Seeed Studio XIAO ESP32S3 Sense – 2.4GHz Wi-Fi, BLE 5.0, OV2640 camera sensor, digital microphone, battery charge supported, rich Interface, IoT, embedded ML
- Item: Seeed Studio XIAO ESP32S3 Sense
- Processor: ESP32-S3R8, Xtensa LX7 dual-core,32-bit processor that operates at up to 240 MHZ
- Wireless: Complete 2.4GHz Wi-Fi subsystem, BLE: Bluetooth 5.0, Bluetooth mesh
- Built-in Sensors: oV2640 camera sensor for 1600*1200, Digital Microphone
₹2,099.00 ₹2,699.00
The Seeed Studio XIAO ESP32S3 Sense is centered around the highly integrated Xtensa processor ESP32-S3R8 SoC, offering support for 2.4GHz WiFi and low-power Bluetooth® BLE 5.0 dual-mode functionality, catering to a wide range of wireless applications. Additionally, it boasts lithium battery charge management capabilities.
Distinguished as the enhanced iteration of the Seeed Studio XIAO ESP32S3, this board is equipped with a plug-in OV2640 camera sensor capable of displaying images at a full resolution of 1600*1200 pixels. Moreover, its base is compatible with the OV5640 sensor, accommodating resolutions of up to 2592*1944 pixels. The inclusion of a digital microphone further enhances the board’s functionality, enabling voice sensing and audio recognition capabilities.
Featuring a robust system-on-chip (SoC) and integrated sensors, this development board incorporates 8MB of PSRAM and 8MB of FLASH on the chip, alongside an additional SD card slot supporting up to 32GB of FAT memory. These specifications not only provide ample programming space but also unlock a plethora of possibilities for embedded machine learning scenarios.
Note: Due to small size heating issue will be generated but will not affect the working of the product.
To avoid excessive heating, you can use external heatsink.
Pinout Diagram:
Features:
- Powerful MCU Board: Incorporate the ESP32S3 32-bit, dual-core, Xtensa processor chip operating up to 240 MHz, mounted multiple development ports, Arduino / MicroPython supported
- Advanced Functionality: Detachable OV2640 camera sensor for 1600*1200 resolution, compatible with OV5640 camera sensor, integrating additional digital microphone
- Great Memory for more Possibilities: Offer 8MB PSRAM and 8MB FLASH, supporting SD card slot for external 32GB FAT memory
- Outstanding RF performance: Support 2.4GHz Wi-Fi and BLE dual wireless communication, support 100m+ remote communication when connected with U.FL antenna
- Thumb-sized Compact Design: 21 x 17.5mm, adopting the classic form factor of XIAO, suitable for space-limited projects like wearable devices
Specification:
| Item | Seeed Studio XIAO ESP32S3 Sense |
|---|---|
| Processor | ESP32-S3R8
Xtensa LX7 dual-core,32-bit processor that operates at up to 240 MHZ |
| Wireless | Complete 2.4GHz Wi-Fi subsystem
BLE: Bluetooth 5.0, Bluetooth mesh |
| Built-in Sensors | oV2640 camera sensor for 1600*1200
Digital Microphone |
| Memory | On-chip 8M PSRAM & 8MB Flash Onboard SD Card Slot, supporting 32GB FAT |
| lnterface | 1x UART,1x lIC,1x lIS,1x SPI,11x GPIOs (PWM),9xADC，1x User LED, 1x Charge LED,1x B2B Connector(with 2 additional GPIOs)
1x Reset button, 1x Boot button |
| Power | Input voltage (Type-C): 5V
lnput voltage (BAT): 4.2V |
| Webcam Web application | Type-C: – – Average power consumption: 5V/138mA– Photo moment: 5V/341mA – Battery: – Average power consumption: 3.8V/154mA – Photo moment: 3.8V/304mA |
| Microphone recording & SD card writing | Type-C: Average power consumption: 5V/46.5mA Peak power consumption: 5V/89.6mA– Battery: Average power consumption: 3.8V/54.4mA Peak power consumption: 3.8V/108mA |
| Charging battery current | 100mA |
| Modem-sleep Model | ~44mA |
| Wi-Fi Enabled Power Consumption | Active Model: ~ 110 mA (with expansion board) |
| BLE Enabled Power Consumption | Active Model: ~ 102 mA (with expansion board) |
| Working Temperature | -40°C ~65°C |
| Shipping Weight | 0.007 kg |
| Shipping Dimensions | 10 × 7 × 1 cm |
Package Includes:
1 x Seeed Studio XIAO ESP32S3 Sense – 2.4GHz Wi-Fi, BLE 5.0, OV2640 camera sensor, digital microphone, battery charge supported, rich Interface, IoT, embedded ML
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