Owli-AI Way-Buddy
Detects walkable paths and gives acoustic direction cues directly on your smartphone.
Digital orientation aid for safer routes in daily life.
Notice: this page was machine-translated and is pending editorial review.
Core features
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Walkable path detection
The app analyzes the camera image and detects areas classified as safe to walk.
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Real-time direction estimation
A recommended movement direction is calculated from the detected walkable area.
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Acoustic stereo feedback
A left/right differentiated audio signal gives guidance for the optimal movement direction.
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On-device processing
Image analysis runs directly on the smartphone and no camera images are sent to servers.
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Training mode for data collection
Optionally, image and mask data can be stored locally to generate training data for model improvements.
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Development and analysis mode
Visualizations and debug information provide transparent insight into model predictions.
Privacy
Operating mode: Hybrid
Image processing runs fully on-device. No camera data is transferred to external servers.
Stored training data remains local on your smartphone.
System requirements
- Android 10 or newer
- Camera access
- Optional internet for future cloud features
View details
Who is Owli-AI Way-Buddy for?
Owli-AI Way-Buddy is designed for blind and visually impaired people who need additional orientation support while walking outdoors. The app does not replace a white cane or guide dog, but can serve as an additional digital aid.
If you are looking for an orientation app that can detect walkable paths, Way-Buddy gives you clear real-time direction cues. Navigation support for visual impairment is delivered through precise audio feedback and is intended as additional help in daily life.
What does the app do?
Way-Buddy analyzes your smartphone’s live camera image and detects walkable surfaces such as sidewalks or free space ahead of you. From this information, it calculates a recommended movement direction.
Instead of visual hints, you receive acoustic feedback:
- A differentiated stereo signal indicates whether you should orient more to the left or right.
- Tone intensity or position provides additional direction cues.
How Way-Buddy works
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Point the camera
The smartphone is pointed forward so the area in front of you is captured. -
Scene segmentation
A trained neural network detects walkable surfaces in the camera image. -
Direction calculation
A stable movement direction is derived from the detected walkable area. -
Acoustic feedback
Through headphones or speaker, you receive a left/right differentiated orientation signal.
Training and development mode
Way-Buddy also includes a training mode where image and mask data can be stored locally. This data is used to further develop and improve the underlying models.
A development mode visualizes model predictions directly on screen and makes system behavior transparent.
Privacy and processing
Image processing runs fully on-device. No camera data is transferred to external servers. Stored training data remains local on your smartphone.
Media gallery
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UI preview placeholder
Next step
Store release, trial access, questions, or partnership: we respond in a structured and timely way.