DFROBOT HuskyLens Smart Vision Sensor

DFROBOT HuskyLens Smart Vision Sensor — image 1
DFROBOT HuskyLens Smart Vision Sensor — image 2
DFROBOT HuskyLens Smart Vision Sensor — image 3
DFROBOT HuskyLens Smart Vision Sensor — image 4
DFROBOT HuskyLens Smart Vision Sensor — image 5
86%
91%
Ease of Use
94%
AI Performance
89%
Compatibility with Platforms
87%
Customization/Adaptability
85%
Display Quality
93%
Setup and Installation
70%
Documentation/Support
83%
Power Efficiency
92%
Versatility for DIY Projects
90%
Size and Portability
75%
Customer Support
88%
Value for Money
More

Overview

The DFROBOT HuskyLens Smart Vision Sensor is a compact AI-powered device designed to enhance robotics, automation, and interactive tech projects. With compatibility for popular platforms like Raspberry Pi, Arduino, and Micro:bit, this sensor offers an easy-to-integrate solution for developers. Its 2.0-inch IPS display allows quick, on-the-spot configuration without needing an external PC. The sensor’s ability to perform face detection, object recognition, and line tracking makes it versatile for various applications, from DIY projects to educational setups.

Features & Benefits

This AI vision sensor stands out with its advanced Kendryte K210 chip, providing 1000x faster processing speeds compared to previous models. Its one-click learning feature simplifies customization, making it beginner-friendly for those new to AI and machine learning. It supports multiple recognition modes including faces, objects, and colors, offering flexibility for various tasks. Moreover, the integrated display eliminates the need for a connected PC, making this device more self-sufficient and portable.

Best For

The HuskyLens is an excellent choice for robotics enthusiasts who require an easy-to-implement AI sensor. It's perfect for developers using Raspberry Pi, Arduino, or Micro:bit platforms, as it integrates seamlessly with these systems. Whether you're working on DIY projects that involve object or face recognition, or looking to teach AI and machine learning in an educational setting, this sensor offers the versatility and ease of use needed for both simple and complex applications.

User Feedback

User feedback for this smart sensor is generally positive, with many appreciating its ease of use and fast setup process. The one-click learning feature has been highlighted as a major benefit, allowing users to quickly adapt the sensor to new tasks. While the device performs well in object and face recognition, some users have mentioned a need for better documentation for advanced functionalities. Overall, its compact size and wide range of applications have earned it favorable reviews from both hobbyists and professionals.

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Pros

  • Easy one-click learning process allows users to quickly customize settings without technical expertise.
  • Ideal for quick integration into DIY and educational robotics projects.
  • The compact size makes it perfect for space-constrained applications like small robots.
  • The 2.0-inch IPS display offers convenient on-the-spot configuration without needing a connected PC.
  • Recognition accuracy for both faces and objects is consistently praised by users.
  • Compatible with popular platforms like Raspberry Pi, Arduino, and Micro:bit, making it versatile for different projects.

Cons

  • Some users report limited documentation for advanced features, making it harder to explore full capabilities.
  • The 2.0-inch screen might be too small for more complex visual tasks or for users requiring detailed displays.
  • Not suitable for users needing extensive AI customization beyond the basic configuration.
  • Occasional issues with connectivity or compatibility with less common microcontroller platforms.
  • Battery life may be shorter than expected for extended robotics projects or continuous use.
  • The product may not be durable enough for heavy-duty industrial or outdoor use.

Ratings

After analyzing verified user reviews worldwide, across multiple languages and platforms, we’ve compiled the overall satisfaction with the DFROBOT HuskyLens Smart Vision Sensor. Spam, bot-generated, incentivized, and exaggerated reviews have been filtered out, ensuring that only authentic feedback informs these scores. While many users praise the sensor’s ease of use and AI capabilities, there are some concerns about documentation for advanced features and its specific applications in professional environments. Both strengths and pain points are reflected in the following ratings, which span a variety of sources and languages.

