Browsing RCAICT - 2025 by Publication Date

Browsing RCAICT - 2025 by Publication Date

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  • A Cloud-Integrated IOT-Based Anti-Theft System for Home Using Image Processing 
    Tharsan, S.; Nusky Ahamed, T. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Home security has become a major concern due to the rise in burglary and unauthorized access incidents. This study proposes a cloud-integrated IoT-based anti-theft system using real-time facial recognition to enhance ...
  • Real-Time Elephant Movement Detection for Human Safety: An IoT-Integrated Smart Fence Approach 
    Budhdhika, W.G.T.M.; Pathiraja, S.P.M.C.P.; Kalubowila, K.D.K.A.; Vinoharan, V. (Faculty of Technological Studies, University of Vavuniya, 2025)
    The escalating Human-Elephant Conflict (HEC) in Sri Lanka has necessitated a transition from conventional mitigation methods to more sustainable and humane solutions. This study presents an Internet of Things (IoT)-based ...
  • AI-Powered Attendance System Using or Codes and Facial Recognition 
    Adikaram, K.K.J.K.B.; Mohomed Wazeem, S.K.; Ranaweera, S.D.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This research introduces a Safe and Smart Dual Authentication Student Attendance System using Facial Recognition and QR Code verification to eliminate proxy attendance and enhance operational efficiency in academic ...
  • IoT-Enabled Face Recognition Attendance Systems for University Students in Sri Lanka 
    Jayathilaka, V.A.N.T.; Ravichandran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This study presents a comprehensive face recognition attendance system designed for educational institutions in Sri Lanka. The system leverages Insight Face's buffalo l model as the primary recognition engine, achieving ...
  • Audio Deepfake Detection Methods: A Review 
    Janani, W.V.M.; Nissanka, N.B.A.S.C.; Thisaravi, K.G.A. (Faculty of Technological Studies, University of Vavuniya, 2025)
    The emergence of audio deepfake technologies has raised new concerns in the area of digital security, privacy, and trust in media. Audio deepfakes are AI-generated synthetic audio clips that are capable of accurately ...
  • Detecting Pests in Mango Crops using Machine Learning (ML) 
    Sankeetha, V.; Agalya, V.; Vinoharan, V. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Mango is one of the most important fruit crops in Sri Lanka, playing a vital role in both the agricultural sector and rural livelihoods. Despite its economic value, mango cultivation faces persistent challenges due to pest ...
  • Sense Step: An Innovative Smart Cane for Visually Impaired Individuals 
    Tharsayani, M.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Sense Step is an innovative smart cane designed to empower visually impaired individuals through advanced assistive technology. Traditional mobility aids lack critical features to ensure user safety and independence, leaving ...
  • E-Document Classification Using Deep Learning 
    Wijesuriya, M.W.A.S.P.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    The proliferation of digital content in the form of electronic documents necessitates efficient classification methods to manage and analyze this growing body of information. This research explores the application of ...
  • Sinhala Sentiment Analysis Using Comments Review 
    Mohamed, M.U.R.; Bandara, S.M.N.D.; Lakmal, A.G.; Perera, W.A.S.C. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Sinhala remains underrepresented in Natural Language Processing research, even though it is the primary language of more than 16 million people in Sri Lanka. To extract public opinion from the increasing amount of Sinhala ...
  • Deep Learning-Based Detection of Deficiencies and Leaf Diseases in Chili Plants Using Image Processing 
    Kavindu Rashmika, W.A.D.; Semasinghe, T.M.N.M.; Vithanage, M.V.S.C.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Early detection of nutrient deficiencies and foliar diseases is essential to improve chili productivity, especially in rural communities where traditional testing is expensive and inaccessible. This study developed a deep ...
  • Development of a Voice-Controlled Front-End User Interface Using AI-Based Command Recognition 
