A comparative study of object detection models for Real Time Application in Surveillance Systems

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.

Bibliografski detalji
Glavni autori:	Alam, Saimun, Ahmed, Mahim Uddin, Hasan, Mehedi, Islam, Md. Morshedul, Arnob, Shahed Mehrab
Daljnji autori:	Hossain, Dr. Muhammad Iqbal
Format:	Disertacija
Jezik:	en_US
Izdano:	Brac University 2022
Teme:	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)
Online pristup:	http://hdl.handle.net/10361/17167

Similar Items

An efficient traffic management system to detect lane rule violation using Real-time Object Detection
od: Arnob, Faed Ahmed, i dr.
Izdano: (2021)

Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
od: Haque, Tashfia, i dr.
Izdano: (2024)

Exploring attacks in the NFT gaming industry: A study of risks and mitigation strategies
od: Mohima, Zarin Rahman, i dr.
Izdano: (2023)

Efficient and effective automated surveillance agents using kernel tricks
od: Ahmed, Tarem, i dr.
Izdano: (2016)

Health threats as nontraditional security challenges for Bangladesh
od: Bhuiya, Abbas
Izdano: (2016)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
od: Datta, Anurag, i dr.
Izdano: (2022)

Development of intelligent home security system
od: Islam, Sayedul, i dr.
Izdano: (2017)

Smart surveillance system for identifying bikers without helmets using deep learning
od: Hossain, MD. Iqbal, i dr.
Izdano: (2020)

Automated intruder detection from image sequences using minimum volume sets
od: Ahmed, Tarem, i dr.
Izdano: (2016)

Delay in completion of fire protection and detection work
od: Brac University
Izdano: (2023)

Instruction to start the work at BRACU new campus project (Fire detection & fire protection)
od: Brac University
Izdano: (2023)

Instruction to start the work of fire detection & fire protection at BRACU new campus project
od: Brac University
Izdano: (2023)

Anomaly detection In IoT using machine learning algorithms
od: Arko, Aritro Roy, i dr.
Izdano: (2019)

MS pipe for conducting for AV. PA, IT system, security access control and fire detection cabling work
od: BUCG-ABC Joint Venture (BUCG-ABC JV)
Izdano: (2023)

Face recognition based home security system
od: Sakib, Sadman, i dr.
Izdano: (2021)

Food security and nutrition surveillance project round 10 : February - April 2013
od: Helen Keller International (HKI), i dr.
Izdano: (2014)

Food security and nutrition surveillance project round 6 : October - December 2011
od: Helen Keller International (HKI), i dr.
Izdano: (2014)

Food security and nutrition surveillance project round 7 : February - May 2012
od: Helen Keller International (HKI), i dr.
Izdano: (2014)

Food security and nutrition surveillance project round 8 : June - August 2012
od: Helen Keller International (HKI), i dr.
Izdano: (2014)

Food security and nutrition surveillance project round 9 : October - December 2012
od: Helen Keller International (HKI), i dr.
Izdano: (2014)

Design of Arduino based home automation systems incorporating identity detection
od: Islam, Md. Wasif, i dr.
Izdano: (2018)

Food security and nutrition surveillance project, results from round 13 : February - April 2014
od: Helen Keller International (HKI), i dr.
Izdano: (2016)

Food security and nutrition surveillance project, results from round 12 : October - November 2013
od: Helen Keller International (HKI), i dr.
Izdano: (2014)

Smart security system based on frontal face detection method and android mobile
od: Khan, Mahjabeen
Izdano: (2017)

Entry restricted security system for a smart home
od: Razi, Abdullah Al, i dr.
Izdano: (2016)

Instruction to ensure safety & security at BRACU new campus project (BTCL)
od: Brac University
Izdano: (2023)

Cognitive load detection of vision impaired in the inward places using Bio-signal
od: Kabir, Raiyan, i dr.
Izdano: (2020)

Food security and nutrition surveillance project round 11 : June - September 2013
od: Helen Keller International (HKI), i dr.
Izdano: (2014)

Real-time DDoS detection in software-defined networks using machine learning
od: Hasan, Kadir, i dr.
Izdano: (2024)

An automated fire fighting system
od: Shams, Rafat, i dr.
Izdano: (2016)

Violent activity detection through surveillance camera using deep learning
od: Miah, Parvez, i dr.
Izdano: (2023)

Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments
od: Mahmud, Ishtiaque, i dr.
Izdano: (2024)

Punches in the walls and slabs are being kept as per submitted drawing
od: Brac University
Izdano: (2023)

Design and development of IoT based comprehensive system for emergency assistance
od: Habib, Sahriar, i dr.
Izdano: (2021)

Learning algorithms for anomaly detection from images
od: Ahmed, Tarem, i dr.
Izdano: (2018)

Abandoned object detection with video surveillance
od: Aurangzeb, Chowdhury Farsad, i dr.
Izdano: (2015)

A comparative study of traffic detection using Google map (GPS) and IoV
od: Alam, Mohd. Touhedul, i dr.
Izdano: (2023)

Real time action recognition from video footage
od: Apon, Tasnim Sakib, i dr.
Izdano: (2021)

Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
od: Sanjana, Jasia, i dr.
Izdano: (2024)

Assisting the visually impaired people using image processing
od: Rahman, Ferdousi, i dr.
Izdano: (2018)