DFRobot has officially launched HUSKYLENS 2, a next-generation AI vision sensor that blends exceptional performance with remarkable ease of use. Designed for makers, educators, robotics teams, and AI enthusiasts, this compact device brings professional-grade artificial intelligence into accessible, real-world applications. Equipped with a 6 TOPS AI chip, HUSKYLENS 2 comes preloaded with more than 20 built-in AI models, including object tracking, hand recognition, and instance segmentation allowing users to start creating right out of the box.

What truly sets HUSKYLENS 2 apart is its built-in Model Context Protocol (MCP) service, the first of its kind in an AI vision sensor. This breakthrough enables large language models (LLMs) to better understand the physical world, transforming visual data into meaningful context. Moreover, users can easily train and deploy their own custom models, giving them the freedom to make the device recognize virtually anything. With compatibility across popular platforms like Arduino, micro:bit, ESP32, Raspberry Pi, and UNIHIKER, HUSKYLENS 2 is ideal for robotics, automation, and STEM education projects.

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Advanced On-Device Intelligence for Real-World Performance

At its core, HUSKYLENS 2 boasts a dual-core 1.6GHz CPU, 1GB of memory, and on-device AI computing power of 6 TOPS. Unlike cloud-dependent systems, it runs all algorithms locally, ensuring high-speed, low-latency processing. Whether using preloaded AI models or custom-trained ones, users can expect lightning-fast responsiveness and unwavering reliability ideal for educational labs, robotics competitions, and industrial automation.

Bridging AI Vision and LLM Understanding with MCP

By integrating the Model Context Protocol, HUSKYLENS 2 bridges on-device AI with the interpretive capabilities of large language models. This connection allows it to not only “see” but also “understand” what it observes. For example, when identifying food, it can go beyond simple recognition leveraging an LLM to provide nutritional insights and personalized recommendations.

Customize and Combine AI Models for Smarter Solutions

In addition to built-in models, HUSKYLENS 2 supports custom model deployment via YOLO. Its annotation, training, and conversion tools make it easy for users to build and integrate personalized vision solutions. Furthermore, it allows multiple AI models to run simultaneously users can, for instance, combine gesture recognition with object tracking to create more intuitive, interactive projects.

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Flexible Design, Seamless Integration, and Real-Time Streaming

Engineered for versatility, HUSKYLENS 2’s modular camera system adapts to diverse use cases from macro object recognition to long-range monitoring. It also supports both wired (USB-C) and wireless (Wi-Fi 6) real-time video transmission, offering low-latency performance and remote access for live projects.

Highlighting DFRobot’s mission, a company spokesperson said, “At DFRobot, we created HUSKYLENS 2 for makers, educators, competition teams, and AI enthusiasts worldwide. Our mission with HUSKYLENS 2 is to make advanced AI vision more accessible than ever before: easy to use, yet incredibly powerful and adaptable for diverse applications. We believe HUSKYLENS 2 will empower users everywhere to turn their boldest ideas into reality, accelerate hands-on learning, and help the next generation lead innovation in AI.”

In essence, HUSKYLENS 2 stands as a major leap forward in AI vision technology combining accessibility, customization, and intelligence to help creators everywhere build the future of smart, connected projects.

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