https://github.com/abdur-rahim-mygit/arduino-iot-project
This project showcases a multi-functional robotic car designed for versatility and efficiency. Controlled via Bluetooth, IR remote, and autonomous modes, it integrates cutting-edge IoT components like Arduino, IR sensors, ultrasonic sensors, and an L298 motor driver. The car performs tasks like manual control, line following, and obstacle avoidance
https://github.com/abdur-rahim-mygit/arduino-iot-project
android-application arduino-library arduino-project arduino-uno iot-application iot-device sensors
Last synced: 4 months ago
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This project showcases a multi-functional robotic car designed for versatility and efficiency. Controlled via Bluetooth, IR remote, and autonomous modes, it integrates cutting-edge IoT components like Arduino, IR sensors, ultrasonic sensors, and an L298 motor driver. The car performs tasks like manual control, line following, and obstacle avoidance
- Host: GitHub
- URL: https://github.com/abdur-rahim-mygit/arduino-iot-project
- Owner: Abdur-Rahim-MyGit
- Created: 2024-12-26T08:16:09.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-26T08:55:00.000Z (6 months ago)
- Last Synced: 2025-03-04T16:16:51.671Z (4 months ago)
- Topics: android-application, arduino-library, arduino-project, arduino-uno, iot-application, iot-device, sensors
- Language: C++
- Homepage:
- Size: 8.38 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# **IoT Project: Multi-functional Robotic Car**
## **β¨ Overview**
This project showcases a **multi-functional robotic car** designed for versatility and efficiency. Controlled via **Bluetooth**, **IR remote**, and **autonomous modes**, it integrates cutting-edge IoT components like **Arduino**, **IR sensors**, **ultrasonic sensors**, and an **L298 motor driver**. The car performs tasks like **manual control**, **line following**, and **obstacle avoidance**, making it a perfect project for learning and practical applications.---
## **π§ Features**
1. **π Manual Control Mode**
- Operated via a **Bluetooth-enabled Android app** or **IR remote**.
- Commands: *Forward, Backward, Left, Right, Stop*.2. **β‘ Line Following Mode**
- Detects and follows lines using **IR sensors**.
- Adapts seamlessly to black-and-white contrasts.3. **π¦ Obstacle Avoidance Mode**
- Uses **ultrasonic sensors** to detect and avoid obstacles.
- Smart maneuvering based on real-time distance analysis.4. **π€ Voice Commands**
- Supports voice-activated commands: *Left, Right, Stop*.5. **β³ Dynamic Speed Control**
- Adjustable speed settings via Bluetooth.6. **π Multi-sensor Integration**
- **IR sensors**: Line detection.
- **Ultrasonic sensors**: Obstacle detection.
- **Servo motor**: Scanning for obstacle-free paths.---
## **π Components Used**
- **Microcontroller**: Arduino
- **Motor Driver**: L298N
- **Sensors**:
- **Ultrasonic Sensor (HC-SR04)**: Obstacle detection
- **IR Sensors**: Line following
- **Actuators**:
- **Servo Motor**: Directional scanning
- **DC Motors**: Movement
- **Communication Modules**:
- **Bluetooth Module (HC-05)**
- **IR Receiver**---
## **π‘ Advantages**
1. **π‘ Versatile Control**: Manual, autonomous, and voice modes.
2. **π Energy Efficiency**: Optimized power usage.
3. **πΈ Cost-effective**: Uses affordable and widely available components.
4. **βοΈ Scalable Design**: Easily upgradable.
5. **π Educational Value**: Great for IoT, robotics, and embedded systems learning.
6. **π Practical Applications**: Ideal for warehouse automation, smart transportation, and more.---
## **βοΈ Setup Instructions**
1. **Connect Components:**
- Attach **DC motors** to the **L298N motor driver**.
- Link sensors and servo to appropriate Arduino pins.
2. **Upload Code:**
- Load the Arduino sketch into the microcontroller.
3. **Pair Devices:**
- Ensure Bluetooth and IR connections are paired correctly.
4. **Power Up:**
- Use a compatible battery pack to power the system.---
## **βοΈ Operation Modes**
- **Manual Mode:** Control using the Android app or IR remote.
- **Line Following Mode:** Place the car on a black-and-white line path.
- **Obstacle Avoidance Mode:** Test in environments with potential obstacles.---
## **π Potential Enhancements**
- Integration of **GPS** for navigation.
- Addition of a **Wi-Fi module** for remote control.
- Incorporation of a **camera** for object recognition.
- Use of **solar panels** for energy harvesting.---
## **π Project Code**
The complete Arduino code is included in this repository. Ensure you have the following libraries installed in your Arduino IDE:
- `SoftwareSerial.h`
- `IRremote.h`---
## **π Conclusion**
This **IoT-based robotic car** combines manual, voice, and autonomous control modes to deliver a versatile and practical solution. Itβs perfect for academic projects, IoT training, and real-world applications in automation and robotics.**Letβs innovate together!**