Ease of Use
91%
Many users praise the simplicity of this device, especially the one-click learning feature. It allows for quick configuration, making it ideal for beginners and hobbyists who don’t want to dive deep into technical details. The intuitive setup process saves time and makes getting started easy, even for those with minimal technical expertise.
However, a few users have noted that while the device is easy to set up, it may lack in-depth guides for more advanced customization. Some feel that more detailed documentation would help when experimenting with the sensor’s full capabilities in complex projects.
AI Performance
94%
The AI processing power of this sensor is one of its standout features, with many users impressed by its 1000x faster processing speed compared to other models. The Kendryte K210 chip delivers quick and accurate object recognition, making this sensor ideal for robotics and automation applications that require real-time processing without lag.
Despite its impressive AI performance, some users have expressed concerns about occasional inaccuracies in more complex recognition tasks. In certain environments with lower lighting or fast-moving objects, the sensor's recognition capabilities may not perform as expected.
Compatibility with Platforms
89%
This AI vision sensor is highly praised for its compatibility with popular platforms like Raspberry Pi, Arduino, and Micro:bit. Users in DIY and robotics projects find this versatility essential for easy integration, allowing them to work seamlessly with a variety of setups and development environments.
However, a small group of users reported difficulty when trying to interface with some custom hardware or platforms. Although it works well with most standard configurations, it might not be as flexible when paired with specific or niche devices that require more specialized drivers or adjustments.
Customization/Adaptability
87%
Many users appreciate the adaptability of this device, especially the one-click learning feature that simplifies customization for different tasks. It’s easy to adjust recognition modes based on project needs, and developers can fine-tune the sensor to perform in a variety of environments.
On the flip side, some users feel that the level of customization available might be somewhat limited for more advanced projects. While the basic features are user-friendly, experts seeking deeper control over recognition algorithms or more complex adjustments may find the options insufficient.
Display Quality
85%
The integrated 2.0-inch IPS display is a helpful feature that makes real-time adjustments and monitoring easier. Users appreciate the clarity and responsiveness of the screen, especially for on-the-spot configuration and feedback during projects.
Some users, however, feel that the screen could be a bit small for more detailed tasks, particularly for those who require larger visual feedback or need to interact with more complex data. While functional, the screen size may feel limiting for certain high-resolution projects.
Setup and Installation
93%
Setting up this sensor is straightforward, with minimal effort required to get it up and running. Most users report a hassle-free installation process, aided by the clear and concise instructions. The quick setup makes it a great choice for time-sensitive projects or those new to AI sensors.
Despite its ease of use, some users noted that the installation process might still be challenging for complete beginners who are unfamiliar with working with microcontrollers or similar hardware. Additionally, a few buyers mentioned the need for clearer instructions on advanced features for non-experienced users.
Documentation/Support
70%
30%
The basic documentation provided with this product is adequate for quick setup and basic functionality. Some users find it helpful to get started with the core features of the sensor without much technical background.
However, many users report that the documentation falls short when it comes to more advanced features and troubleshooting. The lack of in-depth guides and examples leaves some frustrated, especially when trying to implement complex recognition tasks or integrate the device into larger systems.
Power Efficiency
83%
Users are generally pleased with the power efficiency of this sensor. The low current consumption allows for longer battery life in mobile or remote applications, making it suitable for projects where power consumption is a critical factor.
However, a few users pointed out that the battery life could be longer when using the device for extended periods. In some cases, high-demand tasks or prolonged operation led to quicker battery drain, which may require more frequent recharges or power management.
Versatility for DIY Projects
92%
The HuskyLens excels in versatility, especially for DIY enthusiasts. It’s well-suited for a wide range of projects, from simple face detection to more intricate robotics tasks. Users appreciate its flexibility in both simple and complex applications, making it a go-to for hands-on makers and tinkerers.
That said, a small number of users felt that the sensor could be more versatile in specific applications, such as precise movement tracking in dynamic environments. In some cases, users wanted additional functionality or more options for expanding its recognition modes.
Size and Portability
90%
The compact size of this sensor is a definite plus for those working on projects where space is limited. Users like how easy it is to integrate into various setups, whether it's mounted on a robot or used in an automation system.
Some buyers mentioned that the small size can limit its usability for certain projects that require a larger interface or more elaborate visual feedback. While portable, the design may not suit every specific need, particularly in large-scale installations.
Customer Support
75%
25%
When users reached out to customer support, many reported quick responses to basic inquiries, particularly regarding setup and general troubleshooting. This support was especially helpful for beginners who needed assistance with initial configurations.
However, some customers felt that the support team could be more helpful with advanced technical queries, particularly when dealing with customization or troubleshooting in complex projects. Responses for more in-depth questions were sometimes slow or not as comprehensive.
Value for Money
88%
Overall, many users agree that this sensor offers great value for its price. Its performance and capabilities, particularly in AI-powered applications, are seen as impressive given the relatively affordable cost. For DIY enthusiasts and developers, it provides good bang for the buck.
On the downside, some buyers felt that the price could be lower for more basic users who only need the most basic functions. While its features are strong, a few felt that it was priced at a premium compared to similar sensors with fewer advanced capabilities.

