Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title

Now showing items 1087-1106 of 1343

    • Real time action recognition from video footage 

      Apon, Tasnim Sakib; Chowdhury, Mushfiqul Islam; Reza, MD Zubair; Datta, Arpita; Hasan, Syeda Tanjina (Brac University, 2021)
      Crime rate is increasing proportionally with the increasing rate of the population. The most prominent approach was to introduce Closed-Circuit Television (CCTV) camera-based surveillance to tackle the issue. Video ...

    • Real time bengali speech to text conversion using CMU sphinx 

      Kabir, Humayun; Ahmed, Ruhan; Nasib, Abdullah Umar (BRAC University, 2017-12)
      This paper aims to demonstrate the use of Speech-to-Text technology to convert Bangla spoken in a natural and continuous state into Bengali UNICODE font with good accuracy. This achievement required the usage of the open ...

    • Real time classroom attendance management system 

      Islam, Md. Shafiqul; Mahmud, Asif; Papeya, Azmina Akter; Onny, Irin Sultana (BRAC University, 4/18/2017)
      Face recognition is a pattern recognition technique and one of the most important biometrics; it is used in a broad spectrum of applications. Classroom attendance management system is one of the applications. Traditional ...

    • Real time dynamic facial recognition of subject at motion using angular image 

      Tasneem, Sharah; Rahman, Ramisa Yashfi; Mansur, Ayman; Nowshad, MD. Meherab Hossain (Brac University, 2024-01)
      In the developing world keeping track of violations or implementing a secured environment has become crucial. In order to address such issues dynamic facial recognition could be developed in such a way that it can ...

    • Real time image and voice processing input for online multiplayer computer games 

      Waliullah, Syed Shaiyan Kamran (BRAC University, 2012-12)
      Real Time image processing and voice processing in computer gaming is a very recent topic as companies like Microsoft and Sony have researched and implemented this technology recently in their gaming consoles XBOX-360 and ...

    • Real time online multiplayer gaming framework using kinect sensors 

      Ahmed, Imtiaz; Shabab, Khondokar Sadman; Hossain, MD. Shahadat; Akand, MD.Tashauf; Majumder, Shovon (BRAC University, 2018-04)
      A real-time online multiplayer game framework is proposed and demonstrated. The proposed model is composed of multiple Microsoft Kinect sensors and Unity 3D game development tool. The motive is to make a real time multiplayer ...

    • Real time performance analysis on DDoS attack detection using machine learning 

      Suvra, Debashis Kar; Sen, Tanusree; Mou, Maysha Maliha; Rahman, Asifur (Brac University, 2020-04)
      In recent years, Distributed Denial of service (DDoS) attacks have led to a tremendous financial loss in some industries and governments. Such as banks, universities, news and media publications, financial services, ...

    • Real time rail line anchor inspection : context of Bangladesh 

      Chowdhury, Omid (BRAC University, 2014-12)
      Rail inspection is an essential task in railway maintenance. It is periodically needed for preventing dangerous situations and ensuring safety in railways. In Bangladesh it has been seen many train accidents occur due to ...

    • Real time traffic analysis using decentralized SIOT 

      Mostafi, Sifatul; Khan, Farzana; Antar, Md Kamrul Islam; Robinuzzaman, A.K.M. (BRAC University, 12/26/2017)
      The traffic is growing exponentially and expected to be more congested by thousands of millions of vehicles in near future and will become an inescapable problem across the world. It will certainly be troublesome to ...

    • Real time traffic density measurement using computer vision and dynamic traffic control 

      Chowdhury, Md. Fahim; Biplob, Md Ryad Ahmed (BRAC University, 2018-04)
      In recent times, traffic jam has become a common problem in the major cities all over the world. Our capital city Dhaka is no exception. Numbers of people are being victim of traffic jam each day. The main causes of such ...

    • Real time traffic monitoring system using crowd sourced GPS data 

      Md. Al Amin; Uddin, Md. Rofi (BRAC University, 2015)
      There has always been the necessity of accurate and real time traffic information among the commuters and drivers of big cities. In present times, with the increased use and availability of GPS enabled smartphones, a traffic ...

    • Real time traveler information system : an efficient approach to minimize travel time using available media 

      Haque, Mohammad Mahmudul; Hasnat, Abul (BRAC University, 2005-12)
      The objective of this thesis project is to establish a Real Time Traveler Information System that will Support the operation of an Advanced Traveler Information System (ATIS). The system will monitor the current condition ...

    • Real-time 3D integral imaging system using a faster elemental image generation method using GPU parallel processing 

      Islam, Md. Sifatul; Subhani, Mahfuze; Tareque, Mohd. Zishan; Rafi, M. Rashidur Rahman (BRAC University, 2017)
      A novel method of faster computation of Elemental Image generation for real time integral imaging 3D display system, with the implementation of GPU parallel processing is proposed. Previous experiments were conducted to ...

    • Real-time crime detection using convolutional LSTM and YOLOv7 

      Sakiba, Cyrus; Tarannum, Syeda Maisha; Nur, Farzana; Arpan, Fahad Faisal; Anzum, Ahnaf Ahmed (Brac University, 2023-05)
      The principal goal of this study is to create a crime detection system in real-time that can effectively handle closed-circuit television (CCTV) video feeds and evaluate them for possible criminal occurrences. The system’s ...

    • Real-time driving monitoring system on a single-board computer utilizing deep neural networks integrated with MiDAS 

      Kaisar, Sazeed; Jim, Reduan Masud; Islam, Rian (Brac University, 2023-09)
      In recent years, road safety has emerged as a critical concern due to the increasing number of accidents attributed to driver negligence and fatigue. This thesis addresses this pressing issue by proposing a Real-Time ...

    • Real-time foul detection in football matches using machine learning techniques 

      Siddiqui, Bishal Sadi; Mridul, Zeeshan Ahmed; Habib, Zaki; Sakib, Ibrahim; Chowdhury, Md. Ahmarul Islam (Brac University, 2024-01)
      As a widely popular sport worldwide, football necessitates precise and consistent decision-making to uphold fair game-play. It has become essential to automate and optimize certain aspects of the game for fairness and ...

    • Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch 

      Uddin, Md. Minhaz; Foysal, Sadi Mahmud; Rahman, Sadia; Risti, Nushara Tazrin; Sarmin, Sanzeda Akter (Brac University, 2023-01)
      In the era of computer vision to overcome challenges, the introduction of the YOLO model revolutionized real-time computer vision approaches. In the garment industry, the inception of products plays a significant role ...

    • Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices 

      Ghosh, Kawshik Kumar; Islam, MD.Fahim-Ul; Efaz, Abrar Ahsan; Ratul, Md. Wahid Sadiq; Shatil, Md Zaid Hassan Khan (Brac University, 2023-01)
      The livestock industry is a vital component of the global economy, with a value estimated at over $1.4 trillion. However, the health of livestock animals is frequently threatened by infectious diseases, which can have ...

    • Real-time obscene scene nudity detection and blurring in a video clip 

      Rizwana, Jesima; Hasan, Md. Fahim; Hossain, Motakabbir; Zahangir, Kaniz Ferdous Binte; Prothoma, Humaira Mir (Brac University, 2022-09-22)
      Videos are widely consumed by people of all ages as a form of entertainment, information and education. However, not all videos are made for everyone. Many videos contain obscenities such as nudity, violence, blood, and ...

    • Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease 

      Hasan, M. M. Kamrul; Angan, Farhan Faisal; Rashid, Tasmim (Brac University, 2021-09)
      eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional data, particularly in the field of computer vision. As ...