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

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

XIAO Smart Vision AI Camera for Edge AI Applications -Seeed Studio The XIAO Smart Vision AI Camera by Seeed Studio is a compact and powerful AI vision camera solution designed for edge AI applications. It integrates the Grove Vision AI V2 module, XIAO ESP32-C3 controller, and an OV5647 camera into a custom 3D-printed enclosure, delivering a seamless development experience. Powered by the Himax WiseEye2 platform with an Arm Cortex-M55 processor and Ethos-U55 NPU, this device offers efficient on-device AI processing. Supporting both TensorFlow and PyTorch frameworks, it ensures compatibility with the Arduino IDE and allows developers to deploy models without coding hassles. With real-time inference visualization provided by SenseCraft AI, it’s perfect for beginners and experienced developers working on innovative AI vision projects. Features: Powerful AI Processing Capabilities The Grove Vision AI Module V2 is powered by the WiseEye2 HX6538 processor, which features a dual-core Arm Cortex-M55 and an embedded Arm Ethos-U55 neural network unit. Deploy and Visualize AI Models without Coding SenseCraft AI offers built-in models (Mobilenet V1/V2, EfficientNet‑Lite, YOLO v5/v8) or custom datasets for "Quick Training" or "Image Collection Training." After training, models are deployed to the device with a single click and inference results are visualized in real-time on the web, eliminating the need for coding. Wi-Fi Enabled Smart Vision With the built-in Wi-Fi capabilities of the XIAO ESP32-C3, you may turn this device into an intelligent IP camera. Stream detection findings wirelessly and seamlessly interact with platforms like as Home Assistant, extending its utility across a wide range of smart home scenarios. This wireless link transforms simple object detection into networked intelligent vision, allowing for remote monitoring and smart automation applications. Local Closed-Loop Automation and Home Assistant Integration After deploying a model with SenseCraft AI and flashing ESPHome, users can integrate the XIAO Vision AI Camera into Home Assistant. Within the automation editor, users can trigger other devices or send notifications based on detection events (e.g., falls, object detection), enabling a fully local, closed-loop workflow from vision to action. Fully Open Source All code, design files, and schematics are available for modification and use. We may also assist you personalize the device to match your specific applications through our ODM services. Please contact us at iot[@] seeed.cc if you are interested. What is the performance of the XIAO Vision AI Camera? To quickly assess the performance of this board, we compared it to Seeed's other MCU-based vision AI boards: Grove - Vision AI Module, thumb-size, AI-powered camera, easy-to-use, customizable sensor, super low power cost. - Seeed Studio, Mini ESP-CAM Dev Board for Edge AI - XIAO ESP32S3 Sensor in four areas: These findings clearly show that the Grove Vision AI V2 in the XIAO Vision AI Camera is an excellent option for high-performance vision processing. How XIAO VIsion AI Camera Works? How to Use it? SenseCraft AI is a platform that allows for easy AI model training and deployment using no-code/low-code. It natively supports Seeed products, guaranteeing that trained models are fully adaptable to them. Furthermore, deploying models using this platform provides quick viewing of identification results on the website, allowing for rapid assessment of model performance. With the SenseCraft AI, you can easily integrate vision AI to your smart sensor with Grove Vision AI V2. This is ideal for tinyML applications. Connect the device, select a model, and check identification results to deploy off-the-shelf or bespoke AI models quickly and easily. Applications: Industrial Automation: Quality inspection, predictive maintenance, voice control, and so on. Smart City: Monitoring equipment, managing energy consumption, and so on. Transportation: Status monitoring, position tracking, and so on. Intelligent Agriculture: environmental monitoring, etc. Mobile IoT Devices: Wearable, handheld, and other types of devices.