Research Publications

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AI-Based Smart Traffic Management System for Emergency Vehicles
(SLIIT City UNI, 2025-07-08) Amarasinghe, D P S V; Benorith, L
Modern cities' main traffic congestion problem delays emergency vehicles like ambulances and firetrucks and police cars where every second counts. Fixed signal traditional traffic systems lack real-time adaptability, hence delays and risks are raised. This paper suggests an AI-driven smart traffic management system to priorities emergency vehicles and enhance general traffic flow by means of Raspberry Pi, YOLOv8, and OpenCV. Strategically positioned cameras provide video to a Raspberry Pi, which detects emergency vehicles by using OpenCV and YOLOv8. Dynamic control of traffic lights on detection helps to clear the path, so reducing response times and improving safety. The technology also maximizes road use and helps to ease traffic. For cities with limited infrastructure, using reasonably priced, open-source tools are scalable and ideal.
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Development of an Elephant Detection and Repellent System based on Efficient Det-Lite Models
(IEEE, 2023-04-03) Pemasinghe, S; Abeygunawardhana, P.K.W
Human-elephant conflict (HEC) has become a major concern in Sri Lanka that results in many unfortunate human and elephant deaths. Methods that are currently in place to mitigate HEC, such as electrical fences have undesirable consequences resulting in both human and elephant casualties. In this paper, we have proposed a method based on computer vision and deep learning that has a promising potential for detecting and repelling elephants without endangering the lives of elephants or humans. We have used EfficientDet-Lite models that provide a good compromise between accuracy and performance in order to be usable with a resource-constrained device like a Raspberry Pi.
Embargo
Design and implementation of an autonomous indoor surveillance robot based on raspberry pi
(IEEE, 2019-12-05) Dharmasena, T; Abeygunawardhana, P. K. W
In recent years robotics has influenced many fields including the security and surveillance domain. Due to convenience and flexibility more and more security robots tend to be deployed in place of humans for routine activities such as area sweeps. While there are many kinds of research have been done regarding this concern, many of the solutions cost more due to their implementation complexity while low-cost implementations are only capable of doing simple activities such as following given local coordinates. This paper describes an autonomous surveillance robot that is being developed while keeping the development costs as low as possible and is capable of performing routine patrols autonomously in indoor environments and detect anomalies around it such as temperature fluctuations, unauthorized personals and report them back to a central computer. This robot can be controlled remotely by security personals to facilitate manual inspections. Due to the development architecture of the robot, more software-based features can be added easily.

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