Research Papers - Dept of Software Engineering

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    DFOG-Image Processing Application for Real-Time Defogging
    (IEEE, 2020-11-04) Indiketiya, I. H. O. H; Kulasekara, K. M. R. A; Thomas, J. M; Gamage, I; Thilakarathna, T
    The enhancement of real-time video taken under bad visibility or bad weather is a vital necessity in consumer transport industry and computer vision applications. During the past decade, many researchers have been devoted to the problem of how to remove fog noise from real-time video. Nowadays vehicle industry uses various computing systems to assist in the transport of travelers from one location to another .now most of the cars have revers camera front cameras and sensors who give the signal when the vehicle is near to another object. These detections and identification are useful for the safe operation of vehicles. When looking through vehicle accident history, many accidents caused bad weather conditions. Fog, haze, rain, and other natural weather conditions cannot remove physically. Fog and haze block vison above 1 kilometer. There is a defogger in the windscreen, but it is only removed Mist on the windscreen. For the driver's vision above the rode, there is no such thing for that. The purpose of this research paper is introducing a new system to remove fog from real-time video and give detailed visual to the driver in foggy or other bad weather condition. This D-Fog system includes functions such as give clear realtime visual in bad weather condition, recognize, and give details about the object above the road, give the distance between objects and vehicle. In this system, main function is producing real-time defogged, clear video. Combination of Ha and Hoon method and Dark channel priority method used to get this real-time defog video. To recognize the object, this system has use thermal sensors and heat maps. To get the distance between object and vehicle this system has use LIDAR sensors. Because of this facility, we can name this system as three in one system.
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    A Fully Functional Shopping Mall Application--SHOPPING EYE
    (IEEE, 2014-11-18) Karunarathna, K. M. D. M; Weerasingha, H. M. D. A; Rumy, M. M; Rajapaksha, M. M; De Silva, D. I; Kodagoda, N
    In the modern world, shopping has become an essential day to day activity for most of the people. However, their busy life style has lessened the time to do shopping. This has made them to look for quicker and easier ways to do their shopping. Some of the difficulties that people have to go through when they do shopping include having to travel a long distance without knowing the availability of the items, difficulty in finding relevant shops inside a shopping mall, forgetting to buy some items which they intended to buy. In order to overcome the above mentioned problems a fully functional shopping mall application is proposed in this paper. It contains details about all the shops inside a mall, available items, customer wish lists and a map. It consists of a mobile application developed using Android and a Server side module which act as a main database server for connecting with customers and shop owners. Both the modules communicate through web services. In this project wireless communication technique -- Bluetooth is used to identify the vertical and horizontal position of the customer. Augmented reality based technique is used to tag the shops with its promotions, loyalty points etc.