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Pi-Puck Extension for e-puck 2
712,50 €
650,00 €
587,50 €
1 687,50 €
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KEY FEATURES |
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WHAT IS AN AI? |
Artificial intelligence (AI) is the name we give to any inanimate system that shows the ability to cope with new situations (intelligence). Computer vision is an area of artificial intelligence that deals with the recognition of two-dimensional and / or three-dimensional objects - for example, the human face. Computer vision focuses on processing and analyzing a 2D image, how to convert one image to another, for example, with certain pixel operations such as contrast enhancement, local operations, edge extraction or noise removal, or geometric transformations such as image rotation. Computer vision tasks:
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VERSION |
PRO - for Education |
OVERVIEW |
HuskyLens is an easy-to-use AI machine vision sensor with 7+built-in functions: face recognition, object tracking, object recognition, line tracking, color recognition, tag recognition, object classification, Bar code recognition, QR code recognition. On the basis of including all functions of the maker version, the education version has been optimized for AI education and is more suitable for learning artificial intelligence. The differences are available here. Through the UART / I2C port, HuskyLens can connect to Arduino and micro:bit to help you make very creative projects without playing with complex algorithms. HuskyLens is pretty easy to use. You can change various algorithms by pressing the function button. Click the learning button, Husky lens starts learning new things. After that, HuskyLens is able to recognize them. Additionally, HuskyLens carries a 2.0 inch IPS screen. So you don’t need to use a PC in the parameters tuning. Enjoy the convenience it brings, what you see is what you get! HuskyLens is designed to be smart. It has the built-in machine learning technology that enables HuskyLens to recognize faces and objects. Moreover, by long-pressing the learning button, HuskyLens can continually learn new things even from different angles and in various ranges. The more it learns, the more accurate it is. DFRobot HuskyLens adopts the new generation of specialized AI chip Kendryte K210. The performance of this special AI chip is 1,000 times faster than that of the STM32H743 when running a neural network algorithm. With these excellent performances, it is capable of capturing even fast-moving objects. With the HuskyLens, your projects have new ways to interact with you or the environment, such as interactive gesture control, autonomous robot, smart access control, and interactive toy. There are so many new applications for you to explore. HuskyLens' object-tracking skills can be used to learn specific gestures. It is able to recognize those learned hand movement patterns and feed their positions. With these data, creating awesome interactive projects are never so easy. HuskyLens can detect and follow lines. Line follower is not something new, there are plenty of excellent methods and algorithms in this scenario. However, most of them require tedious parameters tuning. This time, HuskyLens provides a new way to do line following: simply click the button, then it starts learning and tracking new lines. Let's enjoy the fun of making with HuskyLens! Husky lens machines can be the eyes of robots. which allows your robot to recognize you, understand your hand gesture commands, or help you put stuff in order, and so on. With Huskylens, nothing is impossible! |
PROGRAMMING |
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PROJECTS |
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TUTORIAL |
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RELATED PRODUCTS |
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BASIC OR PRO? |
Two versions of the AI Vision Sensor are available - Basic for Makers and Education (Pro) for educational purposes. The differences are available here. |
NOTES |
This kit does not include micro:bit here. |
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Processor: |
Kendryte K210 |
Image Sensor: |
OV5640 (5.0MegaPixel Camera) |
Supply Voltage: |
3.3~5.0V |
Current Consumption (TYP): |
320mA@3.3V, 230mA@5.0V (face recognition mode; 80% backlight brightness; fill light off) |
Connection Interface: |
UART, I2C |
Display: |
2.0-inch IPS screen with 320*240 resolution |
Built-in Algorithms: |
Face Recognition, Object Tracking, Object Recognition, Line Tracking, Color Recognition, Tag Recognition, Bar code Recognition, QR Recognition |
Dimension: |
52mm * 44.5mm / 2.05 x 1.75inch |
VERSION |
MAKER (BASIC) |
EDUCATION (PRO) |
SKU |
SEN0305 |
SEN0336 |
CAMERA PIXEL |
200W pixels |
500W pixels |
ZOOM |
None |
Digital zoom |
COMMUNICATION |
UART, I2C USB (virtual serial port) |
UART, I2C USB (virtual serial port) Real-time image transfer via USB |
SCREEN |
Custom display results; Custom display text; Custom display pattern* |
Custom display results; Custom display text; Custom display pattern* |
DATA STORAGE |
Take photos and save into TF card; Take screenshots and save into TF card |
Take photos and save into TF card; Take screenshots and save into TF card |
AI FUNCTION |
Face recognition, face tracking, object recognition, object tracking, line tracking, color recognition, color block counting, tag recognition and object classification. Shape tracking* and sign recognition*. |
Face recognition, face tracking, object recognition, object tracking, line tracking, color recognition, color block counting, tag recognition and object classification. Shape tracking* and sign recognition*. Bar code recognition, QR code recognition |
AI MODEL |
KNN machine learning object classification; Face recognition model; 20 objects recognition |
KNN machine learning object classification; Face recognition model; 20 objects recognition |
DATA PREPROCESSING |
Data processing on board |
Data processing on board Visual data filtering on PC side; Visual data processing on PC side |
MODEL TRAINING |
Manual training; Program control training |
Manual training; Program control training PC control training; Model training on PC |
MODEL STORAGE AND USE |
Save trained model into TF card; Load trained model from TF card |
Save trained model into TF card; Load trained model from TF card Load the trained model from PC |
COURSE |
Online Wiki |
Excellent courses specially developed for AI education |
SUMMARY |
Mainly for maker and DIYer. Iti s easy to use and built in multiple AI functions, which help makers to innovate their projects with AI machine technology. |
For educational scenarios. It doesn't only allow students and teachers to quickly experience and apply AI, but also can connect to graphical programming software to visualize the teaching process of AI, and introductory principles of AI can be teached easily without abstraction. |
NOTE |
* Under development. |
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MORE INFORMATION |
VIEW |