21-08-2014, 02:32 PM
Smart Privacy-Preserving Screen based on Multiple Sensor Fusion Seminar Report
Smart Privacy-Preserving.pptx (Size: 513.18 KB / Downloads: 27)
INTRODUCTION
Privacy problem arises when personal devices are used in public places.
Others will peep into the screen of laptop or smart phones.
Microlouver technology is used to resist this peeping.
But the screen can be protected automatically
AUTOMATIC PERSONAL SCREEN PROTECTION SCHEME
Based on peeper detection and screen adjustment.
Consists of hardware and software components.
Hardware- sensors
Software-analyse the sensor data
Eye Detection
Constructed on Haar feature extraction and Adaboost classification.
AdaBoost classification method is adopted to detect eyes.
Scales and locations are selected inorder to scan the image for detecting the eyes with different size at different position.
Eye-pair decision for person counting
After eye detection,series of eyes are obtained.
Eg:E0,E1,E2
Each eye is represented by its up-right corner point and down-left corner point
Eg: (x00,y00) and (x01,y01) for E0
Screen privacy protection
Only the consumer can watch the screen clearly by adjusting screen’s lightness.
View distance and view angle are in close relation with screen’s properties.
VD0=DS/[√(NHR/NVR)˄2+CVR tan(1/60)]
VD0-viewing distance(m)
DS-display’s diagonal size(m)
NHR-display’s native horizontal resolution(m)
NVR-display’s native vertical resolution(m)
CVR-vertical resolution of video being displayed
CONCLUSION
Based on video frames captured by video camera module,scheme will detect eyes.
Decide the number of persons peeping at the private screen
Inform the smart screen to protect screen by adjusting light or contrast.
Proposed scheme is a good solution for automatic screen privacy protection