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.
1. How to set up the XIAO Smart Vision AI Camera for the first time?
Connect the XIAO Smart Vision AI Camera to your computer via USB-C to power and access the device. Install the Seeed Studio drivers and flash the latest firmware using the provided toolchain. This AI camera for edge applications supports MicroPython and Arduino IDE for programming. Once set up, configure it for real-time tasks like face detection or motion tracking.
2. How to use the XIAO Smart Vision AI Camera for object recognition?
The Edge AI vision camera runs lightweight neural networks directly on its onboard processor for real-time inference. Load pre-trained models using TensorFlow Lite to enable the Smart Vision AI camera to detect and classify objects in its field of view. This allows standalone operation without cloud dependency, ideal for smart security or robotics.
3. How to integrate the XIAO Smart Vision AI Camera with IoT devices?
Connect the vision module for IoT to microcontrollers or gateways via UART, USB, or Wi-Fi for seamless integration. Use it to trigger actions based on visual input—like turning on lights when motion is detected. This AI camera for edge applications enhances automation in smart homes, industrial monitoring, or environmental sensing.
4. How to capture and process images using the XIAO Smart Vision AI Camera?
Use the onboard OV2640 sensor to capture up to 2MP images and process them directly on the Edge AI vision camera. The Smart Vision AI camera performs edge processing for low-latency response, making it suitable for robotics navigation or real-time anomaly detection. Store or stream data via microSD or network interface as needed.
5. How to train and deploy custom AI models on the XIAO Smart Vision AI Camera?
Train your model using PyTorch or TensorFlow on a PC, then convert it to a TFLite format compatible with the Smart Vision AI camera. Deploy the model using Seeed Studio’s deployment tools to the device’s flash memory. This flexibility allows the AI camera for edge applications to run tailored vision tasks like custom gesture control or logo detection.
1.What is the XIAO Smart Vision AI Camera used for?
The XIAO Smart Vision AI Camera is designed for edge AI applications like real-time object detection, facial recognition, and smart automation. You can use it in compact IoT projects where on-device vision processing improves speed and privacy. Its integration-ready design makes it ideal for intelligent, vision-enabled systems.
2. How does this Smart Vision AI Camera support Edge AI processing?
This Edge AI vision camera performs real-time image analysis directly on the device, eliminating the need for cloud processing. You get faster inference, reduced latency, and enhanced data privacy for time-sensitive applications. It runs lightweight neural networks locally, making it efficient for embedded AI tasks.
3. Can I use this AI camera for IoT projects?
Yes, the XIAO Smart Vision AI Camera serves as a powerful vision module for IoT systems, enabling devices to interpret visual data and act autonomously. It’s perfect for smart home security, robotics, and industrial monitoring where real-time decisions are critical. You can connect it to existing IoT networks seamlessly.
4. What kind of processor does the XIAO Smart Vision AI Camera use?
The camera is powered by a high-performance processor optimized for AI workloads, enabling efficient execution of computer vision models. This allows you to run inference tasks like classification and detection directly on the device. Its processing power makes it suitable for demanding embedded AI projects.
5. Does this Edge AI vision camera support wireless communication?
Yes, it includes built-in wireless connectivity, allowing you to transmit data and control the camera remotely over Wi-Fi. This enhances deployment flexibility in distributed IoT networks and supports over-the-air updates. You can integrate it easily into wireless smart systems.
6. What makes the XIAO Smart Vision AI Camera suitable for edge applications?
Its compact size, low power consumption, and onboard AI processing make it ideal for edge computing environments. You can deploy it in space-constrained or battery-powered setups without sacrificing performance. Local data processing ensures minimal latency and reliable operation.
7. Can beginners use this AI camera for learning computer vision?
Absolutely—this AI camera is beginner-friendly, with comprehensive documentation and strong Seeed Studio community support. You can quickly start experimenting with computer vision models and edge AI concepts. It’s a great platform for learning and prototyping without a steep learning curve.
8 . What are the key applications of this vision module for IoT?
This vision module for IoT is used in smart security, robotics, industrial inspection, and AI-powered monitoring systems. It enables real-time visual decision-making in autonomous devices. You can leverage its capabilities for any application requiring intelligent, on-device image analysis.
This product comes with a 1-year manufacturer warranty from the date of purchase, covering manufacturing defects only.
Warranty Void If:
The product shows signs of physical damage, mishandling, exposure to water/moisture, fire, natural calamities, unauthorized repairs, improper storage near heat or direct sunlight, or alteration in any way.