DFRobot FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with Camera (Wi-Fi & Bluetooth on Board)

The DFRobot FireBeetle 2 Board ESP32-S3 (N16R8) is a powerful dual-core AIoT microcontroller featuring integrated Wi-Fi and Bluetooth connectivity with an onboard camera module, designed for edge AI applications and IoT projects requiring real-time image processing. Professional developers and embedded systems engineers use this board for computer vision tasks, smart home automation, industrial monitoring, and machine learning inference at the edge where low latency and power efficiency are critical. This solution eliminates the need for external communication modules and camera breakout boards, solving the complexity of integrating multiple components while maintaining a compact form factor ideal for space-constrained deployments.

Product Overview

The FireBeetle 2 Board ESP32-S3 (N16R8) leverages the Xtensa dual-core 32-bit processor running at 240 MHz with 16MB of Flash memory and 8MB of PSRAM, enabling sophisticated machine learning models and real-time image processing directly on the microcontroller. The integrated OV2640 camera module captures 1600x1200 resolution images, while the dual-band Wi-Fi (802.11 b/g/n) and Bluetooth 5.0 LE provide robust wireless connectivity for cloud integration and edge computing scenarios. This architecture eliminates latency associated with sending raw image data to cloud servers, allowing time-critical applications like object detection, facial recognition, and anomaly detection to execute locally with sub-100ms response times.

The board features DFRobot's FireBeetle design philosophy with ultra-low power consumption modes, achieving standby currents below 10µA through intelligent sleep state management and dynamic voltage scaling. The N16R8 variant specifically provides the optimal balance between processing capability and power envelope for battery-powered AIoT applications, with integrated lithium battery charging circuitry supporting 500mA charging current. The onboard USB Type-C interface facilitates rapid firmware development and debugging through UART communication, while the 30-pin expansion header exposes SPI, I2C, UART, ADC, and GPIO interfaces for sensor integration and peripheral control.

Key Specifications

Specification	Details
Product Type	AIoT Microcontroller Board with Integrated Camera
Brand	DFRobot
Origin	Original/Authentic
Warranty	7 days on manufacturing defects
Shipping	1-5 days from Bengaluru
Delivery	7-8 days across India
Support	24/7 via Email and WhatsApp
Processor	Xtensa Dual-Core 32-bit @ 240 MHz
Flash Memory	16MB
PSRAM	8MB
Camera Module	OV2640, 1600x1200 Resolution
Wireless Connectivity	Wi-Fi 802.11 b/g/n + Bluetooth 5.0 LE
Power Supply	USB Type-C (5V) or Lithium Battery
Operating Current	80-160mA (Active), Less than 10µA (Sleep)

Key Features

• Integrated OV2640 Camera Module with 1600x1200 resolution enabling direct image capture and processing for computer vision applications without external camera breakout boards
• Dual-Core Xtensa Processor at 240 MHz with 16MB Flash and 8MB PSRAM supporting complex machine learning inference and real-time image processing algorithms
• Dual-Band Wi-Fi (802.11 b/g/n) and Bluetooth 5.0 LE connectivity for simultaneous cloud synchronization and local peer-to-peer device communication
• Ultra-Low Power Architecture with sub-10µA sleep current and dynamic voltage scaling enabling 6-12 month battery operation in monitoring applications
• 30-Pin Expansion Header exposing SPI, I2C, UART, ADC, and GPIO for seamless integration with environmental sensors, actuators, and peripheral devices
• USB Type-C Interface with integrated UART debugging and 500mA lithium battery charging circuitry for rapid development and field deployment

