XIAO Smart Vision AI Camera for Edge AI Applications -Seeed Studio

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.