Description
Reviews
| Brand | - |
| Category | Electronic Components / Maker DIY / Development Boards & Control Boards |
| Origin | - |
| Brand | Seeed Studio |
| Interface | I2C, UART |
| Camera Resolution | 640 x 480 pixels |
| Frame Rate | 60 FPS |
| Compatibility | Arduino, Raspberry Pi, STM32 |
| Input Voltage | 5V DC |
| AI Capabilities | Object, Color, Line Recognition |
| Processor | Himax WiseEye2 |
| Dimensions | 24 x 24 x 10 mm |
| License | Open Source Hardware & Software |
Anonymous
Apr 06, 2026
Rating: 5/5
Impressive AI speed
The object recognition is surprisingly fast for this price point. I used it for a sorting mechanism and it reacts instantly.
Anonymous
Mar 26, 2026
Rating: 5/5
Perfect for my robotics project
Integrated easily with my Arduino Uno. The object recognition is accurate enough for my line-following robot upgrade. Highly recommend for hobbyists.
Anonymous
Mar 02, 2026
Rating: 5/5
Best vision sensor for beginners
Used this for a university project. The open-source libraries saved us a lot of time. Great value for money.
Anonymous
Feb 25, 2026
Rating: 4/5
Great module, steep learning curve
Hardware is solid but documentation could be more detailed for beginners. Once you get it working, it performs well.
Anonymous
Jan 21, 2026
Rating: 5/5
Low power consumption
Runs cool and doesn't drain battery quickly on my portable device. The 5V input is standard and easy to wire.
Q: Is the library available in Python?
A: Yes, we support Python libraries along with C++ for Arduino IDE. You can find them on our GitHub repository.
Q: What is the maximum cable length?
A: We recommend keeping I2C cables under 30cm for stability. UART can handle slightly longer distances depending on baud rate.
Q: Can it detect specific colors?
A: Yes, color recognition is one of the core features. You can train it to recognize specific color ranges.
Q: Does this work with Raspberry Pi?
A: Yes, it is compatible with Raspberry Pi via UART or I2C interfaces. Please check our wiki for specific pinout diagrams.
Q: What lighting conditions are best?
A: It works best in normal indoor lighting. Direct sunlight or very low light may affect recognition accuracy.
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