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DFROBOT HUSKYLENS Smart Vision Sensor for Raspberry Pi, LattePanda or Microbit | AI Camera Support Object/Line Tracking, Face/Object/Color/Tag
SEK 533
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HuskyLens is designed to be smart with machine learning technology, allowing it to recognize faces and objects with extreme performance
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Produktinformation
| Item Weight | 0.3 lbs (140 grams) |
Vem bör köpa?
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Educators in STEM
Teachers looking to introduce AI and robotics concepts to students will find this sensor highly beneficial for hands-on learning.
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Hobbyist Developers
DIY enthusiasts and hobbyists can use this smart vision sensor to enhance their projects with advanced tracking and recognition capabilities.
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Robotics Researchers
Researchers focusing on computer vision and automation can utilize the sensor for experiments in object detection and recognition.
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Complete Beginners
Users with no prior experience in programming or electronics may find it challenging to set up and use effectively.
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Casual Users
Individuals seeking a simple camera for basic photography may not need the advanced features offered by this sensor.
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Cost-Sensitive Buyers
Those on a tight budget may find better-suited alternatives that fulfill basic camera functionalities without the extra features.
PRODUKTBESKRIVNING
DFROBOT HUSKYLENS Smart Vision Sensor for Raspberry Pi, LattePanda or Microbit | AI Camera Support Object/Line Tracking, Face/Object/Color/Tag Recognition
Kundfrågor och svar
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fråga:
What platforms is the DFROBOT HUSKYLENS Smart Vision Sensor compatible with?
svar: The DFROBOT HUSKYLENS Smart Vision Sensor is compatible with popular development platforms such as Raspberry Pi, LattePanda, and Micro:bit. This versatility allows users to easily integrate the sensor into various projects, whether in robotics, home automation, or other AI applications. Its compatibility with these platforms ensures that enthusiasts, educators, and professionals alike can leverage it for diverse use cases, from building smart robots that recognize objects and faces to creating interactive projects that require visual input. -
fråga:
How does the face recognition feature work in HUSKYLENS?
svar: The face recognition feature of the HUSKYLENS utilizes advanced algorithms and machine learning techniques to identify and track human faces. The sensor captures images and analyzes facial features against its data set, allowing it to recognize and tag individuals. This functionality is particularly useful in projects aimed at developing security systems, attendance trackers, or interactive educational tools where user identification enhances the experience. By efficiently processing visual data, HUSKYLENS can interact intelligently based on the recognized face. -
fråga:
Can HUSKYLENS support object-line tracking?
svar: Yes, the HUSKYLENS Smart Vision Sensor supports object line tracking, enabling it to detect and follow lines or paths in its visual field. This feature is particularly valuable in robotics projects, such as line-following robots, where precise navigation along designated paths is crucial. The sensor's ability to distinguish between colors and patterns allows it to effectively adhere to programmed paths, making it an excellent choice for educational robotics, competitions, or hobbyist projects. -
fråga:
What is the role of Object Color Tagging in HUSKYLENS?
svar: Object Color Tagging in HUSKYLENS allows it to recognize and differentiate objects based on color. By associating specific colors with commands or actions, users can create interactive systems that respond dynamically to various colored objects. For example, in children's educational games, the sensor can be programmed to react differently when presented with red versus blue objects, enhancing learning through color recognition. This feature expands the creative possibilities for projects involving visual identification and interaction. -
fråga:
What programming languages can be used with HUSKYLENS?
svar: The DFROBOT HUSKYLENS is compatible with multiple programming languages, including Python and Arduino, making it accessible for a wide audience. This flexibility allows both beginners and advanced users to utilize the sensor effectively in their projects. For example, you can write Python scripts to control actions based on what the sensor sees, or use an Arduino sketch to integrate it into a microcontroller-based application. This broad programming support ensures that developers can leverage their preferred language for enhanced productivity. -
fråga:
What kind of projects can you build using the HUSKYLENS?
svar: Using HUSKYLENS, you can build a wide variety of innovative projects, such as autonomous robots that navigate through environments, smart home systems that recognize household members, and educational tools that encourage interactive learning. For instance, you might create a robot that delivers items based on recognizing color codes or an art project where the sensor identifies and reacts to different objects in the environment. The possibilities are extensive, making it a great resource for education, hobbyists, and professionals alike. -
fråga:
What is the resolution of the HUSKYLENS camera?
