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Publication Type : Journal Article
Publisher : IEEE
Source : 2024 Second International Conference on Inventive Computing and Informatics (ICICI)
Url : https://doi.org/10.1109/icici62254.2024.00064
Campus : Amritapuri
School : School of Computing
Department : Computer Science and Applications
Year : 2024
Abstract : This research work examines into the world of helping blind individuals find their way using technology. The study analyses the working of ultrasound sensors which are highly popular in short-range analysis and see how it can be used to mimic human head movement which climates all limitations of previous research in terms of ultrasound sensor placement. A system with navigational aids which is made on a No-ARM chip for very less computational overload can also be found. A ultra-reliable edge detection method called canny edge detection is been examined with a real-life demo on various inputs. Through a comprehensive investigation of these technologies, a system is made with multipurpose use cases with a variety of features and characteristics. Altogether, this study seeks to provide valuable insights that can guide the improvement and optimization of assistive navigation aids.
Cite this Research Publication : Harinarayanan R, Anand Sai G, Binu P K, Advanced Navigation Solutions for the Blind and Visually Impaired, 2024 Second International Conference on Inventive Computing and Informatics (ICICI), IEEE, 2024, https://doi.org/10.1109/icici62254.2024.00064