DIY Autonomous Fire Fighting Robot with ESP32-CAM and Bluetooth Control by Bigyan Project
Elevate your robotics projects with the cutting-edge DIY Fire Fighting Robot from Bigyan Project. This advanced, intelligent robot is engineered for autonomous operation, capable of detecting and responding to fires while navigating complex environments. Seamlessly switch between automated fire suppression and manual control via Bluetooth using our intuitive mobile application. The integrated ESP32-CAM provides a live video stream directly to your mobile device or laptop, offering real-time situational awareness. Designed for hobbyists, educators, and researchers, this robot is a powerful platform for exploring automation, AI, and safety systems. Let Bigyan Project empower your next innovation.
Product Specifications
Component |
Details |
Main Controller |
ESP32 WiFi And Bluetooth Development Board |
Auxiliary Controller |
Arduino Nano R3 Board (for 5V sensor interfacing) |
Vision System |
ESP32-CAM WiFi Board with OV2640 Camera Module |
Fire Detection Sensors |
3 x Flame Sensor Module (Left, Middle, Right) |
Obstacle Detection Sensors |
3 x HC-SR04 Ultrasonic Sensor Module (Left, Middle, Right) |
Actuation for Water Spray |
Mini Submersible Water Pump, 6mm Inner Dia PVC Pipe |
Water Direction Control |
2 x MG90S Metal Gear Servo Motor (180°) |
Pump Control Circuit |
D882 NPN Transistor, 1k Ohm 0.25W Resistor, 25V Capacitor, 4007N Diode |
Locomotion Motors |
4 x 100 RPM 3-6V TT Dual Shaft DC Yellow BO Gear Motor |
Wheels |
4 x 65mm Robot Wheel for BO Motor |
Motor Driver |
L298N Motor Driver Module |
Chassis Material |
5MM Plastic PVC Board |
Main Power Source |
4 x 18650 Rechargeable 3.7V Solderable Li-Ion Battery |
Battery Holder |
4 Chamber 18650 Battery Holder |
Battery Charging Module |
4 Battery 16.8V Type-C 4A Lithium Battery Charging Module |
Voltage Regulation |
2 x LM2596 Buck Converter – DC Step-Down Module (for 12V and 5V) |
Master Power Switch |
3 Pin SPDT Rocker Switch |
Wiring |
1.6mm Slim 22AWG Cable |
Assembly Adhesive |
Large Glue Gun Sticks |
Features
- Autonomous operation for intelligent fire detection and response.
- Multi-directional flame sensing for comprehensive fire detection.
- Advanced obstacle avoidance using multiple ultrasonic sensors for safe navigation.
- Real-time live video streaming via ESP32-CAM to mobile phones and laptops.
- Dual control modes: fully automated and manual Bluetooth control via a dedicated app.
- Precise water spray control with adjustable direction using servo motors.
- Robust chassis built from durable 5MM Plastic PVC Board.
- Powerful TT gear motors for reliable locomotion.
- Efficient power management with 18650 Li-Ion batteries and Type-C charging.
- Dual voltage regulation for microcontroller and motor requirements.
- Easy assembly with provided components and common adhesives.
- Designed for customization and further development by users.
- Ideal educational tool for STEM learning, robotics, and AI.
Applications / Use Cases
- Educational robotics kits for schools and universities.
- Advanced DIY robotics projects for hobbyists.
- Demonstration of autonomous systems and AI principles.
- Research platforms for fire detection and suppression technologies.
- Developing safety monitoring robots for small environments.
- Interactive science projects showcasing sensor integration and control.
- Competitive robotics events and challenges.
- Simulating emergency response scenarios.
User Guide / How to Use
- Assemble the robot according to the provided component list, using the PVC board as the chassis and glue gun sticks for secure attachment.
- Connect all sensors, motors, and modules to the ESP32 Dev Board and Arduino Nano R3 as per the circuit diagram (typically provided with the kit or downloadable). Ensure correct polarity.
- Install the 18650 batteries into the holder and connect them to the charging module for initial charge.
- Connect the battery holder's output to the main power switch, then to the L298N motor driver and the LM2596 converters.
- Wire the LM2596 converters to supply regulated 12V to the L298N and 5V to the Arduino Nano R3, ESP32-CAM, and sensors.
- Upload the appropriate firmware to the ESP32 Dev Board and Arduino Nano R3. Firmware for autonomous navigation, fire detection, and Bluetooth control will be provided or available for download.
- Install the companion mobile application on your smartphone to pair with the robot via Bluetooth.
- Power on the robot using the main rocker switch.
- In auto mode, the robot will begin obstacle avoidance and monitor for fire.
- In manual mode, use the app to control movement (forward, backward, left, right) and manually trigger the water pump or adjust spray direction.
