Project Overview
This project involves the design and implementation of a low-cost, scalable Obstacle Detector Circuit using an Arduino Uno microcontroller. The system is designed to sense objects in its environment and provide real-time alerts through visual (LED) and auditory (buzzer) indicators. A key feature is the integration of a servo motor to enable the ultrasonic sensor to scan a wider area, addressing the limitations of fixed-position systems.
Components Used
| Component | Quantity |
|---|---|
| Arduino Uno | 1 |
| HC-SR04 Ultrasonic Sensor | 1 |
| Servo Motor | 1 |
| Buzzer | 1 |
| LEDs | 3 |
| Breadboard | 1 |
| Jumper Wires | - |
Key Features
Obstacle Sensing: Detects obstacles using an HC-SR04 ultrasonic sensor.
Wider Coverage: A servo motor rotates the sensor to scan a 180° range.
Real-time Alerts: Provides visual alerts via LEDs and auditory warnings with a buzzer.
Distance Display: Shows real-time obstacle distance on a 16x2 LCD display.
Low-cost & Scalable: Uses readily available and inexpensive components, making it suitable for educational and small-scale applications.
Technical Implementation
The system's core is the Arduino Uno, which processes data from the HC-SR04 sensor. The sensor emits an ultrasonic pulse and measures the time it takes for the echo to return to calculate the distance to an object. This distance data is then used to control the outputs: a servo motor for scanning and a buzzer and LEDs for alerts. The code synchronizes the sensor data with the servo's motion and triggers alerts based on calibrated thresholds, such as an alert for obstacles within 20cm. Performance analysis showed an accuracy of ±1cm within a 2-meter range and a response time of less than 100 milliseconds.
Project Outcomes & Societal Impact
The project successfully demonstrated an effective sensor-based system that is accurate and efficient. It serves as a functional prototype for real-world applications in robotics, autonomous vehicles, and assistive technologies for the visually impaired. The affordable and low-power design also makes it accessible for educational purposes and beneficial for developing areas.
Applications
Robotics and Automation: This circuit can be used in robots to improve safety by detecting obstacles and preventing collisions in industrial environments.
Assistive Technology: The system can assist visually impaired individuals in navigating safely by providing real-time hazard alerts.
Autonomous Vehicles: The obstacle detection functionality serves as a foundation for more complex autonomous navigation systems.
Educational Tool: The low-cost and scalable design makes the circuit an ideal learning tool for students studying electronics and embedded systems.