Browsing by Subject "Computer vision"

Now showing items 1-18 of 18

    • Analysis of deep learning models on low-light pest detection 

      Irtiza, Md. Samin; Ahmed, Fattah; Haque, Md. Tahmidul; Tamim, Arifur Rahman; Sultana, Samia (Brac University, 2022-09-28)
      It is undeniable that in recent years, exceptional progress has been made toward building the most accurate and efficient object detectors. However, existing low- light object detectors still require a substantial amount ...

    • Automated feedback test generation and functionality testing for UI development with self-guided recommendation 

      Hasan, Md.Tanvir; Durjoy, S.M. Hazzaz; Hasan, Jahidul; Binte Zafar, Mahazabin (Brac University, 2023-01)
      UI development is the most integral part of the Software Development Life Cycle and testing the functionality of the UI is also as much important during the Software Testing Life Cycle of any software project. Without ...

    • Automatic detection of defective rail anchors 

      Khan, Rubayat Ahmed; Islam, Samiul; Biswas, Rubel (2014-11)
      Rail line anchors/fasteners are the metallic components that attach each line with the sleepers. These are essential rail components as absence of these often result in derailments. Therefore in order to prevent dangerous ...

    • Autonomous delivery robot 

      Zavin, Sarin Rahman; Rahaman, Kazi Habibur; Nayeem, Safat Ahmed; Bin Mujahid, SK Rubayet; Sarkar, Swapnil (Brac University, 2023-05)
      Autonomous driving is now a topic of great interest in the modern world. With the advancement of AI and hardware technology, it is now possible to tackle many obstacles a human usually faces. The concept of the autonomous ...

    • Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques 

      Rahman, Fardin; Sharif, Sadman; Islam, Syed Shams; Tirtho, Nihad Adnan Shah; Intheshar, Md. Ashir (Brac University, 2024-01)
      The preliminary and precise diagnosis of Alzheimer’s Disease is significant for the speedy management and intervention of the disorder. Numerous valuable tools such as Magnetic Resonance Imaging (MRI), Positron Emission ...

    • Detection of Deepfake using computer vision and deep learning 

      Rahman, Anisur; Uschash, Ehteshamul Islam; Rahman, Faria; Adiba, Shihaba Jamal Chowdhury; Labib, Tahmidul (Brac University, 2023-05)
      In this era of Metaverse and technological advancement, Deepfakes are one of the most alarming concepts. Deepfakes are mostly synthetically-generated manipulated photos or videos which is created swapping a face of a ...

    • Doodle2Clothing : a clothing design recognition and searching model from a doodle drawing 

      Ani, MD Fahim Afridi; Palak, Asif Zubayer; Dip, Shaikh Atisha Rahbath; Pramanik, Arnab; Medha, Tayaba Amin (Brac University, 2024-01)
      In recent years, pattern recognition has made significant progress; as computers can now identify and classify patterns of objects from various types of visual sources. These substantial forward strides in image and ...

    • An efficient facial expression recognition method using mean And standard deviation 

      Laboni, Pragna; Zaman, Nusrat (BRAC University, 8/21/2017)
      Facial Expression gives vital information about emotion of human being. It is really a speedily growing and an ever green research field in the sector of computer vision, artificial intelligence and automation. If we talk ...

    • An efficient handwritten Bangla character recognition system using computer vision and natural language processing 

      Aishi, Tanusree Das; Iltimas, Md. Seam; Wakil, Mirza Azwad; Barua, Pritam (Brac University, 2023-09)
      An efficient handwritten character recognition system for an alpha-syllabary language like Bangla has always been a challenging issue. Despite being in demand, the number of papers being conducted on this was very ...

    • An efficient way to convert 1D signal to 2D digital image using energy values 

      Azad, Muntasir; Khaled, Faiyaz; Rumman, Md. Rakib Hasan (BRAC University, 2018-04)
      Image processing and feature extraction techniques are mandatory for any image based application. Basically, major goals of texture research in computer vision are to understand, model and process texture and ultimately ...

    • Hand gesture recognition using ensemble method 

      Kowsar, Sahib; Chowdhury, Mahzabin; Mahmud, MD Safin; Haque, Shahbaj Shafin; Shifa, Asaka Akther (Brac University, 2023-05)
      Even though things have improved much more over the last century in terms of com- munication, there still is a glaring amount of communication gap between the hearing majority and the deaf community due to the lack of ...

    • Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision 

      Datta, Anurag; Fatema, Kaniz; Tasnim, Nowshin; Sitara, Faria; Das, Mrithik Kanti (Brac University, 2022-05)
      The COVID-19 pandemic has significantly affected day to day lifestyle all over the planet by disequilibrating social order. It moreover added anxiety about the capability of the world’s democracies to cope with the vital ...

    • Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck 

      Sanjana, Jasia; Al Muhit, Abdullah; Zia, Asma (Brac University, 2023-08)
      In order to reduce manpower and bottleneck in the inspection system of industrial garments, we explored the application of the YOLOv5 model using our very own dataset of defective clothing pieces. The economy of Bangladesh ...

    • KDANet: optical recognition for Bangla language using deep neural networks 

      Rabbi, Kazi Kamruzzaman; Dev, Pranto; Hossain, Akram; Sadman, Aninda (Brac University, 2022-05)
      When images of printed or handwritten are converted; be it mechanically or electronically to an editable text format, this is called optical character recognition. Bangla is one of the most complex languages as it has ...

    • 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 ...

    • Retinal Diseases Detection using Deep Learning 

      Mashfi, Shahriar; Roy, Amit; Abdullah, Riasat; Ahmed, Fahim; Khan, Sazid Hayat (Brac University, 2022-09)
      Retina is an important aspect of human vision because it converts light rays into images and sends messages to the brain. We run the danger of suffering long-term harm to the eyesight if we have a problem with our retina ...

    • A secured federated learning system leveraging confidence score to identify retinal disease 

      Eshan, M Sakib Osman; Nafi, Md. Naimul Huda; Sakib, Nazmus; Maruf, Md. Ahnaf Morshed; Emon, Mehedi Hasan (Brac University, 2023-05)
      Federated learning is a distributed machine learning paradigm that enables multiple clients to collaboratively train a global model without sharing their local data. How- ever, federated learning is vulnerable to adversarial ...

    • Smoke detection using deep Convolutional neural network 

      Niloy, Wahidul Hasan; Ornab, Mostafa Kamal; Saha, Saurav (Brac University, 2019-08)
      In a densely populated country like Bangladesh, fire accidents have become a fre- quent disaster that primarily be formed as a consequence of unconsciousness among the people. Therefore, detection of smoke, is a must in ...