OBSTACLE DETECTION FOR VISUALLY IMPAIRED PEOPLE USING IOT

Abstract

Obstacle detection is one of the most critical challenges faced by visually impaired people, especially in unfamiliar environments where it becomes difficult and dangerous to navigate. This research proposes an IoT-based smart assistance system that aids mobility, safety, and independence in blind users through real-time obstacle detection and alerting. The proposed system integrates ultrasonic sensors with a microcontroller, such as Arduino or NodeMCU, and wireless communication modules to scan a user's surroundings continuously. If an obstacle is detected in a specified range, the system would send feedback via vibration or audio alerts directly to ensure the swift response of the user against the chances of collision. It also connects the module to an IoT-enabled cloud platform for remote monitoring, data logging, and future scalability for advanced features like GPS-based navigation, emergency alerts, and caregiver communication. The compact, wearble design aims to ensure comfort And convenience while maintaining accurate detection performance. Experimental results confirm that the system efficiently identifies obstacles of various sizes and distances in different environmental conditions, whether dynamic or poor light, which essentially enhances the safety and situational awareness of users. This research points to the potential that IoT technologies have in delivering cost-effective, reliable, and user-friendly assistive devices for visually impaired individuals. The proposed solution, with sensor-based detection integrated into intelligent communication and real-time feedback, will contribute to enhancing independent mobility and improving the quality of life among the blind.