Browsing Thesis & Report, BSc (Computer Science and Engineering) by Subject "YOLOv7"

Now showing items 1-6 of 6

    • An ambient assisted living system for Alzheimer’s patients 

      Abedin, Minhajul; Ahad, Mohammad Abdul; Hasan-Ul-Banna, A.B.M; Khan, Nibraz; Hossain, Ashfaq (Brac University, 2022-09)
      Alzheimer’s is a brain disorder that gradually deteriorates the brain functions of the patients. As the disease progresses, victims start to lose their memory, thinking ability, eventually rendering them unable to perform ...

    • 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 ...

    • 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 ...

    • 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 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 ...

    • 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, ...