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Hydrology for all: Image-based water level monitoring

Hydrology for all: Image-based water level monitoring. How does it work?. Finds water line in an image Calculates the water stage Stores both the value and the image Provides live services in the form of stage, images, videos, alerts. What does it take?. A good Webcam A good camera stand

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Hydrology for all: Image-based water level monitoring

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  1. Hydrology for all:Image-based water level monitoring

  2. How does it work? • Finds water line in an image • Calculates the water stage • Stores both the value and the image • Provides live services in the form of stage, images, videos, alerts.

  3. What does it take? • A good Webcam • A good camera stand • A good flat background • An ftp server • A machine vision software to calibrate the images • Remote clients (smartphones, computers, etc.) to visualize, download data

  4. A good Webcam • Objective: install virtually anywhere in the world • Live images require 3G coverage Picture of unsecured prototype: new packaging in testing

  5. A good 3G webcam

  6. A good stable stand for stable images

  7. Picture of older prototype. New and improved prototype in testing

  8. Picture of older prototype. New and improved prototype in testing

  9. A good flat background

  10. A machine vision software to calibrate the images

  11. Remote clients to visualize, download data

  12. Preliminary results • Results borrowed from • Gilmore, T.G.,F. Birgand and K. Chapman. Source and magnitude of error in an inexpensive image-based water level measurement system. Submitted November, 10, 2011 to Journal of Hydrology

  13. Can we detect water level?

  14. Can we measure water level? and linkage to real world measurement Detection

  15. The System: Edge Detection

  16. The System: Edge Detection

  17. The System: Edge Detection

  18. The System: Edge Detection

  19. The System: Calibration

  20. The System: Calibration x = 0 cm, y = 75 cm x = 0 cm, y = 45 cm

  21. Uncertainty: Three Experiments • Image Resolution • Lighting effects* • Perspective • Lens distortion • Water meniscus Benchmark I Benchmark II Water Level

  22. Uncertainty: Camera effects Lighting* Meniscus Effects

  23. Standard error for several image resolutions in the lab Mean Bias, SD, RMSE (cm) 5 m 4m, 12 mm 6 m 7 m cm per pixel

  24. Water Level: Posture Angle 10 deg 19 deg For camera at 6 meters

  25. Water Level: 6m, 16mm lens 19 10 posture angle from horizontal (degrees)

  26. Preliminary recommendations and performance • Lens distortion must be minimized • Posture angle may interact with meniscus • With reasonable precautions, accuracy of +/- 3 mm (0.01 ft) is achievable in the lab

  27. Products • Data • Pictures • Videos • Alert • Remote actions in the field (work in progress)

  28. Miscellaneous pictures

  29. Picture of Prototype of camera mount – a secured version is in testing

  30. Please visit www.gaugecam.com

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