Machine Vision with HuskyLens

HuskyLens is an AI Machine Vision sensor based upon the powerful Kendryte K210 processor. Today we will take a look at this amazing device, both by itself and with an Arduino.

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The Kendryte K210 processor is a 64-bit RISC microcontroller which has been designed for machine vision and voice recognition applications. I’ve picked up a few sensors based upon this powerful microcontroller, and today we will look at one of them – the HuskyLens.

The DFRobot HuskyLens packages the power of the K210 with a video camera, small TFT screen and a microSD card socket. This powerful, yet inexpensive, device can perform several machine visions tasks including face recognition, object classification, object detection and line following, plus many more.

Today we will take a detailed look at the HuskyLens. After updating the firmware, we will put the device to the test in all of its different modes.

After that, we will hook a simple Arduino Uno to the HuskyLens and observe the data we can get back from it.

We will also see how we can perform more advanced functions with Arduino and HuskyLens, such as updating the text on the screen. And we will also see how to save our trained models using the microSD card.

I’ll even give you a quick peek at a small robot I’m deigning around the HuskyLens!

Here is the Table of Contents for today’s video:

00:00 – Introduction
02:32 – Look at HuskyLens
10:03 – Firmware Update
12:32 – Face Recognition demo
14:15 – Object Tracking Demo
15:24 – Object Recognition Demo
18:09 – Line Tracking Demo
19:24 – Color Recognition Demo
20:48 – Tag Recognition Demo
22:13 – Object Classification Demo
24:50 – HuskyLens with Arduino – UART Mode
31:25 – Changing Interface Type Manually
32:51 – HuskyLens with Arduino – I2C Mode
35:30 – Modifying HuskyLens Text
39:14 – Using the microSD Card
41:51 – Conclusion

As I said, I have a few sensors based upon the Kendryte K210, the HuskyLens is only one of them. I’ll be showing you more of these advanced machine learning devices in future episodes.

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