Treffer: INTELLIGENT TRAFFIC SIGNAL CONTROL SYSTEM FOR AMBULANCE USING IOT-INTERNET OF THINGS

This project presents the design and implementation of a Raspberry Pi-based obstacle avoiding robot, which serves as a low-cost and efficient solution for autonomous navigation in unknown environments. The primary objective of the system is to detect obstacles in its path and dynamically alter its direction to avoid collisions, enabling the robot to move safely and independently. The core processing unit of the robot is the “Raspberry Pi Model 3” a powerful yet compact single-board computer that enables real-time decision making based on sensor inputs. An “ultrasonic sensor” is mounted at the front of the robot and is used to detect objects by transmitting high-frequency sound waves and calculating the time delay of the returning echo. When the sensor identifies an object within a certain distance threshold, the Raspberry Pi processes the input and sends signals to the “L298N motor driver module”, which controls two “DC motors” connected to the wheels. Based on the proximity data, the robot can either move forward, stop, or change direction (turn left or right), thereby avoiding obstacles effectively. The robot's behavior is governed by a Python program running on the Raspberry Pi, which continuously reads sensor data, interprets distance, and makes logical decisions to adjust motor movements. This seamless interaction between hardware and software components demonstrates fundamental concepts of “embedded systems", “sensor integration”, and “autonomous robotics”.The proposed system is scalable and can be enhanced by integrating additional sensors, a camera module, or machine learning for improved path planning. This project is particularly suitable for students, hobbyists, and researchers interested in robotics and real-time embedded applications. Keywords- Raspberry Pi Model 3, Ultrasonic Sensor, L298N Motor Driver, DC Motors, Autonomous Navigation.