLearn.AI website.
Justine Buss's bachelor's thesis was awarded the THM Karl-Heinz Lust Innovation Prize on 1 October 2026. The work also led to a workshop contribution presented at ECCV 2026 in Malmö. The Gießener Anzeiger also reported on the award, while THM’s MNI department highlighted the research on LinkedIn.
Four AI-generated audio summaries created with NotebookLM cover accessible STEM education, Way-Buddy, AHRUS and IncluLearn.AI. All four episodes are now available in French. These are AI-generated summaries, not original interviews.
For people with visual, hearing or combined impairments and those supporting them. We aim for clear controls, transparent development and on-device processing where possible. Privacy and limitations vary by app.
Estimates walkable areas in the camera image and provides acoustic direction cues. An experimental Android demonstrator.
Describe scenes, recognize text and ask follow-up questions; read or listen to answers.
Magnification, contrast filters, and read-aloud features, your everyday magnifier on Android.
Real-time transcription, simplified language, and clear speech output for better intelligibility.
Windows prototype for screen magnification, color filters and speech output.
The initiative relies on voluntary engagement.
Research and Assistive Systems
Research, Assistive Computer Vision & AI
Research, Intelligent Environments and Assistive Systems
Research, Computer Vision & Machine Learning
AI-generated summaries offer an audio introduction to our research.