Applications and Use Cases

• Smart Security Systems: Deploy real-time facial recognition and motion detection with local processing, triggering instant alerts without cloud dependency or privacy concerns
• Industrial Predictive Maintenance: Monitor equipment status through embedded computer vision, detecting anomalies in machinery operation and transmitting alerts via Wi-Fi to maintenance teams
• Agricultural IoT Monitoring: Capture crop health imagery, analyze plant stress indicators locally, and transmit aggregated data to cloud platforms for yield optimization
• Smart Home Automation: Enable intelligent camera-based presence detection, gesture recognition, and environmental monitoring with local processing for responsive automation triggers
• Medical Wearables and Health Monitoring: Process biometric sensor data and perform local health analytics with Bluetooth transmission to mobile applications for continuous wellness tracking
• Robotics and Autonomous Navigation: Provide onboard vision processing for obstacle detection and path planning in mobile robots with real-time decision-making capability

How to Use

Begin by installing the Arduino IDE or MicroPython environment with DFRobot's FireBeetle 2 board support package, then connect the board via USB Type-C to your development machine. The onboard CH340 USB-to-UART converter automatically provides serial communication for firmware upload and debugging output. Configure the Wi-Fi credentials and camera parameters in your sketch, utilizing DFRobot's provided camera libraries which handle OV2640 initialization, image capture, and JPEG compression with minimal code overhead. The PSRAM enables buffering of full resolution images before transmission, critical for applications requiring edge processing before cloud upload.

For battery-powered deployments, implement sleep mode transitions using the RTC timer to wake the processor at defined intervals, capture images, perform inference, and return to low-power states. The Bluetooth interface enables direct mobile app communication for configuration and real-time preview, while Wi-Fi handles bulk data transfer and cloud synchronization. Leverage the 30-pin header to connect environmental sensors via I2C or SPI, creating multi-modal sensor fusion applications that combine vision with temperature, humidity, or pressure data for comprehensive environmental intelligence.

Frequently Asked Questions

What image processing libraries are compatible with the FireBeetle 2 ESP32-S3?

The board supports TensorFlow Lite Micro for quantized machine learning models, OpenCV for traditional computer vision algorithms, and MicroPython with specialized image processing modules. DFRobot provides optimized libraries for common tasks like face detection, motion detection, and QR code recognition. The 16MB Flash and 8MB PSRAM allow deployment of models with up to 2-3 million parameters for real-time inference at 10-30 FPS depending on model complexity and image resolution.

How long can the board operate on a single lithium battery charge?

Battery life depends on operational duty cycle and sleep configuration. In continuous operation with Wi-Fi active, expect 4-6 hours from a standard 2000mAh battery. With intelligent sleep scheduling capturing images every 5 minutes and transmitting every 30 minutes, battery life extends to 4-6 weeks. The board supports batteries up to 5000mAh, and the 500mA charging circuit enables full recharge in 4-10 hours depending on battery capacity.

Can the camera module be replaced or upgraded to a higher resolution sensor?

The OV2640 camera is soldered directly to the board and not user-replaceable. However, the SPI and I2C interfaces on the expansion header allow connection of external camera modules like OV5640 (5MP) or OV7670 (VGA) through additional breakout boards, though this requires custom driver development and consumes additional GPIO resources and power.

What is the maximum Wi-Fi transmission range and data rate?

The integrated Wi-Fi module achieves 100+ meters open-space range with line-of-sight conditions, reducing to 20-30 meters through standard building walls. Data rates reach 150 Mbps in optimal conditions, though real-world performance typically stabilizes at 20-50 Mbps depending on signal strength and interference. The dual-band capability allows selection of 2.4GHz for range or 5GHz for higher bandwidth in proximity applications.

When will I receive my order?

Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.

What is your return and warranty policy?

We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.

Are bulk discounts available?

Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.

Why Buy from The Engineer Store

• Genuine Products: Sourced directly from authorized distributors with authentication
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• Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
• Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
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• Technical Support: 24/7 expert guidance via email and WhatsApp
• Returns: 7-day return policy on manufacturing defects only

Buy DFRobot FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with Camera (Wi-Fi and Bluetooth on Board) Online in India

Purchase the DFRobot FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller with Camera (Wi-Fi and Bluetooth on Board) online at The Engineer Store, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on DFRobot FireBeetle