Now showing items 41-58 of 58

    • Monitoring of endangered fish using image processing and AI tools 

      Hossain, Naheen; Habib, Ahsan; Plabon, Tasharif Mehedi (Brac University, 2018-12)
      Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring of them efficiently face setbacks largely due to technological limitations and economic reasons. Technological challenges include ...
    • Navigational system analysis using image processing for visually impaired 

      Chakravorty, Naireet; Afroz, Nazia; Gupta, Dipayan Sen (BRAC University, 2016-03)
      Blindness is a severe disease that limits a person’s ability to navigate their surroundings properly. Usually using a crane has been the only solution for blind people so far, which is a solution not suitable to detect ...
    • A new pattern recognition method for abnormal event detection in crowded scenarios 

      Mostafa, Tahjid Ashfaque (BRAC University, 4/18/2017)
      We propose an autonomous video surveillance system which analyzes surveillance footages of extremely crowded scenes and detects abnormal events. For any particular scenario, any event that diverts from the usual pattern ...
    • A novel approach for digital image watermarking 

      Mitashe, Mashruha Raquib; Habib, Ahnaf Rafid Bin; Razzaque, Anindita; Tanima, Ismat Ara (BRAC University, 2016-08)
      In this paper, a novel adaptive digital image watermarking model based on modified Fuzzy C-means clustering is proposed. For watermark embedding process, we used Discrete Wavelet Transform (DWT). A segmentation technique ...
    • Pedestrian crossing guide based on Android-Cloud platform for blind people 

      Hasan, Anik; Sharif, Nasrat (BRAC University, 2014)
      This paper presents an automatic system which can detect road traffic and let blind people know about that so that they can easily cross the road. In the recent years, Android-driven mobile phones have got popularity among ...
    • Plant leaf disease identification 

      Hasan Mahin, Mohammad Rakibul; Moonwar, Waheed; Rayhan Chy, Md. Shamsul; Shahriar, Md. Fahim; Rafi, Fahim Faisal (Brac University, 2023-01)
      Agriculture has consistently been an essential component of our day-to-day life over the centuries. Because of its contribution to our country’s revenue, the importance of agriculture has been steadily growing over the ...
    • 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 ...
    • Reconstruction of images with RPCA and augmenting 3D model 

      Tahiti, Tasnia Jasim; Yusuf, Talha; Shakhawat, Chowdhury Abrar (Brac University, 2022-01)
      Crime scene photography is one of the most essential parts of documentation for all physical crime scenes in the field of forensic science. It is an organized and structured operation, having a goal of helping the ...
    • Road sign detection and translation in Bangla using image processing and machine learning 

      Islam, Khalid Amirul; Mubin, Nadia Farha; Zaman, Saima (Brac University, 2019-08)
      For the drivers while driving, road signs play very important role but it is really challenging for the drivers' if they are not at home with the meanings of the signs. Driving is a process which is complex, continuous, ...
    • A robust cursor activity control with Iris gesture and blink detection technique 

      Islam, Md. Rayhan Al; Rahman, Maliha; Rezyuan, Md. (Brac University, 2019-04)
      Using computers for people with very limited or no arm movements is a very tough task and most of the time impossible. In this paper, we are proposing an iris based cursor control system developed speci cally for physically ...
    • Skin disease detection and classification using deep learning 

      Shuvon, Mehedi Hasan; Sadia, Rowshanara; Shormi, Shanjida Habib; Arafin, Umma Tania; Chowdhury, Md. Rawha Mikdad (Brac University, 2022-01)
      Skin Diseases have been the primary focus of this study, as they are one of the most lethal diseases if not diagnosed and treated early. The research will enable the fields of Medical Science and Computer Science to ...
    • Smart agricultural system for crop monitoring and soil analysis 

      Das, Bristy; Ul Hoq Sayor, Tahmid Zarif; Nijhum, Rubyat Jahan; Tishun, Mehnaz Tabassum (Brac University, 2022-12)
      Agriculture is the base of the economy in Bangladesh, however, 90% of the farmers are not familiar with modern-technological tools. That is the reason why we see very-little usage of modern tools in farming in our country ...
    • Smoke detection using image processing 

      Sarker, Md. Kamrujjaman (BRAC Univeristy, 2016-07)
      In this report, we have proposed a smoke detection method from image. The Smoke Detection using Image Processing (SDIP) is based on four steps. First, Smoke image acquisition and pretreatment is performed. Second, ...
    • Suspicious human-movement detection 

      Biswas, Amlan; Ria, Sadia Chowdhury; Ferdous, Zannatul; Chowdhury, Shamiha Nishat (BRAC University, 8/21/2017)
      Video analytics is the method of processing a video, gathering data and analyzing the data for getting domain specific information. This project is about to develop a surveillance security system which use human body ...
    • Traffic density estimation and flow control for video surveillance system 

      Paul, Partho Sharothi (BRAC University, 2014)
      Video monitoring and surveillance have been widely used in traffic surveillance system. It is important to know the road traffic density in predefined traffic videos especially in mega cities like Dhaka for signal control ...
    • Tuberculosis diagnosis through image processing 

      Kamal, Nahid; Islam, Subrina; Asad, Al Faysal Bin; Khatun, Sumaiya (BRAC University, 2017)
      Tuberculosis is most common contagious disease. Nowadays, millions of human beings of the world are suffering from it. We will use the most used worldwide method Ziehl-Neelsen stain (ZN-stain) to detect Tuberculosis which ...
    • Tuberculosis diagnosis through image processing 

      Kamal, Nahid; Islam, Subrina; Asad, Al Faysal Bin; Khatun, Sumaiya (BRAC University, 2017)
      Tuberculosis is most common contagious disease. Nowadays, millions of human beings of the world are suffering from it. We will use the most used worldwide method Ziehl-Neelsen stain (ZN-stain) to detect Tuberculosis which ...
    • Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer 

      Reza, Jamil Ur; Tannee, Khadiza Siddique; Orpa, Sanjana Maruf; Fahim, Hasan Mahmud; Foysal, Riyad (Brac University, 2022-05)
      One of the most devastating cancers in the world is lung cancer. It is estimated that nearly a third of the world’s cancer fatalities are due to lung cancer. Diagnosis and treatment of primary and metastatic cancers ...