Attributes

Brand	-
Category	Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards
Origin	-
Processor	Himax WiseEye2 HX6538-A
Interface	Grove I2C / UART
Compatibility	Arduino, Raspberry Pi, Seeed Studio XIAO
On-board Models	Face Detection, Person Detection, Object Classification
Custom Model Support	Yes, via Seeed Studio Model Assistant
Camera Resolution	VGA (640x480)
Power Supply	3.3V or 5V DC
Dimensions	40mm x 20mm x 12mm
Operating Temperature	-10°C to 60°C
Package Includes	1x Grove Vision AI V2 Module, 1x Grove Cable

6 reviews

Anonymous

Mar 29, 2026

Rating: 5/5

Perfect for edge AI projects

This module makes deploying AI models incredibly easy. The integration with Arduino was seamless, and the pre-loaded models worked right out of the box. Highly recommended for prototyping.

Anonymous

Mar 15, 2026

Rating: 5/5

Fast inference speed

I am impressed by how fast this processes images compared to running similar models on a standard microcontroller. It has significantly improved the response time of my robot project.

Anonymous

Mar 12, 2026

Rating: 5/5

Exceeded expectations

I bought this to test face recognition for a smart door lock. The accuracy is surprisingly good even in varying light conditions. Setup took less than 30 minutes.

Anonymous

Mar 09, 2026

Rating: 4/5

Solid addition to the Grove ecosystem

Fits perfectly with my existing Seeed Studio setup. The only reason for 4 stars is that I wish it had a higher resolution camera option, but for the price, it's unbeatable.

Anonymous

Mar 08, 2026

Rating: 4/5

Great hardware, learning curve on software

The hardware quality is excellent and the Grove connector is very convenient. It took me a little while to understand how to upload custom models, but the documentation eventually helped.

Anonymous

Mar 02, 2026

Rating: 5/5

Ideal for students

As a student learning about computer vision, this board is a game changer. It abstracts away the complex math and lets me focus on application logic. Very affordable too.

5 FAQ

Q: Can I train my own custom object detection model and upload it to this module?

A: Yes, you can train custom models using TensorFlow Lite or PyTorch and deploy them easily using the Seeed Studio Model Assistant web tool.

Q: Does it work in low-light conditions without an external IR illuminator?

A: While it can detect objects in dim light, performance may degrade in complete darkness. For night vision applications, we recommend adding an external IR light source.

Q: What is the power consumption during active inference?

A: The module typically consumes around 150mA to 200mA during active image processing and inference, depending on the complexity of the model used.

Q: How many models can be stored on the device at once?

A: The module allows you to store multiple models, but only one can be active at a time. You can switch between them via code commands.

Q: Is this module compatible with the ESP32?

A: Yes, as long as your ESP32 board supports I2C communication and has a Grove interface or compatible pins, you can use this module.

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