UNIHIKER K10 AI Educational Tool for Beginners

UNIHIKER K10 AI Educational Tool for Beginners Grades: K-12 Number of Students: 1 per kit Additional Resources: Product wiki Getting Started Tutorial - Getting Started with MindPlus graphical programming Software Examples MindPlus Blocks Reference Hardware Reference FAQ Highlights: The UNIHIKER K10 AI coding board is designed for K12 STEM education and beginners, combining vision AI, voice control, and TinyML machine learning in one compact device. This AI learning coding board features a 2.8-inch color display, dual wireless connectivity (Wi-Fi/Bluetooth), and a comprehensive sensor suite including a 2MP camera, microphone, speaker, RGB light, plus environmental detectors for temperature, humidity, light, and motion. With its edge connectors and Gravity IO interfaces, users can easily connect and control various digital/analog sensors, I2C/UART actuators, and other peripherals, creating complete IoT solutions without requiring additional hardware. Applications: AI Learning Machine Learning Face detection Speech recognition   Features: 4 Pre-Loaded Vision AI Models for Beginner Projects Ideal for first-time AI exploration, the UNIHIKER K10 board comes with four ready-to-use vision models: Face Detection, Pet Recognition (Cat/Dog), QR Code Scanning, and Motion Sensing. The integrated 2MP camera allows beginners to immediately create security systems, interactive displays, and smart monitoring projects - no prior programming experience needed. Supports Offline Speech Recognition Equipped with a built-in microphone and pre-installed voice models, the UNIHIKER K10 supports offline speech recognition. This enables users to create voice-activated applications, such as custom voice commands and interactive AI systems, without requiring an internet connection. Not Just Built-in Models The UNIHIKER K10 supports TinyML, allowing users to train their own custom vision and sensor models. With the ability to develop personalized AI models for specific tasks, users can explore deeper AI applications and tailor the board’s functionality to their unique projects. Whether working with image recognition, sensor data, or other AI-based tasks, TinyML offers the flexibility to push the boundaries of the board’s capabilities. Combine BT & Wi-Fi with AI to Create More Possibilities By combining Bluetooth 5.0 and Wi-Fi 2.4G with onboard AI functionality, the UNIHIKER K10 offers extensive connectivity options for creating more interactive and data-driven applications. Whether building IoT systems, remote control applications, or data transmission projects, the UNIHIKER K10 provides seamless integration of AI with wireless communication protocols. Support the Internet of Things The UNIHIKER K10 is designed with IoT applications in mind. It supports long-term data collection and remote monitoring, making it ideal for projects that require continuous data recording and analysis. With its rich set of sensors (temperature, humidity, light, accelerometer) and connectivity options (Wi-Fi, Bluetooth), users can easily integrate the UNIHIKER K10 into IoT ecosystems for real-time monitoring, remote device control, and data-driven applications. Built-in 2.8-inch Color Screen for Data Visualization The UNIHIKER K10 features a 2.8-inch color screen that enables users to visualize real-time data from sensors, AI models, and projects. This screen is ideal for displaying sensor readings, AI outputs, and project results directly on the board, providing immediate feedback. Rich Interfaces and High Expandability With an array of I/O ports, including USB Type-C, MicroSD, Gravity 3pin/4pin, and edge connectors, the UNIHIKER K10 offers rich expandability for connecting additional sensors, actuators, and accessories. Supports Graphical and MicroPython Programming The UNIHIKER K10 supports both graphical programming and MicroPython, catering to users at different skill levels. It is also compatible with Mind+, a drag-and-drop programming tool that simplifies coding with blocks. The graphical programming interface allows beginners to quickly build projects without needing to write code, while MicroPython offers a more advanced programming environment for experienced developers. The tool also offers a variety of sample projects to help users get started, such as: AI face detection QR code scanning sensor control   Curriculum or Lesson Topics: Here are just some examples of many things you can do with UNIHIKER: Build you own AI Friend Self-service Book Lending System Sustainable Habitat on Mars Project Automatic Cat Feeder Magic Wand Sensor E-nose Gas Detection   What's Included: UNIHIKER K10 x1 Type-C USB cable x1   Technical Specifications: MCU: ESP32-S3 Xtensa LX7 SRAM: 512KB Flash: 16MB Wi-Fi: 2.4G BT: Bluetooth 5.0 Screen: 2.8 inch, 240x320 Camera: 2MP Sensor: Button, Microphone, Temperature Sensor, Humidity Sensor, Light Sensor,Accelerometer Sensor Actuator: RGB Lights, Speaker Pre-Installed AI models:         Face Detection         Image Recognition         Cat/Dog Detection         QR Code Recognition         Motion Detection         Local Speech Recognition         Custom Voice Commands Port: USB Type-C, MicroSD, Gravity 3pin&4pin port, 2pin ph2.0 battery port, Edge connector Power: USB Type-C, Battery Port, Edge Connector Size: 51.6mmx83mmx11mm