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Description
Seeed Studio XIAO ESP32S3 Sense integrates a camera sensor, digital microphone, and SD card support. Combining embedded ML computing power and photography capability, this development board can be your great tool to get started with intelligent voice and vision AI.
Seeed Studio XIAO ESP32S3 Sense is built around a highly-integrated, Xtensa processor ESP32-S3R8 SoC, which supports 2.4 GHz WiFi and low-power Bluetooth BLE 5.0 dual-mode for multiple wireless applications. It has lithium battery charge management capability.
As the advanced version of Seeed Studio XIAO ESP32S3, this board comes with a plug-in OV2640 camera sensor for displaying full 1600x1200 resolution. The base of it is even compatible with OV5640 for supporting up to 2592x1944 resolution. The digital microphone is also carried with the board for voice sensing and audio recognition. SenseCraft AI provides various pre-trained Artificial Intelligence (AI) models and no-code deployment to XIAO ESP32S3 Sense.
With powerful SoC and built-in sensors, this development board has 8 MB PSRAM and 8 MB Flash on the chip, an additional SD card slot for supporting up to 32 GB FAT memory. These allow the board for more programming space and bring even more possibilities into embedded ML scenarios.
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: with OV5640 camera sensor, integrating additional digital microphone
- Great Memory for more Possibilities: Offer 8 MB PSRAM and 8 MB Flash, supporting SD card slot for external 32 GB FAT memory
- Outstanding RF performance: Support 2.4 GHz Wi-Fi and BLE dual wireless communication, support 100m+ remote communication when connected with U.FL antenna
- Thumb-sized Compact Design: 21 x 17.5 mm, adopting the classic form factor of XIAO, suitable for space-limited projects like wearable devices
- Pretrained Al model from SenseCraft Al for no-code deployment
Applications
- Image processing
- Speech Recognition
- Video Monitoring
- Wearable devices
- Smart Homes
- Health monitoring
- Education
- Low-Power (LP) networking
- Rapid prototyping
Specifications
| Processor | ESP32-S3R8 |
| Xtensa LX7 dual-core, 32-bit processor that operates at up to 240 MHz | |
| Wireless | Complete 2.4 GHz Wi-Fi subsystem |
| BLE: Bluetooth 5.0, Bluetooth mesh | |
| Built-in Sensors | oV2640 camera sensor for 1600x1200 |
| Digital Microphone | |
| Memory | On-chip 8 MB PSRAM & 8 MB Flash |
| Onboard SD Card Slot, supporting 32 GB FAT | |
| lnterface | 1x UART, 1x I²C, 1x I²S, 1x SPI, 11x GPIOs (PWM), 9x ADC, 1x User LED, 1x Charge LED, 1x B2B Connector (with 2 additional GPIOs) |
| 1x Reset button, 1x Boot button | |
| Dimensions | 21 x 17.5 x 15 mm (with expansion board) |
| Power | Input voltage (Type-C): 5 V |
| lnput voltage (BAT): 4.2 V | |
| Circuit operating Voltage (ready to operate): | |
| - Type-C: 5 V @ 38.3 mA | |
| - BAT: 3.8 V @ 43.2 mA (with expansion board) | |
| Webcam Web application: | |
| Type-C: | |
| - Average power consumption: 5 V/138 mA | |
| - Photo moment: 5 V/341 mA | |
| Battery: | |
| - Average power consumption: 3.8 V/154 mA | |
| - Photo moment: 3.8 V/304 mA | |
| Microphone recording & SD card writing: | |
| Type-C: | |
| - Average power consumption: 5 V/46.5 mA | |
| - Peak power consumption: 5 V/89.6 mA | |
| Battery: | |
| - Average power consumption: 3.8 V/54.4 mA | |
| - Peak power consumption: 3.8 V/108 mA | |
| Charging battery current: 100 mA | |
| Low Power Consumption Model (Supply Power: 3.8 V) | Modem Sleep Model: ~44 mA |
| Light Sleep Model: ~5 mA | |
| Deep Sleep Model: ~3 mA | |
| Wi-Fi Enabled Power Consumption | Active Model: ~ 110 mA (with expansion board) |
| BLE Enabled Power Consumption | Active Model: ~ 102 mA (with expansion board) |
Included
- 1x XIAO ESP32S3
- 1x Plug-in camera sensor board
- 1x Antenna
Downloads
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