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Seeed Studio XIAO ESP32S3 Sense: 2.4GHz Wi-Fi, BLE 5.0, OV3660 Camera Sensor, Digital Microphone, 8MB FLASH, 8MB PSRAM, Rich Interface, Battery Charging Supported, IoT, Embedded ML

Seeed Studio XIAO ESP32S3 Sense: 2.4GHz Wi-Fi, BLE 5.0, OV3660 Camera Sensor, Digital Microphone, 8MB FLASH, 8MB PSRAM, Rich Interface, Battery Charging Supported, IoT, Embedded ML

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Seeed Studio XIAO ESP32S3 Sense: 2.4GHz Wi-Fi, BLE 5.0, OV3660 Camera Sensor, Digital Microphone, 8MB FLASH, 8MB PSRAM, Rich Interface, Battery Charging Supported, IoT, Embedded ML If you want a small but powerful development board, pick the Seeed Studio XIAO ESP32S3 Sense. It is ideal for IoT and embedded machine-learning projects. This seeed studio ESP32 board has a powerful Xtensa processor ESP32-S3R8 SoC that provides dependable 2.4GHz Wi-Fi and Bluetooth BLE 5.0. It has an OV3660 smart camera sensor board for crisp 1600*1200 quality photos and a built-in digital microphone for voice detection and audio recognition. You'll love the 8MB …
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As low as ₹1908.34   ₹3498.60 Incl. GST (No Hidden Charges)
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OUT OF STOCK SKU#: IOT-2888
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Expected to be in stock within 5-7 business days. We'll ship immediately once available.

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Seeed Studio XIAO ESP32S3 Sense: 2.4GHz Wi-Fi, BLE 5.0, OV3660 Camera Sensor, Digital Microphone, 8MB FLASH, 8MB PSRAM, Rich Interface, Battery Charging Supported, IoT, Embedded ML If you want a small but powerful development board, pick the Seeed Studio XIAO ESP32S3 Sense. It is ideal for IoT and embedded machine-learning projects. This seeed studio ESP32 board has a powerful Xtensa processor ESP32-S3R8 SoC that provides dependable 2.4GHz Wi-Fi and Bluetooth BLE 5.0. It has an OV3660 smart camera sensor board for crisp 1600*1200 quality photos and a built-in digital microphone for voice detection and audio recognition. You'll love the 8MB PSRAM and 8MB FLASH, plus an SD card slot for up to 32GB of extra storage. It supports battery charging, making it great for portable projects, and it’s versatile with its wide range of interfaces. The XIAO ESP32S3 Sense also offers pre-trained AI models and no-code deployment through SenseCraft AI. Despite its powerful features, it maintains the classic thumb-sized form factor of the XIAO family. This board is a fantastic choice for your next project! Features: Features a powerful ESP32S3 32-bit dual-core processor. It supports Arduino and MicroPython. Includes a detachable OV3660 camera for 1600*1200 resolution. Includes an integrated digital microphone. Measuring just 21 x 17.5mm. Has 8MB PSRAM, 8MB FLASH, and an SD card slot for up to 32GB of memory. Supports 2.4GHz Wi-Fi and BLE with a 100m+ range using a U.FL antenna. Provides pre-trained AI models from SenseCraft AI for no-code deployment. Application: Speech recognition Video monitoring Wearable devices Image processing Smart homes Low-power (LP) networking Rapid prototyping Health monitoring Education

  • ESP32-S3R8, Xtensa LX7 dual-core, 32-bit processor up to 240 MHz.
  • 2.4GHz Wi-Fi, Bluetooth 5.0, Bluetooth mesh.
  • Integrated OV3660 camera (1600*1200 resolution) and digital microphone.
  • 8MB PSRAM, 8MB Flash, SD card slot supporting 32GB FAT.
  • 1 UART, 1 I2C, 1 I2S, 1 SPI, 11 GPIOs (PWM), and 9 ADC.
  • User and charge LEDs, B2B connector with additional GPIOs, reset and boot buttons.
  • Measuring only 21 x 17.5 x 15 mm (with expansion board).
  • Supports 5V Type-C and 4.2V battery input.
  • Supports SenseCraft AI for no-code deployment of pretrained models.
  • Operates in temperatures ranging from -40°C to 65°C.
Processor ESP32-S3R8, Xtensa LX7 dual-core, 32-bit processor operating up to 240 MHz
Wireless Complete 2.4GHz Wi-Fi subsystem, Bluetooth 5.0, Bluetooth mesh
Built-in Sensors OV3660 camera sensor (1600*1200), Digital Microphone
Memory On-chip 8MB PSRAM & 8MB Flash, Onboard SD Card Slot supporting 32GB FAT
Interface 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 15mm (with expansion board)
Input Voltage Type-C: 5V, BAT: 4.2V
Circuit Operating Voltage 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/341mABattery:- Average power consumption: 3.8V/154mA- Photo moment: 3.8V/304mA
Microphone Recording & SD Writing Type-C:- Average power consumption: 5V/46.5mA- Peak power consumption: 5V/89.6mABattery:- Average power consumption: 3.8V/54.4mA- Peak power consumption: 3.8V/108mA
Charging Battery Current 100mA
Low Power Consumption Model - Modem-sleep Model: ~44mA- Light-sleep Model: ~5mA- Deep Sleep Model: ~3mA
Wi-Fi Enabled Power Consumption Active Model: ~110mA (with expansion board)
BLE Enabled Power Consumption Active Model: ~102mA (with expansion board)
Working Temperature -40°C ~ 65°C