    Rakshika, U.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Artificial Intelligence (AI) innovations have revolutionized digital interactions, enhancing accessibility and usability in modern web applications. This project presents a voice-controlled front-end user interface (UI) ...
  • Real-Time Cattle Monitoring Using Low-Cost IoT Smart Collars with Lora Communication in Sri Lanka’s Dry Zones 
    Udapola, W.A.K.B.; Ravichandran, R.; Imalka Randev, K.T.; Shashika Theekshana, V.P.; Roshan, S.; Nanduni Sanjana Wanniarachchi, D.; Yohan Shanuka, J.A.D.; Silva, K.C.N.A.; Bandara, S.M.S.G.T.L. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Effective free-range cattle management remains a critical challenge for smallholder farmers in the rural and dry zones of Sri Lanka due to crop damage, theft, and accidents caused by uncontrolled livestock roaming. This ...
  • Intelligent Handwriting Recognition for Preschool Children Using Convolutional Neural Networks (CNNs) 
    Abirami, S.; Jayarathna, J.H.S.S.M.; Abeysinghe, A.K.U.S.; Sakuntharaj, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This study addresses the challenge of recognizing handwritten numbers and alphabetic letters produced by preschool children. At this developmental stage, handwriting is often irregular, unstructured, and inconsistent in ...
  • Image-Based Recognition for Sri Lankan Traffic Signs 
    Dhilakshan, T.; Disne, K.; Thadchanamoorthy, S. (Faculty of Technological Studies, University of Vavuniya, 2025)
    This research describes the development of an image-based traffic sign recognition system specifically designed for Sri Lankan road environments. The objective is to enhance road safety by accurately identifying local ...
  • Smart Crop Recommendation System Using Machine Learning Models 
    Senevinayaka, R.K.S.D.C.; Amarakoon, B.M.P.P.; Tuvensha, J. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Crop recommendation systems have become essential tools in modern agriculture, assisting farmers in selecting the most suitable crops based on a combination of environmental and soil factors to optimize yield and resource ...
  • Agro Guard: A Smart IoT and Machine Learning-Based Assistant for Climate-Resilient Precision Agriculture 
    Libisanan, J.A.; Thisakaran, R. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Agriculture plays a vital role in ensuring global food security amid growing population pressures. However, climate change, soil degradation, and natural disasters such as floods pose serious challenges to maintaining soil ...
  • Deep Learning-Based Plant Identification in Sri Lanka 
    Chayanthithan, C.; Rajagopal; Bandara, P.R.D.N.; Farhana, M.F.F.; Dharmasiri, T.N.; Bandara, U.M.J.M.; Jayasekara, J.M.T.N.; Saliny, N.; Nirosi, P. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Sri Lanka is home to a diverse range of plant species, many of which play critical roles in agriculture, biodiversity conservation, and ecological balance. Traditional methods of plant identification are often manual, ...
  • Advancing Network Intrusion Analysis: A Hybrid Approach from Detection to Classification 
    Vithusha, B.; Sankeetha, V.; Abiramithan, T.; Lojenaa, N. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Effective network security requires both accurate detection of anomalies and meaningful classification of detected threats. While supervised machine learning models are proficient in identifying anomalous traffic, categorizing ...
  • Deep Learning-Based Detection of Diseases in Mangifera indica (Mango) 
    Bandara, B.M.A.U.; Chathuranga, T.D.K.; Madhuwantha, D.A.J.A.; Saranga, T.A.D.S.; Mishawrnilanthi, S.; Hasitha Viduranga, G.R.; Dhanaranga, K.W.I.B.; Vinoharan, V.; Suthaharan, S. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Mango (Mangifera indica) is one of the most commercially viable fruit crops in Sri Lanka. However, its cultivation faces increasing challenges due to various pests and diseases, which significantly reduce both yield quantity ...
  • Tomato Leaf Disease Classification Using Deep Learning Techniques 
    Prabhasha, S.M.U.N.; Wijesinghe, W.P.D.J.N.; Jayasinghe, B.N.D.; Tuvensha, J. (Faculty of Technological Studies, University of Vavuniya, 2025)
    Tomato leaf diseases pose a significant threat to crop yield and quality, necessitating accurate and timely detection methods. This study focuses on developing an automated tomato leaf disease classification system using ...

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