- Access the live video stream through the app or by navigating to the ESP32-CAM's IP address on your laptop.
- Monitor battery levels and recharge as needed using the Type-C charging module.
Frequently Asked Questions (FAQs)
- Q: What is the primary function of this robot?
A: This robot is designed for autonomous fire detection and suppression, with the added capabilities of obstacle avoidance and manual Bluetooth control, making it a versatile platform from Bigyan Project.
- Q: How does the fire detection system work?
A: It uses three flame sensor modules positioned at the left, middle, and right of the robot to detect the presence and general direction of a fire.
- Q: Can I control the robot remotely?
A: Yes, the robot supports Bluetooth control via a dedicated mobile application, allowing you to manually drive the robot and operate the water pump.
- Q: How is the live video feed accessed?
A: The live video stream from the ESP32-CAM can be accessed through the companion mobile app or by connecting to the ESP32-CAM's IP address on a laptop connected to the same network.
- Q: What is the range of the ultrasonic sensors?
A: The HC-SR04 ultrasonic sensors typically have a detection range of about 2cm to 400cm (0.02m to 4m), providing ample room for obstacle detection.
- Q: How is the water pump controlled?
A: The water pump is controlled using a D882 NPN transistor, triggered by a 5V logic signal from the Arduino Nano R3, ensuring efficient operation.
- Q: What type of batteries are used, and how are they charged?
A: The robot uses four 18650 Li-Ion batteries, which are charged via a 16.8V Type-C 4A Lithium Battery Charging Module, offering convenient USB-C charging.
- Q: Can I modify or expand this robot's capabilities?
A: Absolutely. This DIY kit from Bigyan Project is designed with expandability in mind. You can integrate additional sensors or actuators to further enhance its functionality.
- Q: What is the purpose of the two LM2596 buck converters?
A: They are essential for stepping down the battery voltage to provide the correct 12V for the DC motors and 5V for the microcontrollers and sensors, ensuring stable operation.
Challenges and Considerations
- Accurate calibration of flame sensors may be required in varying ambient light conditions.
- The effective range of ultrasonic sensors can be affected by soft or angled surfaces.
- Water tank capacity will limit the duration of continuous water spraying.
- Ensuring proper waterproofing for electronic components, especially the pump and its connections, is crucial.
- Battery life will depend on usage patterns and motor load.
- Firmware requires uploading and potentially some configuration for optimal performance.
- Effective thermal management for components like the L298N driver might be needed for prolonged high-load operations.
Compatibility
- Compatible with Android and iOS devices for Bluetooth control and live video streaming via the dedicated app.
- Works with most common USB-C chargers for battery recharging.
- The ESP32 and Arduino Nano platforms are compatible with a wide range of development environments like Arduino IDE and PlatformIO.
- Interoperable with standard RC (Radio Control) components if firmware is modified.
Future Enhancement Options
- Integration of a more advanced AI for pathfinding and fire localization.
- Adding a water level sensor to the tank.
- Incorporating a thermal camera for more precise fire detection.
- Upgrading to higher-capacity batteries for extended operation.
- Implementing Wi-Fi control in addition to Bluetooth for longer-range remote operation.
- Adding a small robotic arm for manipulating objects or opening doors.
- Development of an even more sophisticated mobile application with custom UI features.
Benefits
- Provides hands-on learning experience in robotics, electronics, and programming.
- Enhances safety awareness and demonstrates practical applications of technology.
- Offers a versatile platform for experimentation and innovation.
- Cost-effective solution for educational institutions and DIY enthusiasts.
- Promotes problem-solving skills and critical thinking.
- Enables remote monitoring and control in potentially hazardous situations.
- The dual-mode functionality offers flexibility and user-friendliness.
Conclusion
The DIY Fire Fighting Robot from Bigyan Project is a comprehensive and intelligent solution for learning and applying robotics and automation. Combining autonomous fire detection, obstacle avoidance, remote control, and live video streaming, this robot offers an unparalleled educational and project-building experience. Whether for academic purposes, personal projects, or showcasing technological innovation, this robot stands out as a powerful and versatile tool. Explore the future of robotics with Bigyan Project.
Keywords
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Important Information
The product details on this page are collected from multiple reliable sources to provide you with the best information. However, minor discrepancies may occur. We recommend thoroughly checking the product labels, instructions, and warnings before use.
Note: Images shown are for illustration purposes only and may slightly differ from the actual product.
What is the price of Fire Fighter Robot ESP32-CAM Auto Obstacle Avoid in Bangladesh (BD)?
The latest price of Fire Fighter Robot ESP32-CAM Auto Obstacle Avoid in Bangladesh is ৳15,000 Taka. You can buy the Fire Fighter Robot ESP32-CAM Auto Obstacle Avoid at best price from বিজ্ঞান প্রজেক্ট.