*PROJECT TITLE: SMART 180° SCANNING OBSTACLE AVOIDING ROBOT FOR ASSISTIVE NAVIGATION**1. INTRODUCTION*In today's world, autonomous systems are playing a major role in assisting humans. One of the major problems faced by visually impaired and elderly people is safe navigation without colliding with obstacles. Our project addresses this problem by developing a low-cost, intelligent, autonomous robot that can detect and avoid obstacles by itself without any human intervention.*2. PROBLEM STATEMENT*Blind people use a normal stick which can only detect obstacles after touching them. Existing automatic wheelchairs and robots are very costly (Rs. 15, 000 to Rs. 80, 000) and most of them have fixed sensors that can only see in one direction. This creates a need for an affordable robot that can scan the surroundings like a human and choose the safest path.*3. OBJECTIVE OF THE PROJECT*The main objectives are:a) To design and develop a fully autonomous obstacle avoiding vehicle.b) To implement 180-degree scanning mechanism for intelligent path decision.c) To create a low-cost prototype below Rs. 2000 for social applications.d) To demonstrate its use as an assistive device for blind and elderly people.*4. METHODOLOGY AND WORKING*The system works on the principle of *Ultrasonic Ranging and Servo Scanning*.The HC-SR04 ultrasonic sensor is mounted on an SG90 servo motor. The Arduino Uno is the main microcontroller.The working is divided into three stages:*Stage 1 - Sensing:* The HC-SR04 sensor emits a 40kHz ultrasonic sound wave. When this wave hits an obstacle, it reflects back. The sensor calculates the time taken for the echo to return and computes the distance using the formula: Distance = (Time x 343 m/s) / 2.*Stage 2 - Processing & Decision Making:* The Arduino Uno continuously receives distance data. If the distance in front is more than 20 cm, it commands the L298N motor driver to move forward. If the distance is less than 20 cm, it stops the robot. Then it triggers the servo to rotate to 0 degrees (right side) and measures the distance, then to 180 degrees (left side) and measures the distance. It compares both distances.*Stage 3 - Action:* If the left side has more free space, the Arduino commands the motors to turn left. If the right side is clearer, it turns right. After turning, it resumes moving forward. This entire cycle repeats every 100 milliseconds, making the robot react in real-time.*5. HARDWARE AND SOFTWARE REQUIREMENTS**Hardware:* Arduino Uno R3 (ATmega328P), HC-SR04 Ultrasonic Sensor, SG90 Micro Servo Motor (9g), L298N Dual H-Bridge Motor Driver, BO DC Gear Motors (200 RPM) x 2, Yellow Plastic Wheels, Acrylic Chassis 20x12cm, 18650 Li-ion Batteries 3.7V x 2 with holder, Jumper Wires, Breadboard.*Software:* Arduino IDE for programming in C++, Embedded C language for logic implementation.*6. CIRCUIT DESCRIPTION*The Arduino is powered by 7.4V from the batteries through the Vin pin. The L298N motor driver receives direct 7.4V for motors and provides regulated 5V to the Arduino. The ultrasonic sensor's Trig pin is connected to Digital Pin 9 and Echo to Digital Pin 10 of Arduino. The servo's PWM signal wire is connected to Digital Pin 11. The motor driver's input pins IN1, IN2, IN3, IN4 are connected to Digital Pins 2, 3, 4, 5 respectively for direction control.*7. RESULTS AND OBSERVATIONS*During testing, the robot successfully detected obstacles from 2cm to 150cm with an accuracy of ±1cm. The 180-degree scanning increased the success rate of avoiding obstacles from 70% (fixed sensor) to 95%. The robot can run continuously for 45 minutes on full charge and can carry a payload of up to 500 grams. The turning time is less than 1.2 seconds.*8. ADVANTAGES*1. Fully autonomous - No remote or mobile needed.2. Intelligent decision making - Scans and chooses best path.3. Very low cost and uses easily available components.4. Easy to repair and upgrade.5. Rechargeable and energy efficient.*9. LIMITATIONS*1. Cannot detect very small or transparent objects like glass.2. Performance reduces in direct sunlight for some sensors (not major for ultrasonic).3. Cannot detect pits, stairs, or holes - needs IR sensor addition.*10. FUTURE SCOPE*This prototype can be upgraded into a real product. By adding a Bluetooth module (HC-05), it can be controlled by mobile. By adding a camera with AI image processing, it can recognize humans and objects. By adding voice module, it can give voice alerts to blind people like "Obstacle ahead, turning left". In future, this can be converted into a smart wheelchair costing less than Rs. 5000.*11. CONCLUSION*The Smart Obstacle Avoiding Robot is a successful implementation of embedded systems and robotics for social good. It proves that advanced autonomous technology can be made affordable for common people. This project not only demonstrates technical skills in Arduino, sensors, and motor control, but also shows empathy towards solving real problems faced by disabled people.
Obstacle avoiding robot
To help blind and elderly people to move safely without hitting obstacles. Low cost automatic vehicle that scans and avoids obstacles by its
1 project • 5 followers
I am studying 9th std, i made this project about 6 month, prevent the road accident,here made this project in the future to avoid accident
Thanks to Shreesh, sai, ashwin, manoj .


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