Real-Time Alert System for Home Surveillance - UTPedia

Real-Time Alert System for Home Surveillance. by. Ishrat bin Adi Azahar. Dissertation submitted in partial fulfillment of the requirement for the Bachelor of Engineering (Hons) (Electrical and Electronics Engineering). AUGUST2011. Universiti Teknologi PETRONAS Bandar Seri Iskandar 31750 Tronoh Perak Darul Ridzuan. CERTIFICATION OF APPROVAL. Real-Time Alert System for Home Surveillance. by lshrat bin Adi Azahar. A Project dissertation submitted to the Electrical and Electronics Progranune Universiti Teknologi PETRONAS in partial fulfillment of the requirement for the BACHELOR OF ENGINEERING (HONS) (ELECTRICAL AND ELECTRONICS ENGINEERING). Approved by,. j£k (Ms Zazilah May). UNIVERSITI TEKNOLOGI PETRONAS TRONOH, PERAK August2011. I. CERTIFICATION OF ORIGINALITY. This is to certify that I am responsible for the work submitted in this project, that the original work is my own except specified in the references and acknowledgements, and that the original work contained herein have not been undertaken or done by unspecified sources or persons. ISHRAT BIN ADI AZAHAR. 11. ABSTRACT. Nowadays, there is an increasing awareness towards efficient home surveillance system. However, most of the home surveillance products in the market are costly and do not offer flexible alert systems platform for user customization. Real-time alert system is important for the user and as well as to those residing home. This project aims to emulate real-time alert system by implementing SMS technology and internet for e-mail and FTP storage. Users would be notified by SMS and e-mail if happens to be potential danger situation at home. The method for getting input data for triggering alert would of visual devices, having the capability to detect motion, recognition and tracking. A thorough research on the GSM technology, and programming libraries such as OpenCV, MATLAB and Microsoft Visual Studio 2005 is necessary to the success of this project, as well as immaculate and extensive study on the concepts behind module implementation to be translated into codes. This project is divided into two major parts; the motion detection of visual device and the automated alert system of SMS and e-mail. Here, home computer or laptop acts as the interface and data processor, controlled by the programming libraries. The project requires having hardware layouts, creating module codes, and then integrating the system together to be tested for its workability.. iii. ACKNOWLEDGEMENT. First, I would like to thank my supervisor, Ms Zazilah May, for her help and guidance for the past two semesters. Her reasoning has always been beneficial to this project, and I am thankful to her.. Secondly, I would like to thank my friends for their wholesome and continuous support to me during the whole period of the project and their help in making my project workable and successful. Then I would also like to thank these few individuals without whom my project will cease to exist: Ms Khafidha Adi Azahar for her tremendous information and help regarding the project, Ahmad 'Azizi Nawawi and Ashraf Haffizi Tauffick for their help with acquiring the hardware of the project.. Last but not least, my utter graceful goes out to my wonderful parents Adi Azahar bin Kassim and Hamidah bt Md. Yatim, for their steady patience and prayers, whose unwavering support, grace and faith have propelled me forward with this project.. IV. TABLE OF CONTENT. CERTIFICATION OF APPROVAL. i. CERTIFICATION OF ORIGINALITY. ii. ABSTRACT. iii. ACKNOWLEDGEMENT. iv. CHAPTER 1 : INTRODUCTION. 1. 1.1. BACKGROUND STUDY. 1. 1.2. SIGNIFICANT OF PROJECT. 1. 1.3. OBJECTIVE. 2. 1.4. SCOPE OF STUDY. 2. 1.5. RELEVANCY OF PROJECT. 3. 1.6. FEASIBILITY OF THE PROJECT WITHIN. 3. TIME SCOPE AND TIME FRAME. 3. CHAPTER 2 :LITERATURE REVIEW 2.1. 2.2. 2.3. 2.4. GSM/GPRS FOR REAL-TIME ALERT SYSTEM. 4 4. 2.1.1 Data Collecting. 5. 2.1.2 Data processing. 5. 2.1.3 Communication Unit. 6. IMPLEMENTING WIRELESS NETWORK. 8. 2.2.1 Wireless System Architecture. 9. 2.2.2 System Software Design. II. MOTION DETECTION. II. 2.3.1 Temporal Difference. 12. 2.3.2 Background Modelling. 12. OBJECT TRACKING AND RECOGNITION. 13. 2.4.1 P-N learning. 14. 2.4.2 Structural Constraints. 15. v.