Design and Implementation of Smart Internet-Based Real-Time Control of Rover with Artificial Intelligence

This project aims to control a rover from a remote location in real-time by utilizing live video streaming. To achieve this, a rover is equipped with an ESP32 Camera module that broadcasts a live video feed. The movement of the rover is recorded through the live video feed and is displayed on an Android app. By employing the Blynk dashboard application, the live video stream can be used to remotely maneuver the vehicle. Additionally, sensor data from HC-SR04, DHT11, and MQ2 sensors is transmitted to the Blynk cloud. This data is then utilized to generate alerts regarding the temperature and potentially harmful emissions at the rover's distant location. The DHT11 and ESP32 communicate using the single wire protocol for data transfer.