svar: The HUSKYLENS camera features a resolution of 640x480 pixels, providing a clear image quality for various applications. This resolution allows the sensor to effectively capture details necessary for functions such as face recognition and object tagging. While this level of resolution is often sufficient for basic visual applications, it can be particularly effective in robotics and educational projects where high-resolution imagery is not critical, yet clear identification is essential for interaction and tracking. -
fråga:
Can you connect multiple HUSKYLENS sensors together?
svar: Yes, it is possible to connect multiple HUSKYLENS sensors to a single platform, enabling more complex projects that require extensive visual input. By synchronizing multiple sensors, users can enhance capabilities such as multi-angle tracking and improved object recognition over broader areas. This approach is ideal for applications in robotics that require comprehensive environmental sensing or in interactive installations where different perspectives are needed for user interaction. -
fråga:
Is HUSKYLENS suitable for beginners?
svar: Absolutely, HUSKYLENS is designed with user accessibility in mind, making it suitable for beginners as well as seasoned developers. With straightforward setup procedures and compatibility with popular programming environments, users can get started right away. Additionally, comprehensive documentation and a wealth of online resources provide guidance for novices, allowing them to quickly grasp concepts related to vision sensors and begin creating their own projects. -
fråga:
Where can I buy DFROBOT HUSKYLENS Smart Vision Sensor in Sweden?
svar: You can purchase the DFROBOT HUSKYLENS Smart Vision Sensor from Ubuy in Sweden. Ubuy offers a reliable and convenient platform for acquiring this innovative product, ensuring you have access to the latest technology for your projects. With a user-friendly interface and a wide selection of electronics, Ubuy facilitates an effortless shopping experience for tech enthusiasts looking to enhance their DIY or educational projects with advanced vision sensor technology.
DFROBOT Single Board Computers Editorial Review
The DFROBOT HUSKYLENS has received mixed reviews. While some customers found it easy to use and enjoyed its potential for projects, others faced issues with the power supply and software installation. It is easy to train to detect objects and colors and has built-in lights for retroreflectors. The camera is a standard OV2640 (2 megapixel camera) and may not be able to identify distant insects. It only recognizes April Tags and not barcodes. The device can be connected to various boards, including Arduino Uno and Node MCU. While the built-in software is okay, the instructions on customizing it are lacking. The tutorial page is available on the Huskylens website and YouTube, but it requires the installation of CP 210x drivers, which some customers were unable to do.
Kundrecensioner & betyg
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5 stjärna
100%
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4 stjärna
0%
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3 stjärna
0%
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2 stjärna
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1 stjärna
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Fördelar
- Easy to train to detect objects and colors
- Built-in lights for retroreflectors
- Can be connected to various boards, including Arduino Uno and Node MCU
- Recognizes April Tags
Nackdelar
- Software installation can be difficult
Produktens prishistorik
Viktig information
- Begränsningar: För produkter som levereras internationellt, observera att tillverkarens garanti inte är giltig. Tillverkarens servicealternativ kanske inte är tillgängliga; produktmanualer, instruktioner och kanske inte finns på destinationslandets språk; produkterna (och medföljande material) får inte utformas i enlighet med destinationslandets standarder, specifikationer och märkningskrav. och produkterna kanske inte överensstämmer med destinationslandets spänning och andra elektriska standarder (kräver användning av en adapter eller omvandlare om det är lämpligt). Mottagaren ansvarar för att produkten lagligt kan importeras till destinationslandet. Vid beställning från Ubuy eller dess partners är mottagaren importör och måste följa alla lagar och förordningar i destinationslandet.
- Alla produkter på Ubuy är inte till salu, eftersom Ubuy är en global sökmotor. Produkterna omfattas av export-/handelsbestämmelser.
SEK 533
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Ubuy arbetar hårt för att skydda din säkerhet och integritet. Vårt avancerade betalningssäkerhetssystem säkerställer konfidentialitet genom att kryptera din information vid överföring med hjälp av AES (Advanced Encryption Standards) och SSL (Secure Socket Layer) protokoll. Dina betalningsuppgifter är 100% säkra eftersom vi inte delar dem med tredjepartssäljare.
Funktioner
- Smart Vision Sensor with Machine Learning
- Recognizes Faces and Objects
- Onboard 2.0 inch IPS screen
- 1,000 times faster performance with Kendryte K210 chip