FYP Presentation Using Mobile Sensors for Wireless Home Security System Author:Student ID: Sun Chak Fong, Cheung Ngai Hoi, Project supervisor : Dr. Amine Bermak

Opportunities Motion detection Location positioning MoCam Future development Objectives Movement detection Tracky Notification Agenda Design by Brian Implementati on Design by Jason Discussion Introduction

Opportunities

Objectives GUI

Introduction to Jason's Work  Algorithms Implementation  Motion Detection Algorithm  Movement Detection Algorithm  Surveillance Algorithm  Notification design  Notification  Alert Notification  CCTV Surveillance System, MoCam

Algorithms Implementation – Motion Detection  Edge Detection in iPhone Input image Edge Detection Edge Extraction Compare the difference Identifiy Motion

Algorithms Implementation – Motion Detection  Face Detection in iPhone Input image Face Detection Face Extraction Face Extraction Face Recognition Identifiy Human Motion

Algorithms Implementation – Motion Detection  Pixel Difference  Optimization

Optimization of Pixel difference detection  Pixel Difference Level  represents the sensitivity of the difference between two pixels

Optimization of Pixel difference detection  Motion Points  represents the number of pixels per particular area to compare with

Optimization of Pixel difference detection  Motion Level  threshold level indicates the percentage of the number of pixels difference counted over total “Motion Points”

Comparison of motion detection algorithms Pixel Difference Detection Edge Detection

Comparison of motion detection algorithms Algorithm Time to identify motion occurred Accuracy CPU/Memory Usage Edge Detection 1 – 2 secondLow Medium Face Detection 3 – 5 secondMedium High Pixel Difference (After optimization) Less than 1 secondHigh Low Win!

Algorithms Implementation – Movement Detection

Algorithms Implementation – Surveillance  Motion Detection Mode  Monitoring Mode Start Image Processing of Pixel Difference Detection Start Movement Detection Start Surveillance Send Notification regularly Start Surveillance

Notification design – Notification  SMTP Server  Photo Attachment Sender’s Outgoing SMTP Server Receiver’s Incoming SMTP Server

Notification design – Alert Notification  AVFoundation AVAudioPlayer *_player; // Load the audio file NSURL *fileURL = [[NSURL alloc] initFileURLWithPath: [[NSBundle mainBundle] _player = [[AVAudioPlayer alloc] initWithContentsOfURL:fileURL error:nil]; if( isAlarmOn && isMotionDetectionMode) { [_player play]; }

Introduction to Brian's work  Algorithms implementation  Location positioning algorithm  Notification design  Notification with Google Maps  Location tracking system, Tracky

Mapkit API

Algorithm for displaying user location  MKMapView  MKCoordinateRegion  MKUserLocation  MKReverseGeocoder  MKPlacemark  MKPinAnnotation

Algorithm for calculating Safe Zone  Store user location’s latitude & longitude  Compare them with the Safe Zone’s values  Make sure they are within boundary  Alert if not

Stability of internet connection  Generate error message

Accuracy of location positioning GPSWLAN Hotspot3G/triangulation

Google Static Maps

Performance and Power consumption  Connect to the network using the WLAN whenever  Transmit the smallest amount of data needed  Disable location updates when it is not in use

CCTV Surveillance System, MoCam

 Hardware Architecture

 Overview of GUI

Demonstration

Location Tracking system, Tracky

 Hardware Architecture

 Overview of GUI

Demonstration

Future Variety of notifications, e.g. SMS Multi Tasking Web server support Control external sensors

Q&A