Published Paper Details:

The main goal of this project is to help visually impaired people by designing and implementing an Internet of Things (IoT)-based real-time obstacle detection and alert system. The system makes use of the Blynk IoT platform for user interaction and remote monitoring, as well as the ESP8266 Node MCU microcontroller for connectivity and processing. The project's main component is an ultrasonic sensor that calculates the user's distance from nearby obstacles. The user is immediately alerted to possible danger by a buzzer that sounds when an object is detected within a predetermined threshold (20 cm). The system has a push-button-based manual alert mechanism in addition to automatic detection. The system sends a status update to the Blynk mobile app via virtual pins (V1 and V2) when the button is pressed, registering it as a "PROBLEM" state. Users can easily alert guardians or caregivers to distress situations with the help of this functionality. Additionally, through the Blynk dashboard, remote users can access status updates from the device from any location thanks to the system's support for real-time Wi-Fi-based communication. The user's safety and independence can be increased by integrating extra features like voice alerts, location tracking, or even emergency contact notifications with this configuration.