Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Sensors |
| Origin | - |
| Brand | DFRobot |
| Model | HuskyLens |
| Interface | UART, I2C |
| Resolution | 320x240 pixels |
| Frame Rate | 35 FPS |
| AI Algorithms | Face Recognition, Object Tracking, Color Recognition, Line Tracking, Tag Recognition, Object Classification |
| Operating Voltage | 3.3V - 5.0V |
| Working Current | Approx. 260mA |
| Dimensions | 53mm x 38mm x 24mm |
| Compatibility | Arduino, Raspberry Pi, micro:bit, LattePanda |
Anonymous
Mar 30, 2026
Rating: 5/5
Best entry-level AI camera
As a beginner, I found this much easier to use than OpenCV on a Raspberry Pi. It handles all the heavy lifting onboard. Highly recommend for anyone starting with computer vision.
Anonymous
Mar 29, 2026
Rating: 5/5
Perfect for robotics projects
This sensor is incredibly easy to set up. The face recognition works flawlessly with my Arduino robot. The documentation is clear and the library examples got me running in minutes.
Anonymous
Mar 29, 2026
Rating: 4/5
Solid hardware, simple software
The hardware build quality is excellent. The I2C communication is stable. I wish there were more advanced customization options for the neural network thresholds, but for general use, it is perfect.
Anonymous
Mar 16, 2026
Rating: 4/5
Great value but needs good lighting
Overall a fantastic module for the price. Color recognition is very accurate. However, face tracking struggles a bit in low light conditions. Make sure your project has adequate illumination.
Anonymous
Mar 14, 2026
Rating: 5/5
Exceeded expectations
I was skeptical about the object classification feature, but it actually distinguishes between different shapes and items quite well. The UI on the device itself is intuitive for configuring settings without a PC.
Anonymous
Mar 13, 2026
Rating: 5/5
Ideal for STEM education
We bought ten of these for our high school robotics club. Students love how quickly they can get visual feedback. The line tracking algorithm is robust enough for competition mazes.
Q: Is it compatible with Python on Raspberry Pi?
A: Absolutely. We provide a Python library specifically for Raspberry Pi that allows easy integration via UART or I2C interfaces.
Q: What is the maximum detection range for objects?
A: The effective recognition range varies by algorithm, but generally, optimal performance for face and object recognition is between 20cm and 100cm.
Q: Can this sensor detect multiple faces at once?
A: Yes, the HuskyLens can detect and track multiple faces simultaneously, providing coordinates and IDs for each detected face.
Q: Does it require an internet connection to function?
A: No, the HuskyLens performs all AI processing locally on the device. No internet connection or cloud service is required for operation.
Q: Can I train it to recognize custom objects?
A: The current firmware supports learning specific tags and colors. For deep custom object training beyond the built-in classes, you would need to use the object classification mode with sample learning features provided in the menu.
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