OH WEN JIE INTI INTERNATIONAL COLLEGE PENANG
This project presents the development of an IoT-enabled autonomous robot vacuum cleaner with smart navigation, automatic dust detection, and real-time monitoring capabilities. The system uses ultrasonic and infrared sensors for obstacle avoidance, achieving 96.5% navigation accuracy, while the GP2Y1014AU dust sensor automatically adjusts suction power based on dust concentration with 93% detection accuracy. An ESP32 microcontroller integrates the hardware and communicates with the Blynk mobile application, allowing users to monitor battery level, control cleaning modes, and access the “Find My Robot” feature remotely. Overall, the project demonstrates a low-cost, efficient, and user-friendly smart cleaning solution suitable for modern home environments.