HUSKYLENS 2: accessible AI vision for your Raspberry Pi projects

Integrating AI-based visual recognition into a project used to be a technical feat. The HUSKYLENS 2 makes this capability accessible to everyone: a standalone AI vision sensor that recognizes objects, faces and gestures, and communicates easily with a Raspberry Pi. Let's discover this small module with big possibilities.

Embedded, standalone AI

The strength of the HUSKYLENS 2 lies in its own built-in computing power: equipped with a Kendryte K230 processor delivering 6 TOPS, it performs recognition directly, without taxing the Raspberry Pi. The Pi simply receives the result (detected object, position, identity), which greatly simplifies development and frees up its resources.

What it can recognize

The module offers several modes: object recognition, face recognition, line tracking, color detection, tag reading and gesture recognition. You teach it what to recognize through simple training, without coding a model. This ease of use makes it a remarkable teaching tool for getting into visual AI.

Integration with Raspberry Pi

The HUSKYLENS 2 connects to the Pi via a simple interface (UART/I2C). A library lets you retrieve recognition results in a few lines of Python. The Pi can then act accordingly: trigger an action, drive a motor, send an alert. It is an ideal complement to the Pi's AI capabilities, to be weighed against our guide on AI HATs.

Concrete projects

  • Robot that follows a line or avoids obstacles
  • Automatic sorting system based on object recognition
  • Gesture control of a home automation setup
  • Educational project introducing computer vision

Ideal for education

Because it does not require advanced machine learning knowledge, the HUSKYLENS 2 is perfect in an educational setting. It illustrates the concepts of visual AI in a concrete way, and integrates well into educational platforms such as the CrowPi 3. Students immediately see the result of their work.

Local vision or dedicated accelerator?

For educational and prototyping projects, the HUSKYLENS 2 and its standalone approach are unbeatable in simplicity. For heavy inference on high-resolution video streams, an AI HAT+ paired with the Pi will be better suited. The two approaches complement each other depending on the project's ambitions.

Conclusion

The HUSKYLENS 2 democratizes AI vision: standalone, easy to train and simple to connect to the Raspberry Pi, it opens the door to a host of robotics and educational projects. To discover visual AI without the complexity, it is one of the best entry points on the market. Smart recognition, within everyone's reach.