A comparative study of object detection models for Real Time Application in Surveillance Systems
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
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Brac University
2022
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10361-171672022-09-05T21:01:43Z A comparative study of object detection models for Real Time Application in Surveillance Systems Alam, Saimun Ahmed, Mahim Uddin Hasan, Mehedi Islam, Md. Morshedul Arnob, Shahed Mehrab Hossain, Dr. Muhammad Iqbal Seraj, Mehnaz Department of Computer Science and Engineering, Brac University Surveillance and Security Systems Object Detection YOLO SSD Modern Home Security CCTV Camera Computer Vision Image Processing Fire Weapon and Threat Detection. Data Traffic Management System (Computer system) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 30-33). In this paper, we attempted to give an overview based on thorough research and test ing of the latest object detection methods with an aim to help developers to build a Real Time Responsive CCTV Camera Model. As we welcome the 5G network worldwide, the coming future will surely be heavily dependent on smart machines and internet-based technologies. Therefore, we can assume that our daily life secu rity will also be managed by smart devices. In this research work, our aim is to do a thorough research on the latest models so that one can be chosen to implement and minimize the existing security system into a one device depended security system. The device we often use for surveillance and security purpose is CCTV camera. However, most of the cameras are not connected to the internet also they are not responsive. Which means, the outputs from the cameras cannot be used for further analysis by machines and can only be saved for manual check by humans. Our re search will help to develop such a system that will make the camera act like more of a security guard itself rather than a video recording device only. As we need to find out the best suited detection method we will check the accuracy, implementation process, power usage, GPU and CPU usage and then choose between previously invented methods such as HOG (Histogram of Oriented Gradients), Viola Jones De tector or the latest inventions such as R-CNN, SSD YOLO. Finally, this research will help the security device developers to choose the best algorithm and build cost efficient systems. Also, the future works of the research will help to create alert for abnormal presence of unknowns under surveillance automatically. Overall, we can say that our research will help to build more affordable, efficient and digitally secured home, offices, schools or any other buildings and even roads and highways in coming days. Saimun Alam Mahim Uddin Ahmed Mehedi Hasan Md. Morshedul Islam Shahed Mehrab Arnob B. Computer Science 2022-09-05T10:19:50Z 2022-09-05T10:19:50Z 2022 2022-01 Thesis ID: 17301060 ID: 17301061 ID: 17301046 ID: 17101052 ID: 17101134 http://hdl.handle.net/10361/17167 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 33 Pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
Surveillance and Security Systems Object Detection YOLO SSD Modern Home Security CCTV Camera Computer Vision Image Processing Fire Weapon and Threat Detection. Data Traffic Management System (Computer system) |
| spellingShingle |
Surveillance and Security Systems Object Detection YOLO SSD Modern Home Security CCTV Camera Computer Vision Image Processing Fire Weapon and Threat Detection. Data Traffic Management System (Computer system) Alam, Saimun Ahmed, Mahim Uddin Hasan, Mehedi Islam, Md. Morshedul Arnob, Shahed Mehrab A comparative study of object detection models for Real Time Application in Surveillance Systems |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. |
| author2 |
Hossain, Dr. Muhammad Iqbal |
| author_facet |
Hossain, Dr. Muhammad Iqbal Alam, Saimun Ahmed, Mahim Uddin Hasan, Mehedi Islam, Md. Morshedul Arnob, Shahed Mehrab |
| format |
Thesis |
| author |
Alam, Saimun Ahmed, Mahim Uddin Hasan, Mehedi Islam, Md. Morshedul Arnob, Shahed Mehrab |
| author_sort |
Alam, Saimun |
| title |
A comparative study of object detection models for Real Time Application in Surveillance Systems |
| title_short |
A comparative study of object detection models for Real Time Application in Surveillance Systems |
| title_full |
A comparative study of object detection models for Real Time Application in Surveillance Systems |
| title_fullStr |
A comparative study of object detection models for Real Time Application in Surveillance Systems |
| title_full_unstemmed |
A comparative study of object detection models for Real Time Application in Surveillance Systems |
| title_sort |
comparative study of object detection models for real time application in surveillance systems |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17167 |
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