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Addon Boards & Modules By androidpimpApril 8, 20203 Mins Read

HuskyLens by DFRobot Unveils AI Video Camera Capable of Deep Learning

By androidpimpApril 8, 2020Updated:April 12, 2023No Comments3 Mins Read
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ai camera huskylens
ai camera huskylens
Table of contents
  1. HuskyLens AI Vision Sensor
  2. All In One Board: designed for AI And Computer Vision
  3. Specifications
  4. Price and availability

HuskyLens AI Vision Sensor

DFRobot has created a low-cost deep learning AI video camera module that is capable of recognizing a wide selection of machine learning algorithms such as objects, faces, tags, QR codes, and colors.

Users can easily change the algorithms using the single button interface. Huskylens can start the learning process while running for the first time. You can connect it with any Microcontroller unit and play around it. This can be very interesting to make projects for the DIY community. It supports the popular micro: bit, Arduino and Raspberry Pi boards, those accelerating and simplifying the development of AI products.


All In One Board: designed for AI And Computer Vision

The HuskyLens cooperate a built new-generation AI chip called Kendryte K210. The main control unit is powered by a Dual-core RISC-V 64bit processor. The clock frequency is 400MHz of this unit. The expected performance of the AI chip can be 1,000 times faster than STM32 when you are going to run a neural network algorithm.

When the object or person appears in front of the camera, it is perceived by the camera, which runs it through the CPU and takes the action you have determined.

In the HuskyLens Pro edition, the module camera is equipped with an improved 5.0-megapixel sensor, against the previous Huskylens 2.0 megapixels. The Huskylens Pro is a faster response device, designed for AI applications that demand higher resolution. It’s constantly being developed more to improve functionality, including software support. It can definitely be used in education institutes for algorithm teaching in robotics DIY projects.


ai camera huskylens front
huskylens AI camera – front view
ai camera huskylens pro rear
huskylens AI camera – rearview

Specifications

  • Model: HuskyLens
  • 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
  • Supported Hardware:  Arduino, Raspberry Pi, LattePanda, micro: bit

HuskyLens AI Camera Specs
HuskyLens AI Camera Specs

HuskyLens vs HuskyLens PRO

 HuskyLensHuskyLens PRO
ProcessorKendryte K210Kendryte K210
Sensor videoOV2640 2 MpxOV5640 5 Mpx
Food3.3 ~ 5.0 V3.3 ~ 5.0 V
Current consumption[email protected] V220mA@ 5.0 V[email protected] V220mA@ 5.0 V
InterfacesUARTI2CUARTI2C
FunctionFace detection Object Color Character recognition recognition To follow objects Following the lineFace detection
Object recognition Color Character recognition To follow objects Following the line+ new features are added with the development of the device
Supported languagesEnglish Simplified ChineseEnglish Chinese, traditional Chinese Simplified Chinese new languages will be added in the future
Display Size2″2″
Type matrixIPSIPS
Resolution320 x 240 px320 x 240 px
 Slow camera
(Long transactions)Less resolution camera support system that will
limited only to develop functions
to from the device
Quick camera work
(Faster operation)Higher resolution camera Full support system
will be added new
functions and languages
there are functions to be developed In the future to improve
in the direction of the landing itself
in device requirements
educational

Price and availability

You can get HuskyLens for $54.90 and there is a range of other options like a protective silicon sleeve worth checking on the DFRobot site.

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