Abstract:
This project introduces an advanced Smart Blind Stick designed to assist visually impaired individuals in navigating their environment with greater safety and confidence. The system is built using an Arduino Uno microcontroller, which serves as the central controller for various sensors and modules. Ultrasonic sensors are used to detect obstacles in the user's path, providing timely warnings through a voice playback module, which delivers audio alerts for better user understanding.
To enhance safety further, an accelerometer is included to detect sudden movements or falls. In the event of a fall or emergency, the system uses a GPS module to obtain the user's location and the ESP8266 Wi-Fi module to send real-time data to the Blynk app, allowing caregivers or family members to monitor the user remotely. The integration of IoT technology ensures that the system remains connected and responsive, offering features like live location tracking and fall detection alerts via mobile devices.
This smart blind stick is a compact, affordable, and user-friendly solution that empowers visually impaired individuals to move independently while keeping their safety a top priority.
Introduction:
Visually impaired individuals face numerous challenges while navigating their surroundings independently, especially in unfamiliar or crowded environments. Traditional white canes, while useful, have limited capabilities in detecting obstacles beyond their physical reach. To overcome these limitations and enhance the mobility and safety of visually impaired users, this project proposes the development of a Smart Blind Stick integrating modern technologies.
The proposed system is based on an Arduino Uno microcontroller and incorporates several sensors and modules to provide intelligent assistance. Ultrasonic sensors are employed to detect obstacles ahead and alert the user through a voice playback module, offering real-time audio feedback. An accelerometer monitors sudden movements or falls, ensuring that accidents are promptly identified.
Furthermore, the stick includes a GPS module for tracking the user’s location and an ESP8266 Wi-Fi module for Internet connectivity. Through integration with the Blynk IoT platform, live data such as location and emergency alerts can be transmitted to caregivers or family members, enhancing response in critical situations.
By combining sensor-based navigation, fall detection, and real-time location sharing, the Smart Blind Stick aims to significantly improve the independence, confidence, and safety of visually disabled individuals in their daily lives.


Objectives:
1. To design and develop a smart blind stick using Arduino Uno that aids visually impaired persons in obstacle detection and navigation.
2. To integrate ultrasonic sensors for real-time detection of nearby obstacles and provide voice alerts using a voice playback module.
3. To include an accelerometer to detect falls or unusual movements and trigger alerts.
4. To implement GPS functionality for tracking the user’s location in case of emergencies.
5. To enable remote monitoring of the user's status through the ESP8266 Wi-Fi module and the Blynk mobile application.
6. To ensure ease of use by providing audio feedback and a compact, lightweight, and affordable design.