International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 10 | Oct 2024
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p-ISSN: 2395-0072
INDOOR NAVIGATION SYSTEM FOR VISUALLY IMPAIRED PEOPLE USING LI-FI AND DEEP LEARNING Harshinee S1, Keerthi M2, Logeshwari M3 UG Students, Department of Electronics and Communication Engineering, Chennai Institute of Technology ---------------------------------------------------------------------***--------------------------------------------------------------------needs. In this article, we discussed the technique we have introduced to make indoor navigation systems easy for visually impaired people.
Abstract: The system addresses the challenge of navigating
complex indoor environments by leveraging visible light communication technology to provide a real-time navigation system. The proposed system comprises modeling selection, training, evaluation, and testing phases. The system achieves enhanced performance and usability through iterative improvement and user feedback. Integration into user-friendly applications enables seamless deployment in various indoor settings, empowering visually impaired individuals to navigate independently and safely. This system contributes to advancing assistive technologies and promoting accessibility for individual impairments. Throughout the process, factors such as robustness, adaptability to different indoor environments, real-time performance, and user interface design for accessibility. Additionally, ensuring privacy and security of user data is crucial when developing and deploying such systems. Indoor navigation poses significant challenges for visually impaired individuals, hindering their autonomy and mobility
Section 2 indicates the components required to implement our indoor navigation system: Li-Fi technology, deep learning, and all the hardware components used in this project. In section 3, we will discuss the development of the indoor navigation system. In t h e 4th and 5th sections, we will discuss future enhancements and conclude.
II. LITERATURE SURVEY Many researchers have studied the importance of assistance for visually impaired people. Naga Thulasi Vundelli, Dharahas Venkat G, and Hima Bindu Valiveti proposed Two Ways of communicating between Blind-Deaf-Dumb Person and Normal People, where braille information is given through a display converted into text displayed on a liquid crystal display and gives voice output from the speaker.
Key Words: (Light Fidelity (Li-Fi), Wi-Fi, Light Emitting Diode, Visible Light Communication (VLC), wireless, Navigation, Security.
I. INTRODUCTION
Sheikh Abdullah, Eti Akter, Mohammed Shariful Islam, and Jargis Ahmed proposed a Cost-effective IoT-based smart stick for visually impaired people. This stick assists the visually impaired in moving outside the environment.
Usually, outdoor guidance for visually impaired people is much more efficient compared to the assistance they get indoors. To date, only traditional methods such as using guide dogs have been implemented. and that, advancements in technologies nowadays, the safety concern of impaired people should also increase. Recent technological progress opens up new possibilities for making life more comfortable for people with visual impairments. Indoor navigation systems are considered a vital innovation thathelps blind people be more independent in indoor areas, ensuring safety and normal navigation. The inability of GPS to act accurately enough indoors due to the signal’s limitations has become a driving force for scientists to create indoor navigation systems using Li-Fi and deep learning algorithms. Li-Fi represents a technology of transmitting information using light signals that allow accurate indoor localization and navigation. Deep learning techniques are suitable for functioning in a limited space and processing different complex data patterns. As a result, these technologies combined represent the most optimal way to build indoor navigation systems specific to the blind’s
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Yanbin Liu, Xiaowei Qin, Tianyi Zhang, Ting Zhu, Xiaohui Chen, and Guo Wei proposed a novel decoupled TCP extension protocol for a VLC hybrid network. Different from regular TCP protocol, decoupling operation to TCP transmission. Agon Memedi, Hsin-Mu Tsai, Falko Dressler investigated the impact of realistic light radiation patterns on Vehicular VLC (V-VLC) based on an empirical study for typical car headlight and taillight modules. Lalithanjani Udayagini; Siva Reddy Vanga; Lohitha Kukkala proposed using an ultrasonic sensor that detects obstacles, then the camera module starts detecting the object and gives the obstacle's name as audio output. The audio output or a microphone will help the blind person reach their destination. The camera module can also detect the faces of family members, and relatives through audio output giving the name of the person.
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