Buy XIAO ESP32S3 Sense Board with Camera & Mic Online India – Robocraze

Seeed Studio XIAO ESP32S3 Sense Development Board with Camera & Microphone

The Seeed Studio XIAO ESP32S3 Sense is a compact Edge AI and IoT development board designed for TinyML, computer vision, audio recognition, robotics, wearable devices, and smart home applications. Powered by the ESP32-S3R8 dual-core Xtensa LX7 processor running at up to 240MHz, it combines processing performance, wireless connectivity, camera, microphone, and local storage capabilities in a compact XIAO form factor.

The board features an OV3660 camera sensor capable of capturing images at up to 2048 x 1536 resolution and an integrated digital microphone for audio and voice-recognition projects. With 8MB PSRAM and 8MB Flash, it provides additional memory for embedded AI models, image processing, and data-intensive applications.

Supporting 2.4GHz Wi-Fi and Bluetooth 5.0 BLE, the XIAO ESP32S3 Sense can connect to wireless networks, smartphones, sensors, and IoT platforms. It also supports battery-powered applications with LiPo battery charging functionality, making it suitable for portable and remote projects.

The board supports Arduino IDE, MicroPython, ESP-IDF, and SenseCraft AI, allowing developers, students, and makers to build applications ranging from simple IoT prototypes to on-device AI and machine-learning projects.

Features:

ESP32-S3 Dual-Core Processor

The ESP32-S3R8 dual-core Xtensa LX7 processor runs at up to 240MHz, providing the processing performance required for embedded applications, image processing, and Edge AI workloads.

OV3660 Camera Sensor

The detachable OV3660 camera supports image capture up to 2048 x 1536 resolution, making the board suitable for computer vision, face detection, image classification, and smart-camera projects.

Built-in Digital Microphone

The integrated digital microphone enables voice detection, sound classification, keyword spotting, and audio-recognition applications without requiring an external microphone module.

8MB PSRAM & 8MB Flash

The combination of 8MB PSRAM and 8MB Flash provides additional memory for AI models, image processing, application code, and embedded data storage.

Wi-Fi & Bluetooth 5.0 BLE

Built-in 2.4GHz Wi-Fi and Bluetooth Low Energy 5.0 enable wireless communication for IoT, smart home, robotics, and connected-device applications.

SenseCraft AI Support

Use SenseCraft AI and pre-trained models to develop selected AI applications with simplified or no-code deployment workflows.

Compact XIAO Form Factor

With a compact 21 × 17.5mm form factor, the board can be integrated into wearable devices, portable electronics, compact robots, and embedded products.

MicroSD Storage Support

The board supports a microSD card of up to 32GB, providing additional local storage for images, sensor data, audio recordings, and other project files.

Arduino & MicroPython Compatibility

Develop applications using Arduino IDE, MicroPython, ESP-IDF, and other supported development environments.

Why Choose the XIAO ESP32S3 Sense?

• Dual-core ESP32-S3 processor running up to 240MHz.
• OV3660 camera for image and computer vision projects.
• Integrated digital microphone for audio applications.
• 8MB PSRAM and 8MB Flash.
• Built-in 2.4GHz Wi-Fi and Bluetooth 5.0 BLE.
• Supports Edge AI and TinyML applications.
• SenseCraft AI support for simplified AI deployment.
• microSD storage support up to 32GB.
• LiPo battery charging support.
• Compact 21 × 17.5mm XIAO form factor.
• Supports Arduino IDE, MicroPython, and ESP-IDF.

Who Should Buy the XIAO ESP32S3 Sense?

AI & TinyML Developers

Ideal for developers experimenting with on-device machine learning, computer vision, audio recognition, and Edge AI applications.

IoT Developers

Suitable for building compact connected devices with Wi-Fi, Bluetooth, camera, microphone, and sensor integration.

Robotics Engineers

Useful for developing robots with vision, audio sensing, wireless communication, and intelligent decision-making capabilities.

Students & Educators

A practical platform for learning embedded systems, IoT, computer vision, machine learning, and robotics.

Makers & DIY Enthusiasts

Suitable for developing creative camera, audio, wearable, automation, and smart-device projects.

Product Designers

Useful for prototyping compact AI-enabled products, wearable devices, smart sensors, and connected embedded systems.

Seeed Studio XIAO ESP32S3 Sense Price in India

The Seeed Studio XIAO ESP32S3 Sense price in India is ₹1,585 at Robocraze. The final price may vary depending on stock availability, ongoing offers, combo deals, and promotional discounts.

Robocraze provides genuine Seeed Studio development boards sourced from verified distributors, along with secure packaging, technical assistance, GST billing, and dependable customer support.

Why Buy from Robocraze?

• Genuine Seeed Studio Product
• Verified Sourcing
• Quality-Tested Products
• Secure Packaging
• Fast Shipping Across India
• GST Invoice Available
• Dedicated Technical Support
• Reliable After-Sales Assistance

Ideal For

Edge AI & TinyML

Develop on-device machine-learning applications such as image classification, sound recognition, and intelligent sensor systems.

