An Iot-Based Automated Car Lift System With Real-Time Monitoring Via Blynk And Oled Display

Abstract

This project aims to develop an IoT-based automated car lift system that responds to rising floodwaters, reducing the risk of vehicle damage in low-lying parking areas. The objective is to create a functional prototype capable of real-time flood detection, automatic car elevation, and remote monitoring. The system integrates a water level sensor, ultrasonic sensor, DC motor, OLED display, and LED indicators, all controlled by a WeMos D1 R32 microcontroller. The Blynk mobile application was configured to display flood severity, the distance between the car and the ultrasonic sensor, a manual control button to lower the car, and to send instant alerts when the water level reaches a critical threshold. The prototype was developed and programmed using the Arduino IDE. In testing under simulated flood conditions, the water level sensor successfully identified multiple flood stages and activated the lifting mechanism accordingly. The ultrasonic sensor ensured controlled elevation to avoid over-lifting. Real- time data was displayed on both the OLED screen and Blynk app, with colored LEDs providing quick visual alerts. Results indicate that the system functions reliably and responds promptly to flood conditions. In conclusion, the prototype demonstrates strong potential for real-world application with further improvements in hardware durability, system scalability, and environmental adaptability.