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About Seeed Studio XIAO ESP32S3 Sense: 2.4GHz Wi-Fi, BLE 5.0, OV3660 Camera Sensor, Digital Microphone, 8MB FLASH, 8MB PSRAM, Rich Interface, Battery Charging Supported, IoT, Embedded ML by Iotcart

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Seeed Studio XIAO ESP32S3 Sen…
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Seeed Studio XIAO ESP32S3 Sense – Wi-Fi, BLE & AI Camera Board If you want a small but powerful development board, pick the Seeed Studio XIAO ESP32S3 Sense. It is ideal for IoT and embedded machine-learning projects. This seeed studio ESP32 board has a powerful Xtensa processor ESP32-S3R8 SoC that provides dependable 2.4GHz Wi-Fi and Bluetooth BLE 5.0. It has an OV3660 smart camera sensor board for crisp 1600*1200 quality photos and a built-in digital microphone for voice detection and audio recognition. You'll love the 8MB PSRAM and 8MB FLASH, plus an SD card slot for up to 32GB of extra storage. It supports battery charging, making it great for portable projects, and it’s versatile with its wide range of interfaces. The XIAO ESP32S3 Sense also offers pre-trained AI models and no-code deployment through SenseCraft AI. Despite its powerful features, it maintains the classic thumb-sized form factor of the XIAO family. This board is a fantastic choice for your next project! Features: Features a powerful ESP32S3 32-bit dual-core processor. It supports Arduino and MicroPython. Includes a detachable OV3660 camera for 1600*1200 resolution. Includes an integrated digital microphone. Measuring just 21 x 17.5mm. Has 8MB PSRAM, 8MB FLASH, and an SD card slot for up to 32GB of memory. Supports 2.4GHz Wi-Fi and BLE with a 100m+ range using a U.FL antenna. Provides pre-trained AI models from SenseCraft AI for no-code deployment. Camera & ML Demo: Sample Projects DIY Face Detection Camera : Use the XIAO ESP32S3 Sense built-in camera and on-board ML support to detect faces, capture snapshots, and send alerts over WiFi. Smart Door Entry Monitor : Combine the camera with a PIR sensor to capture entry events, log timestamps, and stream snapshots to a dashboard. Voice and Camera Surveillance : Use the digital microphone and camera together to detect sound and motion, then record short clips or trigger notifications. Object Classification Station : Run small image classification models on the S3 Sense to identify objects on a workbench or conveyor belt and log results to local storage or the cloud. Portable Field Camera Node : Deploy the board with battery power and SD storage to capture and store images in remote locations for later analysis. Comparison: C3 vs S3 Sense Feature XIAO ESP32-C3 XIAO ESP32S3 Sense Processor ESP32-C3 single core, up to 160 MHz ESP32-S3 dual core, up to 240 MHz Memory Lower flash and no PSRAM on most variants Includes PSRAM and larger flash, microSD support on some SKUs Camera No built-in camera Built-in OV camera module and digital microphone On-device ML Limited for tiny models Better suited for vision and audio ML tasks Ideal Use Cases Low power IoT nodes, BLE peripherals, simple sensors AI camera projects, voice and vision prototypes, edge ML demos Form Factor XIAO compact size XIAO compact size with camera and sensor additions Related Products & Modules XIAO Series Collection IoT Sensors Collection Tutorial : Build a DIY Face Detection Camera Use the XIAO ESP32S3 Sense, attach power and optional microSD card, flash a sample face detection sketch using Arduino or MicroPython, and configure WiFi to stream or upload detection events to your dashboard. For best results use lightweight models optimized for the S3 Sense and test in varied lighting conditions. Suggested steps: Prepare hardware: XIAO ESP32S3 Sense, power source, optional microSD, and a PIR sensor if needed. Install toolchain: Arduino IDE or MicroPython firmware and required libraries for camera and ML inference. Load sample code: run a face detection example, adjust model thresholds and frame size for performance. Configure output: save snapshots to microSD or push events to a dashboard via MQTT or HTTP. Test and tune: iterate on model size, resolution, and detection thresholds for reliable results. Application: Speech recognition Video monitoring Wearable devices Image processing Smart homes Low-power (LP) networking Rapid prototyping Health monitoring Education
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