SMARTNAV
| dc.contributor.author | Rishab Swaroop 1NH21EC129; Ramakrishna U 1NH21EC128; Aditya Sachin Sawant 1NH21IS008; Ishan Sanjeev Paul William 1NH21IS065 | |
| dc.date.accessioned | 2025-05-14T10:17:28Z | |
| dc.date.available | 2025-05-14T10:17:28Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | For individuals with visual impairments, independent navigation can be a daunting and often unsafe task, heavily impacting their mobility and confidence. SmartNav is a solution designed to address these challenges, providing an intelligent assistive device that combines cutting-edge technologies to offer practical, reliable, and user-friendly navigation support. By integrating real-time object detection, spoken feedback, and location guidance, SmartNav enables users to move more safely and independently in their environment. The system utilizes a Raspberry Pi and a USB camera to detect obstacles in real-time. The camera processes visual input, identifying potential hazards, while the Raspberry Pi provides the computational power needed to process the data and generate timely feedback. A GPS module ensures that location-based guidance is available, helping users navigate longer routes or unfamiliar areas with confidence. To make the device even more user-focused, spoken instructions are used to communicate vital navigation information. These instructions ensure clarity and reduce the cognitive load on users, allowing them to focus on their surroundings rather than interpreting complex signals. One of the standout features of SmartNav is its chatbot, which enhances the user experience by offering an interactive layer of support. This conversational companion not only provides additional assistance during navigation but also helps reduce feelings of isolation, making the device a true companion for visually impaired individuals. SmartNav is designed with scalability and affordability in mind. Its modular structure makes it easy to incorporate future upgrades, such as advanced object detection algorithms, gesture-based controls, and IoT connectivity for remote monitoring and data sharing. The project’s focus on accessibility ensures that it remains a cost-effective option for individuals and organizations looking to improve the quality of life for visually impaired users | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/18917 | |
| dc.language.iso | en | |
| dc.publisher | NHCE | |
| dc.title | SMARTNAV | |
| dc.type | Learning Object |