Browsing School of Computing and Informatics Technology (CIT) by Subject "Deep learning"

Now showing items 1-6 of 6

    • Detection of counterfeit Banknotes Using Artificial Intelligence (Deep Learning) 

      Bamwesigye, Calvin Kiiza; Ssozi, Isaac; Mukisa, Jotham Prince; Kamurasi, Jordan Arthur (Makerere University, 2024-06)
      Counterfeiting of banknotes poses a significant challenge to financial institutions and businesses worldwide, leading to substantial economic losses and threats to financial security. This final year project investigates ...

    • Explainable real-time sign language to text conversion 

      Katende, Jericho; Mawejje, Mark William; Musemeza, Murungi Isaac (Makerere University, 2024)
      Sign languages are the primary means of communication for the Deaf and Hard of Hearing (DHH) community, but communication barriers remain between sign language users and the hearing population. Existing sign language ...

    • Forest auditory surveillance system 

      Bukirwa, Halimah; Nakityo, Joanita; Okello, Ivan Elijah; Iperu, Rachael (Makerere University, 2023-07)
      Deforestation is a serious problem worldwide, with an estimated 10 million hectares of forests lost each year [1]. The loss of forests can have a significant impact on the environment, including climate change, loss of ...

    • A machine learning model for detection and recognition of road traffic signs. 

      Wamala, Raymond Hans; Mayito, Joseph Raymond; Ajuna, Steven; Nzuki, Sylvia Nduku (Makerere University, 2023)
      ovice drivers often face challenges when it comes to understanding and interpreting traffic signs on the road. This lack of knowledge can lead to accidents and other road mishaps. To address this problem, we propose the ...

    • Physical violence detection using a deep-learning model 

      Nzima, Ghislain; Kakuyo, Philip; Tayebwa Bruno, Businge; Nabuuso, Erina (Makerere University, 2023-07-18)
      Physical violence-related crimes are rampant in Uganda and the rest of the world. These include; muggings, beatings, robberies, assaults and so many others. As a result, citizens feel extremely insecure and fear night ...

    • Tomato mosaic virus diagnosis system 

      Zziwa, Michael; Namulya, Isaac; Mulungi, Mark (Makerere University, 2023-07)
      The following compilation presents an in-depth overview of our final year project, which includes a meticulous software design document, an exhaustive report, and a comprehensive user manual. The central objective of this ...