A sophisticated ESP32-based robot car with real-time video streaming, complete remote control capabilities, and a responsive web interface.
Features • Components • Setup • Usage • Troubleshooting
This advanced robotics project implements a fully-featured ESP32-controlled car with live camera streaming capabilities. It combines hardware engineering and web technologies to create an interactive remote-control experience through a browser-based interface. The system enables real-time control over movement, camera orientation, lighting, and speed adjustments via WebSocket communication.
| 🎮 Movement Control | 📹 Camera System | 💡 Special Features | 🌐 Connectivity |
|---|---|---|---|
| Forward/Backward motion | Pan & Tilt mechanism | Adjustable LED lighting | WebSocket communication |
| Precision steering | Live video streaming | Variable speed control | Wi-Fi access point |
| Electronic braking | Adjustable viewing angles | Real-time feedback | Browser-based interface |
| Smooth acceleration | Optimized frame rate | Low latency response | Mobile compatibility |
- ESP32 Development Board: Central microcontroller
- ESP32-CAM Module: Live video streaming
- L298N Motor Driver: DC motor control
- Dual DC Motors: Drive system
- Servo Motors (2x): Camera pan & tilt control
- Power Supply: 7.4V LiPo battery recommended
- Voltage Regulator: 5V output for servos and logic circuits
- Robot Chassis: Mounting platform for all components
- Jumper Wires: Connection between components
- Breadboard: Circuit prototyping
- Capacitors: Power stabilization
- Resistors: Signal conditioning
Circuit Diagram: Connection overview for ESP32 Car components
Microcontroller: ESP32 (Dual-Core, 240MHz)
Wi-Fi: 2.4GHz IEEE 802.11 b/g/n
Camera: OV2640 2MP sensor
Motor Driver: L298N H-Bridge
Operating Voltage: 5-12V
Control Range: ~50 meters (open space)
Video Resolution: SVGA (800x600)
Frame Rate: 20-25 FPS
- Arduino IDE (Download)
- ESP32 Board Support Package
- Required Libraries:
ESPAsyncWebServerAsyncTCPESP32Servoesp_camera.h
# Add ESP32 board support URL in Arduino IDE Preferences
https://dl.espressif.com/dl/package_esp32_index.json
# Install ESP32 board via Board Manager
Tools > Board > Boards Manager > Search "ESP32" > Install# Install via Arduino Library Manager
ESP32Servo
# Install manually (via ZIP)
ESPAsyncWebServer - https://github.com/me-no-dev/ESPAsyncWebServer
AsyncTCP - https://github.com/me-no-dev/AsyncTCP# Clone repository
git clone https://github.com/alok-devforge/Arduino-Based-ESP32-Car.git
# Open main sketch in Arduino IDE
code.ino
# Select correct board and port
Tools > Board > ESP32 Dev Module
Tools > Port > [Your ESP32 Port]
# Upload sketch
Sketch > Upload| 1️⃣ Power On | 2️⃣ Connect | 3️⃣ Control | 4️⃣ Advanced |
|---|---|---|---|
| Connect battery | Join "MyWiFiCar" network | Access http://192.168.4.1 | Adjust camera angles |
| Switch ON | Password: "12345678" | Use directional buttons | Control speed & lights |
Arduino-Based-ESP32-Car/
├── code.ino # Main Arduino sketch
├── README.md # Project documentation
├── LICENSE # MIT License
├── hardware/ # Circuit diagrams & schematics
├── software/ # Libraries & dependencies
└── assets/ # Images & UI resources
| Issue | Possible Causes | Solutions |
|---|---|---|
| Camera not initializing | Connection issues, Power problems | Check pins, Verify power supply |
| Motors not responding | Driver connections, Pin assignments | Verify wiring, Check code pins |
| Web interface not loading | Wi-Fi connection, Server issues | Confirm network connection, Check serial monitor |
| Slow video feed | Resolution too high, Network issues | Reduce jpeg_quality, Optimize frame_size |
| Erratic movement | Motor driver issues, Voltage sag | Check wiring, Ensure adequate power supply |
We welcome contributions to enhance this project! Here's how you can help:
- Fork the repository
- Create a feature branch:
git checkout -b feature/amazing-feature - Commit changes:
git commit -m 'Add amazing feature' - Push to branch:
git push origin feature/amazing-feature - Submit a Pull Request
Guidelines: Please maintain code quality, thoroughly test changes, and provide detailed commit messages.
This project is licensed under the MIT License - see the LICENSE file for details.
- Autonomous Navigation - Obstacle avoidance and path planning
- Voice Control - Speech recognition for commands
- Advanced Telemetry - Battery monitoring and system diagnostics
- Mobile App - Dedicated control application
- Machine Learning - Object recognition capabilities
Made with ❤️ by alok-devforge
If you find this project helpful, please consider giving it a ⭐️
Last updated: 2025-04-28 18:16:51