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Seeed XIAO ESP32S3 Sense
Option:Board + Loose Headers
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The Seeed XIAO ESP32S3r Sense is built around a highly-integrated, Xtensa processor ESP32-S3R8 SoC, which supports 2.4GHz 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 compatible with OV5640 for supporting up to 2592x1944 resolution. The digital microphone is also carried with the board for voice sensing and audio recognition.
With powerful SoC and built-in sensors, this development board has 8MB PSRAM and 8MB FLASH on the chip, an additional SD card slot for supporting up to 32GB FAT memory. These allow the board for more programming space and bring even more possibilities into embedded ML scenarios.
As a number to the Seeed Studio XIAO family, the board maintains the classic thumb-sized form-factor design and elegant productisation of mounting single-sided components.
Comes with a set of loose headers.
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
- Product number: Seeed 113991115
Specifications
| 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 | |
| Interface | 1x UART, 1x IIC, 1x IIS, 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 15mm (with expansion board) |
| Power | Input voltage (Type-C): 5V |
| Input voltage (BAT): 4.2V | |
| Circuit operating Voltage (ready to operate): | |
| - Type-C: 5V@38.3mA | |
| - BAT: 3.8V@43.2mA (with expansion board) | |
| 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 | |
| Low Power Consumption Model | Without any peripherals: |
| - Modem-sleep Model: 3.8V/25.5 mA | |
| - Light-sleep Model: 3.8V/2.4 mA | |
| - Deep Sleep Model: 3.8V/63.768 μA | |
| Connect the camera: | |
| - Modem-sleep Model: 3.8V/44.57 mA | |
| - Light-sleep Model: 3.8V/5.47 mA | |
| - Deep Sleep Model: 3.8V/3.00 mA | |
| Connecting an SD Card: | |
| - Modem-sleep Model: 3.8V/32.8 mA | |
| - Light-sleep Model: 3.8V/3.48 mA | |
| - Deep Sleep Model: 3.8V/1.08 mA | |
| Simultaneously connect the camera and the SD card: | |
| - Modem-sleep Model: 3.8V/55.72 mA | |
| - Light-sleep Model: 3.8V/6.56 mA | |
| - Deep Sleep Model: 3.8V/3.98 mA | |
| 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 |
Resources
- Product Wiki
- OV2640 Camera Datasheet
- ESP32-S3 Datasheet
- Seeed Studio XIAO ESP32S3 Sense Schematic
- Seeed Studio XIAO ESP32S3 Sense KiCAD Libraries
- Seeed Studio XIAO ESP32S3 Sense Eagle Libraries
- Seeed Studio XIAO ESP32S3 Sense Factory firmware
Pinout
Package Contents
- 1x Seeed Studio XIAO ESP32S3 Sense
- 1x Plug-in camera sensor board
- 1x Antenna
- Header set
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Accreditations
Overall product rating out of 5: 4.92
Based on 13 reviews
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Product Reviews
Seeed XIAO ESP32S3 Sense
Another great little board from Xioa series,simple and easy to use with a breakout camera which plugs right on the face side of board,Arduino,micro python plus circuit python either one can be used for programming.Me I prefer Arduino loads of pre release projects for this guy,get yourself one and start having fun 👍
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3 months ago
Seeed XIAO ESP32S3 Sense
Reviewer didn't leave any comments
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5 months ago
Seeed XIAO ESP32S3 Sense
Fantastic feature rich device.
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8 months ago
Seeed XIAO ESP32S3 Sense
Incredible little package with lots of uses in IoT and home security applications.
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8 months ago
Seeed XIAO ESP32S3 Sense
Cool little device for projects that require a very small footprint. When using the camera the device does get quite hot though at almost 70C, so consider heatsinking or other thermal management.
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10 months ago
Seeed XIAO ESP32S3 Sense
Compact but useful processor for small gadgets
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1 year ago
Seeed XIAO ESP32S3 Sense
Great example of the ESP32, with a camera and diminutive size. Works well with Arduino IDE, so code can be easily adapted and uploaded in minutes. Highly recommended as a remote time lapse camera.
2 people found this review helpful.
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1 year ago
Seeed XIAO ESP32S3 Sense
I’m very happy with how my boards were packed and the speed of delivery. One will be used for taking pictures of my bird feeder, the other to record weather data from my weather station. I chose the XIAO because I can implement a wireless network easily. The boards are so good I’ve just ordered another two
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1 year ago
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