AN INVESTIGATION INTO IOT-BASED ASSISTIVE SYSTEMS FOR VISUALLY IMPAIRED INDIVIDUALS

Abstract

In today’s technology-driven world, assistive solutions play a vital role in improving the quality of life for visually impaired individuals. Blind people face significant challenges in detecting obstacles and navigating safely in their daily environment. This project presents an IoT-Based Smart Glove for Blind Person, designed to assist visually impaired users by providing real-time obstacle detection and instant alerts, thereby enhancing safety and independent mobility.The proposed system uses an ultrasonic sensor to continuously sense the surrounding environment and measure the distance between the user and nearby obstacles. The sensed data is processed by a microcontroller such as NodeMCU ESP8266 / Arduino Nano, which compares the measured distance with predefined threshold values to determine unsafe conditions. When an obstacle is detected within the danger range, the system immediately alerts the user through vibration, sound (buzzer), and LED indications, ensuring quick awareness without requiring visual input.The smart glove is designed to be wearable, lightweight, low-cost, and easy to use, making it suitable for everyday activities. Unlike traditional aids such as white canes, this system enables non-contact obstacle detection and provides multi-mode alerts, which are effective even in noisy or crowded environments. The integration of IoT-capable hardware also allows future expansion for wireless monitoring and smart assistive applications.

Overall, the Smart Glove for Blind Person demonstrates the effective use of embedded systems and IoT technology in assistive devices. The system improves mobility, confidence, and safety for visually impaired individuals and represents a practical step toward inclusive and intelligent assistive technology solutions..