Suitable for:

The DFROBOT HuskyLens Smart Vision Sensor is an excellent choice for robotics enthusiasts, DIY hobbyists, and developers working with platforms like Raspberry Pi, Arduino, and Micro:bit. Its compact size and versatile features, including object recognition, face detection, and line tracking, make it ideal for educational projects and interactive tech setups. Beginners and intermediate users alike will benefit from the intuitive one-click learning system, which simplifies customization. For instance, students learning AI and machine learning will find this sensor an effective tool to demonstrate concepts in real-world projects, while robotics enthusiasts can easily integrate it into their robots for basic vision tasks.

Not suitable for:

However, this device may not be the best fit for advanced users or those requiring deep customization. Some users have pointed out the limitations in the available documentation, particularly for complex tasks or specialized use-cases. If you're looking to use this in high-precision environments, or need advanced AI adjustments and fine-tuning, you may find the lack of in-depth guides frustrating. Moreover, users who require larger display screens or more expansive visual feedback may feel constrained by the 2.0-inch IPS display, which might not meet the needs of projects with more intricate visual requirements.

Specifications

  • Processor: Equipped with the Kendryte K210 chip for fast AI processing, 1000x faster than the STM32H743.
  • Display: 2.0-inch IPS screen with a resolution of 320×240 for clear and sharp visual feedback.
  • Image Sensor: OV2640 2.0MP image sensor for high-quality visual data capture.
  • Recognition Modes: Supports multiple recognition modes, including face, object, color, line tracking, and tag recognition.
  • Power Source: Powered by a battery, offering portability for various applications.
  • Current Consumption: Current consumption is 320mA at 3.3V and 230mA at 5V.
  • Voltage: Operates within a voltage range of 3.3V to 5.0V.
  • Mounting Type: Designed for wall mount installation, providing flexibility for project setups.
  • Interface: Supports UART and I2C interfaces for easy communication with other devices.
  • Compatibility: Compatible with Raspberry Pi, Arduino, and Micro:bit platforms, making it ideal for a range of development projects.
  • Dimensions: Compact form factor with dimensions of 52mm × 44.5mm.
  • Weight: Lightweight, weighing only 0.352 ounces, which enhances portability and ease of use.
  • AI Processing Speed: The advanced AI chip allows for real-time processing and recognition, enabling quick and efficient results.
  • Customization: Features one-click learning for easy customization and rapid adaptation to different recognition tasks.
  • Display Functionality: Integrated 2.0-inch display eliminates the need for a connected PC during operation, enhancing ease of use.
  • Recommended Use: Recommended for robotics, automation, and interactive tech projects, offering versatile applications in these areas.
  • Software Support: Supports easy software integration for developers working on DIY projects and educational applications.
  • Power Efficiency: The device operates efficiently, ensuring prolonged usage on a single charge for continuous operations.
  • Durability: Compact and sturdy design suitable for educational and DIY environments, though not designed for heavy-duty industrial use.

FAQ

This AI-powered vision sensor is designed for use in robotics, automation, and interactive technology projects. It offers capabilities like object recognition, face detection, and line tracking, making it ideal for DIY projects and educational applications.

Setting up this device is straightforward. After connecting it to a Raspberry Pi, Arduino, or Micro:bit, you can use the one-click learning feature to start recognizing faces, objects, or tags. The integrated 2.0-inch display allows for on-the-spot adjustments without a PC.

The sensor features a Kendryte K210 chip for fast AI processing, capable of recognizing faces, objects, colors, and tags. It supports multiple recognition modes and has a built-in 2.0-inch display for direct configuration.

Yes, this smart sensor is fully compatible with Raspberry Pi, Arduino, and Micro:bit, allowing easy integration into existing projects. This makes it a versatile choice for hobbyists and developers working with these platforms.

Users report that the recognition accuracy for both faces and objects is quite impressive. The sensor quickly identifies objects, faces, and colors, with reliable results in typical DIY and robotics projects.

Yes, the sensor has an integrated display that allows you to configure settings and operate it without needing a connected PC. This makes it highly portable and user-friendly for real-time adjustments.

This sensor works seamlessly with popular development platforms like Raspberry Pi, Arduino, and Micro:bit. This broad compatibility makes it suitable for a variety of robotics, automation, and DIY projects.

Yes, the HuskyLens supports line tracking as one of its recognition modes. This is particularly useful for robotics projects that require the sensor to follow specific paths or lines autonomously.

Some users have reported that the documentation could be more detailed, especially for advanced features. This can make it challenging for beginners to fully explore all of its capabilities.

While the sensor is great for most educational and DIY projects, it may not be durable enough for industrial or heavy-duty applications. It's better suited for small-scale robotics and interactive technology projects.