Node MCU-based Obstacle Avoiding Car

Abstract

The utilization of autonomous technology for performing important tasks is increasing due to its high efficiency and reliability. Our proposed autonomous vehicle is designed to be equipped with the capability to detect obstacles in its path, adjust its route to avoid any potential collisions, and eventually reach its destination. The ultrasonic sensors play a crucial role in this setup by providing the vehicle with the necessary information to detect obstacles in its path. The experiments conducted to test the vehicle’s performance in obstacle detection and collision avoidance produced impressive results, with 100% accuracy, sensitivity, and precision for directional movement, and 70% to 85% accuracy and sensitivity for obstacle detection in the correct direction. The vehicle is powered by a Node MCU, which serves as the central intelligence unit and controls all its functions. The ultrasonic sensors are integrated with the Node MCU to detect obstacles and make necessary adjustments in the vehicle’s route. The setup also includes the integration of cloud services through the Blynk app, which enhances the reliability and scalability of the model. In conclusion, the proposed autonomous vehicle system, which is composed of a Node MCU connected to a DC Motor and an Ultrasonic Sensor, offers a promising solution for obstacle detection and collision avoidance. The results of the experiments conducted demonstrate its impressive performance in obstacle detection and collision avoidance, and the integration of cloud services provides added benefits for reliability and scalability.