Facilitates AI & IoT learning with K10 and M10 kits
Offers TinyML features for elementary STEM education
Supports advanced AI & IoT applications with Debian OS
Includes touchscreen and multiple sensors for data visualization
Aligns with K12 AI curriculum standards for education
The DFRobot UNIHIKER K10 + M10 AI & IoT Code Learning Tool Kit is an educational package designed to facilitate a comprehensive learning experience in artificial intelligence and the Internet of Things. The UNIHIKER K10 is an entry-level device that introduces users to AI concepts with pre-installed vision models and TinyML capabilities, making it suitable for elementary STEM education and homeschool foundations. It features a user-friendly interface with drag-and-drop AI blocks that generate MicroPython code, allowing tactile learners to engage with AI concepts effectively. The device is equipped with multiple sensors and a 2.8-inch screen for visualizing data, making it ideal for simple IoT setups and classroom applications.
The UNIHIKER M10 complements the K10 by offering advanced computational power and IoT integration, suitable for high school robotics and college-level prototyping. It operates on a Debian OS and supports professional tools like VS Code, providing an industry-standard environment for developing complex projects. The M10 facilitates the training and deployment of MobileNet models and supports large-scale IoT systems with its built-in Jupyter Notebook and Python-driven API integration. This makes it an excellent tool for smart campus simulations and other sophisticated IoT applications.
Together, the K10 and M10 create a unified hardware and software ecosystem that supports a wide range of educational and prototyping applications. They enable users to transition from basic AI literacy to advanced AIoT system development, bridging the gap between block coding and Python/ML programming. The kit is aligned with K12 AI curriculum standards and is suitable for rapid prototyping and research projects, such as environmental data analysis and robotics.
Note: Ensure proper handling and usage of electronic components to avoid damage or injury.
Pre-installed AI models: Face Detection, Image Recognition, Cat/Dog Detection, QR Code Recognition, Motion Detection, Local Speech Recognition, Custom Voice Commands
