Research Publications

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Embargo
A Mobile Based Garbage Collection System
(IEEE, 2022-12-29) Wijendra, D; De Silva, D. I.; Gunawardhena, N. M.; Wijayarathna, S. M.; Aluthwaththage, J. H.
Garbage disposal and collection is an ongoing global crisis amplified by the increasing world population, lack of funds and public awareness, and recently because of the Covid-19 pandemic. Information Technology can be utilized as a solution for the existing garbage collection methods that are old-fashioned, time-consuming, and energy-consuming due to the lack of a unified and consistent system that incorporates all the parties involved in garbage production and collection. A mobile-based garbage collection system is proposed to overcome the issues aforementioned through route and schedule optimization, AI chatbot, and optimized GPS tracking. The route and schedule optimization is achieved through vehicle routing problem with time windows(VRPTW) with synchronization and precedence that was optimized using LNS; the total travel cost went from 172 minutes to 144 minutes. The AI chatbot feature facilitates reporting garbage collection issues and complaints and enquiring about waste management tips (reduce, recycle, and reuse tips) to be used at home. The most prominent role of developing this AI chatbot is replacing the manual process of reporting garbage collection issues in Sri Lanka with an efficient and interactive way. The chatbot has waste management tips Q and A. In Optimized GPS Tracking, the user can use the map to find the nearest garbage disposal place based on the type of rubbish they generate. The truck driver can find the optimal path to the closest current garbage disposal centres and public trash bins and view the location of Homeowners on the map. The optimized path between two points is displayed based on distance, time, and fuel consumption. The main goal of the component is to show the location of garbage disposal bins and the optimal paths for truck drivers using Linear regression and the Node2vec algorithm.
Embargo
Project Bhashitha-Mobile based optical character recognition and text-to-speech system
(IEEE, 2018-08-08) De Zoysa, D. S. S; Sampath, J. M; De Seram, E. M. P; Dissanayake, D. M. I. D; Wijerathna, L; Thelijjagoda, S
In the modern era when computers play a vital role in people's day today activities, visually impaired people face numerous problems when accessing printed text using existing technologies. This will rise to the need for the improvement of devices that could bring relief to this tasks that the blind people have to go beginning to end. Due to digitization of books there are many excellent attempts at building a vigorous document analysis system in industries and research labs, but this is only for those who are able to visible aided. “Bhashitha” is an android based mobile application contains OCR and TTS for Sinhala, Tamil and English languages as single product by resolving problems in existing systems. In order to make the proposed system, user needs to acquire printed document as optical image using a camera of the mobile phone. The image skew will reduce the OCR accuracy drastically due to the angle view of the document. Therefore after doing the image skew detection optical image is passing to the OCR engine to convert the image to character streams representing letters of recognized words. Finally, the converted text output is access by TTS system to convert the textual content into a voice output. Additionally, it consists audio assist system to navigate through the pages in the diligence for differently abled users. This is easier, portable and faster solution comparing to the existing systems which are made for visually impaired.

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