{"title":"FireBeetle 2 Board ESP32-S3-U (N16R8) AIoT Microcontroller with Camera (Wi-Fi & Bluetooth Routed through Cable)","handle":"firebeetle-2-board-esp32-s3-u-n16r8-aiot-microcontroller-with-camera-wi-fi-amp-bluetooth-routed-through-cable","url":"/products/firebeetle-2-board-esp32-s3-u-n16r8-aiot-microcontroller-with-camera-wi-fi-amp-bluetooth-routed-through-cable","description":"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, image 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 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.FireBeetle 2 ESP32-S3-U can be programmed by Arduino IDE, ESP-IDF, and MicroPython. Both C and Python are supported.  Image recognitionVideo picture transmissionComparison Table\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tFireBeetle 2 Board ESP32-S3 (N16R8) AIoT Microcontroller \t\t\t\t\t\t\t\t\t\tFireBeetle 2 Board ESP32-S3-U (N16R8) AIoT Microcontroller\t\t\t\t\t\t\t\t\t\t\t\t\t\tWiFi\t\t\t\t\t\t\t\t\t\tSoldered on the board\t\t\t\t\t\t\t\t\t\tRouted through a cable\t\t\t\t\t\t\t\t\t\t\t\t\t\tBluetooth\t\t\t\t\t\t\t\t\t\tSoldered on the board\t\t\t\t\t\t\t\t\t\tRouted through a cable\t\t\t\t\t\t\t\t\t\t\t\t\t\tFeatures\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tCohesive design,\t\t\t\t\t\t\t\t\t\t\t\t\tmore visually appealing\t\t\t\t\t\t\t\t\t\t\t\t\t\tBetter signal quality\t\t\t\t\t\t FeaturesESP32-S3 module with AI Acceleration 16MB Flash & 8MB PSRAM, more storage spaceOnboard camera interface & independent camera power supply, easy to connect and strong anti-interferencePower management integrated, support Li-ion battery charging and hardware On/OFF controllingOnboard GDI for easy connection with screensWi-Fi and Bluetooth 5 dual-mode communication ApplicationsAIoT-related projectsSpeech recognitionImage recognitionSpecificationBasic ParametersOperating Voltage: 3.3VType-C Input Voltage: 5V DCVCC Input Voltage: 5V DCMax Charging Current: 1AOperating Temperature: -20 to 70°CDimension: 25.4x60mm/1x2.36” Hardware InformationProcessor: Xtensa® dual-core 32-bit LX7 microprocessorMain Frequency: 240 MHzSRAM: 512KBROM: 384KBFlash: 16MBPSRAM: 8MBRTC SRAM: 16KBUSB: USB 2.0 OTG full-speed WIFIWIFI Protocol: IEEE 802.11b/g/nBandwidth: Support 20 MHz and 40 MHz at 2.4 GHz band WIFI Mode: Station, SoftAP, SoftAP+Station combined modeWIFI Frequency: 2.4GHzFrame Aggregation: TX/RX A-MPDU, TX/RX A-MSDU BluetoothBluetooth Protocol: Bluetooth 5, Bluetooth meshBluetooth Frequency: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps PortsDigital I/O x26LED PWM Controller 8 ChannelsSPI x4UART x3I2C x2I2S x2IR Transceiver: transmit channel x5, receive channel x52×12-bit SAR ADC, 20 ChannelsDMA Controller: transmit channel x5, receive channel x5ProjectsProject: DIY a plant growth recorder with ESP32 S3Introduction: 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 S3DocumentsProduct wikiESP32-S3-WROOM-1 DatasheetESP32-S3 Chip DatasheetSchematicsDimensionShipping ListFireBeetle 2 Board ESP32-S3-U (N16R8)   x1OV2640 Camera                       x12.4GHz WIFI&BLE Antenna             x118pin-2.54mm Pin Header             x118pin-2.54mm Female Header         x114pin-2.54mm Pin Header             x114pin-2.54mm Female Header          x1","vendor":"DFRobot","product_type":"physical","in_stock":true,"options":[],"variants":[{"id":1590,"title":"Default Title","sku":"DF-DFR0975-U","price":35.41,"on_sale":false,"in_stock":true,"available_quantity":63,"option1":"Default Title"}]}