UNIHIKER K10 AI Coding Board for K12 STEM Learning & Innovatio: (Computer Vision, Offline Voice Recognition, TinyML): Empower students with hands-on AI, IoT, and Python programming education.
The UNIHIKER K10 AI coding board is intended for K12 STEM education and beginners, combining visual AI, voice control, and TinyML machine learning in a single compact device. This AI learning coding board has a 2.8-inch color display, dual wireless connectivity (Wi-Fi/Bluetooth), and a full sensor suite that includes a 2MP camera, microphone, speaker, RGB light, and environmental detectors for temperature, humidity, light, and movement. Users can easily connect and manage numerous digital/analog sensors, I2C/UART actuators, and other peripherals using the edge connections and Gravity IO interfaces, allowing them to create comprehensive IoT solutions without the need for extra hardware.
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
The UNIHIKER K10 is equipped with a built-in microphone and pre-installed voice models, allowing offline speech recognition. This allows users to construct speech-activated applications, such as bespoke voice commands and interactive AI systems, without the need for an internet connection.
Not Just Built-in Models
The UNIHIKER K10 supports TinyML, which enables users to train their own custom vision and sensor models. With the capacity to create personalized AI models for specific activities, users may delve further into AI applications and tailor the board's capabilities to individual projects. Whether working with image recognition, sensor data, or other AI-based activities, TinyML allows you to stretch the board's capabilities.
Combine BT & Wi-Fi with AI to Create More Possibilities
The UNIHIKER K10 provides wide connectivity choices by integrating Bluetooth 5.0 and Wi-Fi 2.4G with integrated AI technology, allowing you to create more engaging and data-driven applications. Whether developing IoT systems, remote control applications, or data transmission projects, the UNIHIKER K10 seamlessly integrates AI with wireless communication protocols.
Support the Internet of Things
The UNIHIKER K10 was created with IoT applications in mind. It allows for long-term data collecting and remote monitoring, making it perfect for projects that require ongoing data capture and analysis. With its extensive sensor suite (temperature, humidity, light, accelerometer) and connectivity choices (Wi-Fi, Bluetooth), the UNIHIKER K10 is simple to integrate into IoT ecosystems for real-time monitoring, remote device control, and data-driven applications.
Combine it with the Gravity: BME688 AI Environmental Sensor (VOC, Temperature, Humidity, and Pressure) to develop advanced air quality monitoring projects.
Built-in 2.8-inch Color Screen for Data Visualization
The UNIHIKER K10 has a 2.8-inch color screen that lets users view real-time data from sensors, AI models, and projects. This screen is great for showing sensor readings, AI outputs, and project results right on the board, giving users rapid feedback.
Rich Interfaces and High Expandability
The UNIHIKER K10 has a wide range of I/O ports, including USB Type-C, MicroSD, Gravity 3pin/4pin, and edge connectors, allowing you to connect more sensors, actuators, and accessories.
Supports Graphical and MicroPython Programming
The UNIHIKER K10 supports both graphical programming and MicroPython, catering to users of varying ability levels. It is also compatible with Mind+, a drag-and-drop programming tool that makes it easier to code with blocks. The graphical programming interface enables newcomers to easily create projects without the need to write code, whilst MicroPython provides a more advanced programming environment for experienced developers.
To assist users in getting started, the program also provides a number of sample projects, including:
- AI-powered face identification
- QR code scanning
- Sensor control
Applications
AI Learning
Machine Learning
Face detection
Speech recognition
Resources:
Package Content:
- UNIHIKER K10 x1
- Type-C USB cable x
