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DFRobot HUSKYLENS AI Vision Sensor Intelligent Face and Object Recognition Sensor SEN0305

Category Vision Sensor Brand DFRobot Condition New

Specifications

Country of Origin China
Brand DFRobot
Model SEN0305
Series HUSKYLENS AI
Accessory Type Sensor
Standards/Approvals RoHS
Electronic Component Type Vision Sensor

Key Features

  • Equipped with multiple AI vision functions including line tracking and color recognition.
  • Interfaces via UART and I2C ports for compatibility with Arduino, Raspberry Pi, micro:bit, and LattePanda.
  • Designed for STEM education and creative project development without complex algorithms.
  • Compact and versatile sensor module ideal for robotics and AI learning applications.
  • Certified RoHS compliant and manufactured in China ensuring quality standards.
  • Enables quick integration into embedded systems with easy connectivity options.

Product Description

DFRobot SEN0305 HUSKYLENS AI Vision Sensor is a sophisticated robot component that combines AI functionalities with easy integration, designed for various STEM education and development applications. This vision sensor enables functionalities such as face recognition, object tracking, line tracking, color recognition, and QR code (tag) recognition, making it a versatile solution for robotics and AI-based projects.

The sensor communicates seamlessly via UART and I2C interfaces, allowing compatibility with popular microcontrollers and single-board computers including Arduino, micro:bit, Raspberry Pi, and LattePanda. Its design eliminates the need for users to deal with complex algorithms, providing a plug-and-play experience that boosts creativity and experimentation in electronic and robotics projects.

HUSKYLENS AI Vision Sensor supports a range of STEM electronic component applications and is well suited for laboratory, educational, and prototyping environments. As a certified RoHS product with manufacturing origins in China, it meets environmental safety standards.

Equipped with face recognition, object recognition, and tag recognition features. Supports line and color tracking for diverse project requirements. Easy to connect with mainstream control boards using UART / I2C ports. Enhances STEM education by eliminating complex algorithm programming.

Compact form factor suitable for embedded AI projects.

This sensor is ideal for users in industrial automation, educational programs, laboratory research, and hobbyist robotics development. It facilitates rapid prototyping and skill development in AI vision technology.

Explore detailed electronic sensor components and AI development tools within EnvMart's extensive product catalog.

DFRobot HUSKYLENS AI Vision Sensor Intelligent Face and Object Recognition Sensor SEN0305
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Frequently Asked Questions

This model supports face recognition, object tracking, line tracking, color recognition, and QR code recognition, making it versatile for various applications.

It communicates via UART and I2C interfaces, ensuring compatibility with popular platforms like Arduino, Raspberry Pi, micro:bit, and LattePanda.

The sensor is manufactured in China.

This unit is certified RoHS compliant, ensuring it meets environmental safety standards.

It eliminates the need for complex algorithm programming, providing a plug-and-play experience that fosters creativity and experimentation in electronic and robotics projects.

It is classified as a vision sensor, designed for various applications in robotics and AI development.

It features a compact form factor, making it suitable for embedded AI projects.

It is ideal for industrial automation, educational programs, laboratory research, and hobbyist robotics development.

It offers easy connectivity through UART and I2C ports for integration into various systems.

This model is categorized as a sensor and does not specify additional accessories included.

The primary purpose is to facilitate AI vision technology development and enhance learning in robotics and electronic projects.

The model number is SEN0305, part of the HUSKYLENS AI series by DFRobot.

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