1. Eagle Grid: Update voor de Zorg BallanceIT 31 October 2013

2. Tests and Results from 2012  Eagle Vision has recorded data in 2 situations:  Corridors for elderly care  Epileptie  Data have been shared with HvA/Tim  Own algorithms thested

3. People tracking night and day  Detection works from depth only  Used for night safety

4. Fall detection

5. Stand up from Bed  Detection works from depth only  Used for night safety

6. Detected vs not detected situations  Limitations when people are lying  Very light and very dark places  False detections

7. Improvements Over the last year  People detection improved  Movement detection  Dark situations  Easier installations

8. Improvements : People detection improved  Improved separation of individual people   Hook view   Basic Events detection (Stan Zit)  Fall detection   Moving objects 

9. Improvements : Dark situations  Automatic shutter time  Swart / Wit contrast issues  Sensibility in low illuminations   Improved background => less false detections  New camera driver:  This results in less overhead per frame, which allows for longer shutter times. This means the Eagle Eye can handle darker areas.

10. Improvements Easier installations  IR   In 1 box  Easier set-up  Interfaces to the outside

11. Conclusion  Eagle Vision delivers robust people tracking platform  Stereo Sensor  Scalable Network  Privacy by design  3D information on people position  Scalable  Infra-Red possibility for night safety  Open Interface for integration