Smart vision sense rover

This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor-driven decision making for navigation. The ultrasonic sensor continuously actions the distance to adjacent obstacles, while the servo motor replaces the sensor across left and right directions to obtain multi-directional environmental material. Based on the collected distance data, the Arduino executes a decision algorithm to determine robot movement: moving forward when the path is clear, stopping when an obstacle is detected, and turning left or right dependent on which side offers a free path. The L298N motor driver provides turning and power control to the motors for smooth and stable mobility. Additionally, the ESP32-CAM module delivers live video flowing,remote visual supervision of the robot’s surroundings. The overall system is low-cost, energy-efficient, and laidback to construct, production it highly suitable for educational, surveillance, and self-directed navigation claims. Experimental results reveal that the robot performs reliably in real-time environments, showcasing active obstacle detection, path choice, and unremitting video monitoring.