Hardware & IoT

Obstacle Detector Circuit

An electronic circuit for real-time obstacle sensing, hazard warning, and physical range scanning.

Obstacle Detector Circuit Showcase

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 Utilized

Component Quantity
Arduino Uno Microcontroller 1
HC-SR04 Ultrasonic Sensor 1
Servo Motor (SG90) 1
Piezo Buzzer 1
Warning LEDs (Green, Yellow, Red) 3
Breadboard & Jumper Cables 1 Set

Key Features

Distance Ranging: Employs high-precision HC-SR04 sonar pulses to estimate target distances.
180° Range Sweeping: Servomotor dynamically pans the sonar head for ultra-wide field detection.
Visual & Audio Alarm: Multi-colored LEDs and active buzzers signify close-proximity warnings.
Live Display: Pushes immediate millimeter data to an integrated 16x2 LCD screen module.
Modular Codebase: Programmed in modular embedded C/C++ supporting expansion sensors.

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.

Real-World Applications

Robotics Collision Avoidance: Keeps autonomous vehicles from hitting boundaries.
Blind-Spot Assist: Offers navigational aides for visually impaired individuals.
Automated Factory Cart: Avoids hazards in standard warehouse paths.
Embedded Systems Practice: Provides a reliable baseline learning tool for engineering students.

Project Demonstration