Computer Vision

Build face detection, object recognition, image classification, and smart-camera prototypes using the OV3660 camera.

Audio Recognition

Develop keyword spotting, sound classification, voice detection, and audio-monitoring applications using the integrated digital microphone.

IoT Development

Create Wi-Fi and Bluetooth-enabled smart devices, wireless monitoring systems, and connected sensor nodes.

Robotics

Add vision, audio sensing, wireless communication, and intelligent processing capabilities to robotics projects.

Wearable Electronics

Build compact wearable devices, portable monitoring systems, and battery-powered embedded applications.

Smart Home Automation

Develop intelligent security cameras, smart monitoring systems, connected sensors, and automated home devices.

STEM & Engineering Projects

Ideal for students, educators, makers, and engineering teams exploring embedded systems, AI, IoT, and robotics.

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

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

XIAO ESP32S3 Sense Use Cases for Developers

The XIAO ESP32S3 Sense is purpose-built for developers building real applications at the edge — not just blinking LEDs. Here's how makers and engineers are using it for serious projects.

XIAO ESP32S3 Sense for TinyML

The ESP32-S3 dual-core processor running at 240 MHz with 8MB PSRAM makes the XIAO ESP32S3 Sense one of the most capable TinyML boards available at this price point. It supports deployment of quantized neural network models directly on-device no cloud required.

Developers use it for:

• On-device image classification using lightweight CNN models (MobileNetV2, EfficientNet-Lite)
• Keyword spotting and wake-word detection using the built-in PDM digital microphone
• Anomaly detection on sensor streams with no-latency inference loops
• No-code model deployment via SenseCraft AI lo; ad pre-trained models without writing inference code

The board's PSRAM headroom lets you load larger models than typical ESP32 variants, making it the go-to choice when you need inference speed without upgrading to a full Raspberry Pi or Jetson.

XIAO ESP32S3 Sense Face Detection Project

The detachable OV3660 camera (1600×1200 resolution) combined with the ESP32-S3's hardware acceleration makes the XIAO ESP32S3 Sense a natural fit for face detection projects. Unlike raw ESP32-CAM modules, this board gives you PSRAM, BLE 5.0, and a microphone all on one thumb-sized footprint.

Common face detection project configurations:

• Smart Door Monitor: Detect faces at a doorway, capture a snapshot, and push an alert over Wi-Fi to a Telegram bot or MQTT broker
• Attendance Logger: Run lightweight face detection on-device, log timestamps to a microSD card (supports up to 32GB), and sync records over Wi-Fi
• Occupancy Detector: Count detected faces in a frame to estimate room occupancy, useful for labs, libraries, and co-working spaces
• Webcam Streaming with Detection Overlay: Stream live camera feed over Wi-Fi with detection bounding boxes using the built-in WebServer library

The board supports both Arduino IDE and MicroPython for face detection workflows. For fastest time-to-demo, use the SenseCraft AI platform to flash a pretrained face detection model with zero configuration.

XIAO ESP32S3 Sense Audio Recognition

The integrated PDM digital microphone makes the XIAO ESP32S3 Sense one of the few thumb-sized boards that can handle on-device audio recognition without an external mic module. This unlocks a whole class of voice and sound-based applications.

Audio recognition use cases developers build with this board:

• Wake-word detection: Train a keyword spotting model (e.g., "Hey Device") using Edge Impulse and flash directly to the S3 Sense runs entirely offline
• Sound classification: Detect specific audio events glass breaking, alarms, coughs, machinery faults and trigger actions or alerts via BLE or Wi-Fi
• Voice command interface: Build a small set of voice commands (4–8 words) to control connected peripherals using MFE spectrograms and a neural classifier
• Audio logging: Record audio clips to microSD on trigger events (sound above a threshold, camera motion detection) for later analysis

The I2S interface also supports external microphones if you need higher sensitivity or directional audio pickup.

Why Developers Choose the XIAO ESP32S3 Sense for Edge AI Projects

• All-in-one sensing: Camera + mic + Wi-Fi + BLE on a 21×17.5mm board no shield stack required
• Battery-native: Built-in LiPo charging means your project is portable from day one
• Flexible toolchains: Arduino, MicroPython, ESP-IDF, and SenseCraft AI are all supported
• Maker-tested in India: Used in college capstone projects, ATL labs, IoT workshops, and hackathons across India

Need help choosing between the XIAO ESP32S3 Sense and other edge AI boards? Browse our AI Hardware collection or explore our full XIAO Series lineup including camera add-ons and expansion boards.

XIAO ESP32S3 Sense vs Standard – Which XIAO Should You Buy?

The XIAO ESP32-S3 family has three variants that look nearly identical but serve very different projects. If you're not sure which one to order, this table settles it.

Not sure yet? The Sense's camera and mic are detachable — you get full flexibility. Most developers building anything with vision or voice should default to the Sense. View the XIAO ESP32-S3 Standard board →