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UNIHIKER is a single-board computer that brings you brand new experience. It features a 2.8-inch touchscreen, Wi-Fi and Bluetooth. It is equipped with light sensor, accelerometer, gyroscope and microphone. With built-in co-processor, it is able to communicate with various analog/digital/I2C/UART/SPI sensors and acuators.
UNIHIKER brings a whole new experience for developers with its pre-installed software, allowing for an incredibly fast and easy start. Featuring a built-in Jupyter Notebook (a browser-based programming environment), developers can program the single board computer using a smartphone or tablet.
Of course, just like other single board computers, UNIHIKER supports VS Code, VIM, and Thonny. The integrated PinPong control library allows developers to directly control UNIHIKER's built-in sensors and hundreds of connected sensors and actuators using Python.
The built-in SIoT service on UNIHIKER allows users to store data through the MQTT protocol and provides real-time web data access. The best part is that all data is stored within the device itself.
Compact, feature-rich, and user-friendly, UNIHIKER offers an innovative development experience for learning, coding, and creating. Unleash your imagination and embark on a new journey with UNIHIKER.
Built-in 2.8-inch Touch Screen
Enables you to visualize sensor data in the form of charts, graphs, and even dynamic animations.
Incredibly Fast and Easy Start
Using Python to Sense and Control
Built-in IoT service
Can be Programmed Wirelessly
UNIHIKER can be programmed from a computer, an iPad, evena phone.
It also supports Hotspot, you can play it fromanywhere.
Supports Popular Coding Software
Rich Interfaces and High Expandability
Applications
AIoT
Robot
STEM
Specification
Projects
1. Project: How to Make a Fruit Classification Project with UNIHIKER
Introduction: UNHIKER supports running machine learning, neural networks, and other AI-related Python libraries. With its ability to process image information, it is perfect for computer vision applications. In this tutorial, we will implement a fruit classification project using UNIHIKER and a USB camera.
2. Project: How to Build an Intelligent Car System with UNIHIKER
Introduction: Equipped with a variety of on-board hardware and expansion interfaces, UNIHIKER can control a wide range of sensors and actuators with ease. In this tutorial, we will demonstrate the implementation of an intelligent car system using UNIHIKER and Gravity modules.
Documents
Shipping List
