Browsing by Subject "YOLOv5"

Now showing items 1-15 of 15

    • Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments 

      Mahmud, Ishtiaque; Ritu, Sumaia Arefin; Mahmood, Zaki Zawad (Brac University, 2024-05)
      The advancement of autonomous vehicles requires a fast and effective object detection and segmentation system handling a wide range of road environments. The goal of this research is to improve autonomous navigation by ...

    • 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 motor vehicle number plate recognition 

      Saha, Krishno; Ishrak, Parvez; Shovon, Jahid Hossian; Abir, Alinur Rahman (Brac University, 2024-01)
      The purpose of this initiative is to develop automatic motor vehicle number plate recognition (Bangla) using machine learning, identifying and taking out the numbers of license plates from photos. By using this system ...

    • Autonomous object detection dataset: a study on Bangladeshi roadways 

      Sakib, Kazi Sadman; Abir, Tahsinul Islam; Kareena, Shahida Sultana; Alam, Rupanti (BRAC University, 2024-10)
      This research aims to enhance object detection in autonomous driving by testing the three new advanced YOLO models, namely, YOLOv5, YOLOv7, and YOLOv8, on a private dataset proposed specifically for Bangladesh. It is ...

    • A comprehensive study for predicting eyesight disease using ML 

      Sayem, Tanvir Islam; Sara, Fouzia Rahman; Biswas, Poroma; Bhowmick, Debabrata (BRAC University, 2024)
      From mild to severe distant vision impairment caused by untreated conditions, including cataract, glaucoma, retinal disease, and diabetic retinopathy, more than60% of the world’s population—exceeding 4.5 billion ...

    • Computer vision-based Bengali sign language to text generation 

      Tazalli, Tonjih; Liya, Sumaya Sadbeen; Aunshu, Zarin Anan; Hossain, Magfirah; Mehjabeen, Zareen (Brac University, 2022-01)
      In the whole world, around 7% of people have hearing and speech impairment problems. They use sign language as their communication method. People from various countries use a variety of sign languages. As an example, ...

    • Deep learning-based real-time pothole detection for avoiding road accident 

      Basher, Rafsan; Ayon, Asif Raihan; Gharamy, Avijit; Zayed, Abdullah Al; Zaman, Md Samin Yeasar Ibna (Brac University, 2022-01)
      Bangladesh is a fast-developing country, and the number of roads increasing with it is immense. With the ever-growing amount of road comes the age-old problem of a pothole. This paper represents a model of deep learning-based, ...

    • Density based traffic control system for a four way intersection 

      Chowdhury, Faizul Bari; Faruqui, Tahmid Azim; Razzaque, Rylah Marzia; Iqbal, Nayeem (Brac University, 2023-01)
      Intelligent traffic system is not new to this modern world in order to mitigate traffic congestion. However, a proper management plan for a four way intersection lacks in our cities. An enhanced and optimized system is ...

    • An efficient approach for recyclable waste detection and classification using image processing techniques 

      Chowdhury, Prabal Kumar; Islam, Md. Aminul; Haque, Md Aminul (Brac University, 2023-01)
      One of the world’s most pressing issues right now is the lack of a competent waste management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ...

    • Intelligent parking system using machine learning 

      Abrar, Md. Ishtiak; Saha, Shawon; Halim, Hamim Shabbir; Shafi, Shoaib Ahamed (Brac University, 2022-09-28)
      In the last two decades, the quantity of automobiles has increased dramatically. As a result, utilizing technology effectively to promote convenient parking at public and private locations becomes critical. Conventional ...

    • Leveraging robust CNN architectures for real-time object recognition from conveyor belt 

      Moon, Nowrin Tasnim; Siddiqua, Sabiha Afrin; Parvin, Shahana; Muntaha, Sidratul; Hassan, K.M. Mehedi (Brac University, 2023-01)
      In the innovative era, the problem of recognizing undesirable objects and individuals on conveyor belts is addressed by various architectural or algorithmic approaches. Conveyor belts are those by which things go in a ...

    • Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN 

      Mostafa, Tanzim; Chowdhury, Sartaj Jamal (Brac University, 2022-05)
      Autonomous vehicles [AVs] are the future of transportation and they are likely to bring countless benefits compared to human-operated driving. However, there are still a lot of advances yet to be made before these vehicles ...

    • 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 ...

    • Recognising license plate from image data using deep learning 

      Golder, Rupam; Rahman, Sadman; Shams, MD. Isteak; Hasan, Jawad; Bakhtiar, Fahim Muhammad (Brac University, 2022-09-29)
      Maintaining surveillance and security on the roads has become a significant challenge, which is why it has become necessary to conduct proper methods to control this problem. To ensure security and safety on the roads, ...

    • Synergistic application of advanced machine learning and computer vision techniques for the detection of exoplanet and star: leveraging contrastive learning in astronomical imagery 

      Alif, Ashraful Kabir; Hossain, Sk Jamil; Hossain, Md Impreeaj; Antor, Shihab Shahriar; Roy, Arghya Pranto (BRAC University, 2024-11)
      The detection of exoplanets through direct imaging has become increasingly feasible with the advent of modern telescopes like the James Webb Space Telescope (JWST) and its MIRI coronagraph. These instruments have ...