FireBeetle 2 Board ESP32-S3-U (N16R8) AIoT Microcontroller with Camera (16MB Fl., 8MB PS., Wi-Fi & BT via Cable)

FireBeetle 2 ESP32-S3-U is a high-performance main controller featuring the ESP32-S3-U-WROOM-1-N16R8 module. It includes a 240 MHz Xtensa® dual-core LX7 microprocessor with AI acceleration, 16MB Flash, and 8MB PSRAM. The board comes with a detachable OV2640 camera (2MP) and features an onboard camera interface with an independent power circuit. It supports dual-mode communication via WiFi (802.11 b/g/n) and Bluetooth 5 (LE), including Bluetooth Mesh and Matter protocols. It integrates power management for Li-ion battery charging. Peripherals include 26 digital I/O, an onboard GDI display interface, 3x UART, and 2x I2C. The board is programmable with Arduino IDE, ESP-IDF, and MicroPython.

Image Recognition

FireBeetle 2 ESP32-S3-U offers an onboard camera interface for easy connection with a camera. Also, an independent camera power supply circuit is designed, which helps reduce interference from other signals to the camera. The board comes with an OV2640 camera that offers 2 megapixels, a 68°FOV, and up to 1600*1200 resolution.

For instance, in a smart home scenario, the board's camera can be utilized to monitor the situation at home. When someone enters, it can automatically send notifications and store the captured image data for reporting purposes.

Image recognition

Video picture transmission

Powerful Chips and More Storage Space

The acceleration for neural network computing and signal processing workloads provided by the ESP32-S3-U chip makes the module an ideal choice for a wide variety of applications, such as speech recognition, image recognition, and so on.

For instance, when training for facial recognition, it is possible to store a greater number of facial models. This allows for faster results when conducting data comparisons.

Powerful Chip

Dual-Mode Communication

In addition, FireBeetle 2 ESP32-S3-U supports WiFi and Bluetooth 5 (LE) dual-mode communication, which reduces the difficulty of networking. Meanwhile, both Bluetooth Mesh protocol and Espressif WiFi Mesh are supported for more stable communication and a larger coverage area. With the support of Matter protocol, the microcontroller can be used to develop industrial standard smart home devices for a wider range of IoT and AIoT (Artificial Intelligence of Things) scenarios.

User-Friendly

This development board is designed to be user-friendly, addressing the complexity of screen wiring through its onboard GDI screen interface. Additionally, it integrates power management features, supporting battery charging and hardware power control. The FireBeetle 2 ESP32-S3-U can be programmed using the Arduino IDE, ESP-IDF, and MicroPython, allowing developers to utilize both C and Python to interact with the hardware.

Basic Parameters

Hardware Information

WIFI

Bluetooth

Ports

Project: DIY a plant growth recorder with ESP32 S3

Introduction: I plan to create a DIY plant growth recorder that will allow me to monitor the entire growth process of my plants from seedling to maturity, while tracking environmental conditions throughout.

Figure: DIY a plant growth recorder with ESP32 S3