DFROBOT HUSKYLENS Smart Vision Sensor for Raspberry Pi, LattePanda or Microbit | AI Camera Support Object/Line Tracking, Face/Object/Color/Tag Recognition
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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 Recognition
HuskyLens is designed to be smart with machine learning technology, allowing it to recognize faces and objects with extreme performance
DFROBOT HUSKYLENS Smart Vision Sensor for Raspberry Pi, LattePanda or Microbit | AI Camera Support Object/Line Tracking, Face/Object/Color/Tag Recognition
Numéro d'article: 24792132

DFROBOT HUSKYLENS Smart Vision Sensor for Raspberry Pi, LattePanda or Microbit | AI Camera Support Object/Line Tracking, Face/Object/Color/Tag

Numéro d'article: 24792132

€ 44

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Commandez maintenant et recevez votre commande aux alentours du Jeudi, Juin 25
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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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Ce qui se démarque

Advanced AI Recognition
Equipped with powerful AI technology, the HUSKYLENS offers superior object, face, and color recognition, elevating your projects with smart interaction capabilities.
Versatile Compatibility
Designed for seamless integration with LattePanda, Raspberry Pi, and Micro:bit, this sensor ensures compatibility across various platforms, catering to a broad spectrum of developers and hobbyists.
User-Friendly Design
The included silicone case enhances durability while ensuring an easy setup. This thoughtful design allows users of all skill levels to dive into AI-powered projects effortlessly, saving time and effort.

Détails du produit

Shop DFROBOT HUSKYLENS Smart Vision Sensor for Raspberry Pi, LattePanda or Microbit | AI Camera Support Object/Line Tracking, Face/Object/Color/Tag Recognition online at a best price in Martinique. B085NL4XCB
Item Weight0.3 lbs (140 grams)

À qui est-ce destiné ?

Suitable For
  • Educators in STEM

    Teachers looking to introduce AI and robotics concepts to students will find this sensor highly beneficial for hands-on learning.

  • Hobbyist Developers

    DIY enthusiasts and hobbyists can use this smart vision sensor to enhance their projects with advanced tracking and recognition capabilities.

  • Robotics Researchers

    Researchers focusing on computer vision and automation can utilize the sensor for experiments in object detection and recognition.

Not Suitable For
  • Complete Beginners

    Users with no prior experience in programming or electronics may find it challenging to set up and use effectively.

  • Casual Users

    Individuals seeking a simple camera for basic photography may not need the advanced features offered by this sensor.

  • Cost-Sensitive Buyers

    Those on a tight budget may find better-suited alternatives that fulfill basic camera functionalities without the extra features.

DESCRIPTION DU PRODUIT

DFROBOT HUSKYLENS Smart Vision Sensor for Raspberry Pi, LattePanda or Microbit | AI Camera Support Object/Line Tracking, Face/Object/Color/Tag Recognition

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What platforms is the DFROBOT HUSKYLENS Smart Vision Sensor compatible with?

    répondre: 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.
  • question: How does the face recognition feature work in HUSKYLENS?

    répondre: 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.
  • question: Can HUSKYLENS support object-line tracking?

    répondre: 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.
  • question: What is the role of Object Color Tagging in HUSKYLENS?

    répondre: 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.
  • question: What programming languages can be used with HUSKYLENS?

    répondre: 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.
  • question: What kind of projects can you build using the HUSKYLENS?

    répondre: 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.
  • question: What is the resolution of the HUSKYLENS camera?

    répondre: 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.
  • question: Can you connect multiple HUSKYLENS sensors together?

    répondre: 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.
  • question: Is HUSKYLENS suitable for beginners?

    répondre: 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.
  • question: Where can I buy DFROBOT HUSKYLENS Smart Vision Sensor in Martinique?

    répondre: You can purchase the DFROBOT HUSKYLENS Smart Vision Sensor from Ubuy in Martinique. 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.

Avis et évaluations clients

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Avantages

  • 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

Les inconvénients

  • Software installation can be difficult

Historique des prix du produit

Informations importantes

  • Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
  • Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

€ 44

Commandez maintenant et recevez votre commande aux alentours du Jeudi, Juin 25

QTY:

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Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

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Caractéristiques et avantages

  • 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