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FireBeetle 2 ESP32-S3-U (N16R8) AIoT Microcontroller with Camera

από DFROBOT
FireBeetle 2 ESP32-S3-U is a high-performance main controller built around the ESP32-S3-WROOM-1-N16R8 module. ESP32-S3-WROOM-1-N16R8 comes with 16MB Flash...
25-00016356
Ογκομετρικό βάρος: 0.01kg
Εγγύηση: Ως εξάρτημα, δεν καλύπτεται
Κατασκευαστής: DFROBOT
Part Number: DFR0975-U
Χώρα Προέλευσης: Κίνα
Διαθέσιμο
Αποστολή σε 24 ώρες
Χαμηλό απόθεμα στο κατάστημα
25.80
Χωρίς ΦΠΑ 20.81
+

ΣΥΝΔΥΑΣΕ ΤΟ ΜΕ

ΠΕΡΙΓΡΑΦΗ

FireBeetle 2 ESP32-S3-U 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 makes 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.

Video picture transmission

Image recognition

 

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

ΧΑΡΑΚΤΗΡΙΣΤΙΚΑ

Εγγύηση:
Ως εξάρτημα, δεν καλύπτεται
Κατασκευαστής
:
DFROBOT
Part Number:
DFR0975-U
Μικτό Βάρος:
0.01kg
Χώρα Προέλευσης:
Κίνα

ΕΠΙΠΛΕΟΝ ΧΑΡΑΚΤΗΡΙΣΤΙΚΑ

  • Basic Parameters
    • Operating Voltage: 3.3V
    • Type-C Input Voltage: 5V DC
    • VCC Input Voltage: 5V DC
    • Max 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
  • Bluetooth
    • Bluetooth Protocol: Bluetooth 5, Bluetooth mesh
    • Bluetooth Frequency: 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps
  • Ports
    • Digital I/O x26
    • LED PWM Controller 8 Channels
    • SPI x4
    • UART x3
    • I2C x2
    • I2S x2
    • IR Transceiver: transmit channel x5, receive channel x5
    • 2×12-bit SAR ADC, 20 Channels
    • DMA Controller: transmit channel x5, receive channel x5

ΔΥΝΑΤΟΤΗΤΕΣ

  • 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 Bluetooth 5 dual-mode communication

Applications

  • AIoT-related projects
  • Speech recognition
  • Image recognition

ΑΡΧΕΙΑ