UNIHIKER K10 AI Educational Tool for Beginner (Computer Vision, Offline Voice Recognition, TinyML)

₪240

תיאור

UNIHIKER K10 is an AI learning device designed for education, serving as STEM AI kit and TinyML education kit for teens. It integrates a 2.8-inch color screen, Wi-Fi, Bluetooth, a camera, microphone, speaker, RGB light, temperature sensor, humidity sensor, light sensor, and accelerometer. Featuring edge connectors and Gravity IO interfaces, it enables the connection and control of various digital, analog, I2C, and UART sensors and actuators, making it perfect for IoT programming for beginners.

With its rich onboard resources, the UNIHIKER K10 eliminates the need for additional devices during learning and project development. It supports sensor control, IoT applications, and AI projects such as face detection and offline voice recognition, all in one compact device.

Pre-Installed with 4 Types of Vision AI Models

The UNIHIKER K10 comes pre-installed with four powerful vision AI models: Face Detection, Cat/Dog Detection, QR Code Recognition, and Motion Detection. The integrated 2MP camera, combined with these models, allows users to quickly start exploring AI applications.

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 device’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 device’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.

Pair it with the Gravity: BME688 AI Environmental Sensor (VOC, Temperature, Humidity, Pressure) to create advanced air quality monitoring projects.

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 device, 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

For more hands-on tutorials, visit the Examples link to explore a wide range of projects.

Download Mind+ to get started: Mind+ Download.

Applications

AI Learning
Machine Learning
Face detection
Speech recognition

Specification

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