Gravity: HUSKYLENS with Silicone Case
In stock, ships same business day if ordered before 2PM
Fastest delivery: Tomorrow*
Disclaimer:
For next-day delivery, the shipping address must
be in the AusPost next-day network, eParcel Express must be selected, and the order must be placed
before 2PM AEST Mon-Thurs excluding NSW Public Holidays. Orders may be delayed due to AusPost
pickup timings and order verifications. eParcel Express is typically a 1-day service within the
AusPost next-day network, though it is sometimes 2+ days.
Quantity Discounts:
- 5-10 $95.95 (exc GST)
- 10+ $92.95 (exc GST)
HuskyLens is an easy-to-use AI machine vision sensor. It is equipped with multiple functions, such as face recognition, object tracking, object recognition, line tracking, color recognition, and tag(QR code) recognition.
Through the UART / I2C port, HuskyLens can connect popular main control boards like Arduino, micro: bit, Raspberry Pi and LattePanda 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, HuskyLens 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.
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!
HuskyLens can be 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!
HuskyLens AI Vision Sensor Useful Functions
Specification
- Processor: Kendryte K210
- Image Sensor: OV2640 (2.0Megapixel Camera)
- Supply Voltage: 3.3~5.0V
- Current Consumption (TYP): [email protected], [email protected] (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
- Dimension: 52mm * 44.5mm / 2.05 x 1.75inch
Projects
- Interfacing Huskylens with Raspberry Pi Pico
- Happy New Year Trigger
- Line Follower using Image Processing
- Easy Machine Learning on Arduino/Raspberry Pi with DFRobots HuskyLens!
- Insane Arcade Project using Attract Mode and Dynaframes
- DIY Robot with AI vision sensor for Object classification
- Huskylens Object tracking - Arduino Servo Pan and Tilt
Documents
Parts List
- HuskyLens Mainboard x1
- M3 Screws x6
- M3 Nuts x6
- Small Mounting Bracket x1
- Heightening Bracket x1
- Gravity 4-Pin Sensor Cable x1
- Silicone Case
Exact shipping can be calculated on the view cart page (no login required).
Products that weigh more than 0.5 KG may cost more than what's shown (for example, test equipment, machines, >500mL liquids, etc).
We deliver Australia-wide with these options (depends on the final destination - you can get a quote on the view cart page):
- $3+ for Stamped Mail (typically 10+ business days, not tracked, only available on selected small items)
- $7+ for Standard Post (typically 6+ business days, tracked)
- $11+ for Express Post (typically 2+ business days, tracked)
- Pickup - Free! Only available to customers who live in the Newcastle region (must order online and only pickup after we email to notify you the order is ready). Orders placed after 2PM may not be ready until the following business day.
Non-metro addresses in WA, NT, SA & TAS can take 2+ days in addition to the above information.
Some batteries (such as LiPo) can't be shipped by Air. During checkout, Express Post and International Methods will not be an option if you have that type of battery in your shopping cart.
International Orders - the following rates are for New Zealand and will vary for other countries:
- $12+ for Pack and Track (3+ days, tracked)
- $16+ for Express International (2-5 days, tracked)
If you order lots of gear, the postage amount will increase based on the weight of your order.
Our physical address (here's a PDF which includes other key business details):
Unit 18, 132 Garden Grove Parade
Adamstown
NSW, 2289
Australia
Take a look at our customer service page if you have other questions such as "do we do purchase orders" (yes!) or "are prices GST inclusive" (yes they are!). We're here to help - get in touch with us to talk shop.
Have a product question? We're here to help!
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Videos
View AllGuides
YOLO Pose Estimation on the Raspberry Pi AI Hat+ | Writing Custom Python Code
YOLO Object Detection on the Raspberry Pi AI Hat+ | How to Write Custom Python Code
Getting Started with YOLO Pose Estimation Recognition on the Raspberry Pi
Face Recognition With Raspberry Pi and OpenCV
Projects
safePower
ESP32 IR-Triggered Camera with Home Assistant Integration
LuMa 1 - The Neo Disco Ball
Educational Workshops
Raspberry Pi Workshop for Beginners
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