Faculty of Computing

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/4202

Browse

Filters

2016 - 201912020 - 20221

Advanced Search

Filter by

Settings

Subject: search.filters.subject.Navigation System

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    PublicationEmbargo
    Real-time Smart Navigation System for Visually Impaired People
    (IEEE, 2022-12-09) Sudaraka Keshara, S.R.D.; Weragoda, W.R.J.M.; Chandrasiri, S; Ellankovan, J; Madushan, W.A
    Visual sense plays a primary role in guiding sighted people through an unfamiliar environment and assisting them to reach their destination safely. Visual impairment describes the actual damage that makes it difficult to accomplish visual tasks because it makes it difficult to see clearly. This paper proposes an approach to overcome the challenges faced by visually impaired people with the help of machine learning. This proposed system combines a smart cane and a wearable smart glass. The detection of obstacles and potholes helps to increase the safety and comfort of visually impaired users by detecting and displaying obstacles, and the Smart Walk-lane Navigation assists in navigating through the walk-lanes without letting them enter the main roads and helps to prevent accidents. Road sign detection allows users to follow road signs and cross the roads safely, while face and emotion detection allows users to recognize well-known people and their emotions.
  • Thumbnail Image
    PublicationEmbargo
    AVII [assist vision impaired individual]: an intelligent indoor navigation system for the vision impaired individuals with vlc
    (IEEE, 2016-12-16) Jayakody, A; Meegama, C. I; Pinnawalage, H. U; Muwenwella, R. M. H. N; Dalpathado, S. C
    Vision impaired individuals confront unique challenges every day in their day-to-day life when navigating in unfamiliar public locations. The proposed system focuses on designing a device for vision impaired people that is comfortable, user friendly and can help with travelling independently. The solution is an audio guidance system that provides guidance through voice commands and beep sounds. In this study, authors propose an indoor navigation system that utilizes visible light communication (VLC) technology, which employs LED lights, geomagnetism technology, best path detection algorithms and obstacle detection aimed at supporting visually impaired people to overcome the positioning and navigating problems. System uses a MCU based mechanism to transmit positional information by leveraging the existing LED lights of the indoor environment. The study looks at an improved version of Dijkstra's algorithm to estimate search time and distance to find the best path for the navigation purposes. Geomagnetic sensor is used to obtain the travelling direction of the visually impaired individual to provide an extreme accurate system to take the turns accurately according to the best path and to correct the individual while traveling. Sonar sensors are used for obstacle detection which aids the individual to prevent any collisions or injury. Database optimization involves in increasing the speed and efficiency of the retrieved data and reduces the system response time.