The FireBeetle 2 ESP32-S3 is a high-performance USB-C microcontroller built around the ESP32-S3-WROOM-1-N16R8 module.
The ESP32-S3-WROOM-1-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, image recognition and more.
Antenna Options
Two versions of this board are available(please select an option above before adding to cart) - one with an external antenna connector (with antenna included) and one without (internal PCB antenna).
Powerful Chips and Expanded Storage
The acceleration for neural network computing and signal processing workloads provided by the ESP32-S3 chip makes the module an ideal choice for a wide variety of applications, such as speech recognition and image recognition.
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.
WiFi and Bluetooth
In addition, the FireBeetle 2 ESP32-S3 supports WiFi and Bluetooth 5 (LE) dual-mode communication that reduces the difficulty of networking, with both Bluetooth Mesh protocol and Espressif WiFi Mesh supported for more stable communication and a larger coverage area. With the support of Matter protocol, the board can be used to develop industrial standard smart home devices for a wider range of IoT scenarios.
Onboard Camera Interface
The board has an onboard camera interface for easy connection with a compatible camera. The board also uses an independent camera power supply circuit to help reduce interference from other signals to the camera. The boardcomes with an OV2640 camera that offers 2 megapixel, 68° FOV and up to 1600×1200 resolution.
Image Recognition
The FireBeetle 2 ESP32-S3 offers an onboard camera interface for easy connection with a camera (included). 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 utilised to monitor the situation at home. When someone enters, it can automatically send notifications and store the captured image data for reporting purposes.
Power Options
The controller integrates a power management function which enables users to charge a LiPo battery and turn the hardware on/off.
Programming Flexibility
Programming can be achieved via the Arduino IDE, ESP-IDF and MicroPython. Both C and Python are supported!
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