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FireBeetle 2 ESP32-S3 is a high-performance main controller built around the ESP32-S3-WROOM-1-N16R8 module. In addition, this microcontroller is equipped with an OV2640 camera, enabling it to excel in applications such as image recognition. The ESP32-S3 module also boasts ample storage capacity and a rich set of communication interfaces, catering to a wide range of application requirements. With its enhanced capabilities, the FireBeetle 2 ESP32-S3 opens up endless possibilities for various projects and functionalities.
Image Recognition
FireBeetle 2 ESP32-S3 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 Chip and More Storage Space
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, 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 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 can be programmed using the Arduino IDE, ESP-IDF, and MicroPython, allowing developers to utilize both C and Python to interact with the hardware.
Comparison Table
| FireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller | FireBeetle 2 Board ESP32-S3-U (N16R8) AIoT Microcontroller | |
| WiFi | Soldered on the board | Routed through a cable |
| Bluetooth | Soldered on the board | Routed through a cable |
| Features |
Cohesive design,
more visually appealing
|
Better signal quality |
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.
ESP32 S3 Project - DIY a plant growth recorder with ESP32 S3
