Remote Controled Car using Blynk IoT

Automation and control have greatly improved thanks to the Internet of Things (IoT), which makes it possible for physical devices and cloud platforms to connect seamlessly. In this study, a remote-controlled robotic car with a GPS module for real-time mobility and location tracking, an ESP32 microcontroller, and a Blynk IoT platform is designed and implemented. The Blynk mobile application, which sends directional commands via Wi-Fi, enables users to wirelessly control the robot's movement. These commands are processed by the ESP32, which uses PWM signals to drive DC motors and provide smooth motion in all directions. Tracking capabilities are improved by the integrated GPS module, which offers real-time location updates within the same interface. Accurate location feedback, responsive control, and consistent connectivity were validated through experimental evaluation. An approach to mobile robotics that is affordable, scalable, and easy to use, the suggested IoT-based design shows how IoT can improve flexibility and functionality in remotely controlled systems and is appropriate for automation, education, and surveillance applications.