Firebeetle 2 Board Esp32-S3-U (N16R8)

FireBeetle 2 ESP32-S3-U is a high-performance main controller built around the ESP32-S3-WROOM-1U-N16R8 module. ESP32-S3-WROOM-1U-N16R8 comes with 16MB Flash and 8MB PSRAM for storing more data. The acceleration for neural network computing and signal processing workloads provided by the ESP32-S3 chip make the module an ideal choice for a wide variety of applications, such as speech recognition, recognition, and so on.

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, 68° FOV, and up to 1600*1200 resolution. Besides, its onboard easy-to-connect GDI greatly saves the trouble of wiring for using with a screen. Meanwhile, the controller integrates a power management function, which allows users to charge a Li-ion battery and turn the hardware on/off.

In addition, FireBeetle 2 ESP32-S3-U supports WiFi and 5 (LE) dual-mode communication, which reduces the difficulty of networking. Meanwhile, both 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 home devices for a wider range of IoT and AIoT (Artificial Intelligence of Things) scenarios.

FireBeetle 2 ESP32-S3-U can be programmed by IDE, ESP-IDF, and MicroPython. Both C and Python are supported.

recognition

Video picture transmission

Comparison Table

ESP32-S3 module with AI Acceleration

16MB Flash & 8MB PSRAM, more storage space

Onboard camera interface & independent camera power supply, easy to connect and strong anti-interference

Power management integrated, support Li-ion battery charging and hardware On/OFF controlling

Onboard GDI for easy connection with screens

Wi-Fi and 5 dual-mode communication

AIoT-related projects

Speech recognition

recognition

Basic Parameters

Operating Voltage: 3.3V

Type-C Input Voltage: 5V

VCC Input Voltage: 5V

Charging Current: 1A

Operating Temperature: -20 to 70

Dimension: 25.4x60mm/1x2.36"

Hardware Information

Processor: Xtensa® dual-core 32-bit LX7 microprocessor

Main Frequency: 240 MHz

SRAM: 512KB

ROM: 384KB

Flash: 16MB

PSRAM: 8MB

RTC SRAM: 16KB

USB: USB 2.0 OTG full-speed

WIFI

WIFI Protocol: IEEE 802.11b/g/n

Bandwidth: Support 20 MHz and 40 MHz at 2.4 GHz band

WIFI Mode: Station, SoftAP, SoftAP+Station combined mode

WIFI Frequency: 2.4GHz

Frame Aggregation: TX/RX A-MPDU, TX/RX A-MSDU

Protocol: 5, mesh

Frequency: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps

Ports

Digital I/O x26

LED PWM Controller 8 Channels

SPI x4

UART x3

I2C

I2S

IR Transceiver: transmit channel x5, receive channel x5

2×12-bit SAR ADC, 20 Channels

DMA Controller: transmit channel x5, receive channel x5

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

Product wiki

ESP32-S3-WROOM-1 Datasheet

ESP32-S3 Chip Datasheet

Schematics

Dimension

FireBeetle 2 Board ESP32-S3-U (N16R8) x1

OV2640 Camera x1

2.4GHz WIFI&BLE Antenna x1

18pin-2.54mm Pin Header x1

18pin-2.54mm Female Header x1

14pin-2.54mm Pin Header x1

14pin-2.54mm Female Header x1