Add Firebeetle 2 ESP32-S3

_board/firebeetle2_esp32s3.md

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+---
+layout: download
+board_id: "firebeetle2_esp32s3"
+title: "FireBeetle 2 ESP32-S3 Download"
+name: "FireBeetle 2 ESP32-S3"
+manufacturer: "DFRobot"
+board_url: "https://wiki.dfrobot.com/SKU_DFR0975_FireBeetle_2_Board_ESP32_S3"
+board_image: "firebeetle2_esp32s3.jpg"
+date_added: 2023-11-21
+family: esp32s3
+features:
+  - Breadboard-Friendly
+  - USB-C
+  - Wi-Fi
+  - Bluetooth/BTLE
+  - Camera
+  - Battery Charging
+---
+
+FireBeetle 2 ESP32-S3 is a high-performance main-controller built around the ESP32-S3-WROOM-1-N16R8 module. 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 so on.
+
+FireBeetle 2 ESP32-S3 offers a camera interface onboard 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 megapixel, 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 enables users to charge a Li-ion battery and turn the hardware on/off.
+
+In addition, FireBeetle 2 ESP32-S3 supports WiFi and Bluetooth 5 (LE) dual-mode communication that reduces the difficulty of networking, and also 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 board can be used to develop industrial standard smart home devices for a wider range of IoT scenarios.
+FireBeetle 2 ESP32-S3 can be programmed by Arduino IDE, ESP-IDF, MicroPython and CircuitPython. Both C and Python are supported.
+
+To use the camera under CircuitPython, you need to use the included frozen module `AXP313a`.
+For more information, please refer to the module [documentation](https://circuitpython-axp313a.readthedocs.io/en/latest/).
+
+## Purchase
+* [DFRobot](https://www.dfrobot.com/product-2676.html)
+* [Grobotronics](https://grobotronics.com/firebeetle-2-esp32-s3-n16r8-aiot-microcontroller-with-camera.html)