






Overview


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, even a phone.
It also supports Hotspot, you can play it from anywhere.

Supports Popular Coding Software

Rich Interfaces and High Expandability


APPLICATIONS

SPECIFICATION
DOCUMENTS
SHIPPING LIST
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.

This tutorial will help you quickly get started on controlling the UNIHIKER with Python code through a few simple steps.
If you encounter any issues during use, please feel free to contact us through either of the methods listed below:
Join our UNIHIKER channel by scanning the QR code below or clicking the link https://discord.gg/rvvfNCvBKv.

Connect the UNIHIKER to your computer via the Type-C to USB cable. Once connected and powered on, the UNIHIKER logo will appear on the screen. At this time, the computer will automatically recognize the UNIHIKER as an network device, and you can access it directly through the fixed IP address 10.1.2.3.
Note: Please ensure that you plug the USB cable directly into the computer's USB port without using an extension cord or dock. If you experience any issues with the connection, please refer to the FAQ for a solution.
Note: After reading through this text, please refer to the ADVANCED FEATURES section for additional connection methods and explanations.

As a single-board computer, the UNIHIKER can directly run Python code. It also has SSH and SMB file sharing services enabled by default, allowing you to use any text editor to write code and transfer it to the board for execution.
This document provides simple instructions for several commonly used software tools. Feel free to jump to the corresponding sections based on your preferences or follow the order as presented.
Jupyter Notebook:
The UNIHIKER comes with built-in Jupyter Notebook, which allows you to do Python programming on a web page using your computer or mobile device's browser. You can also use the web terminal to control the UNIHIKER.
VSCode:
VSCode is a powerful code editor. If you are familiar with it, you can use VSCode to program and control the UNIHIKER.
SSH Connection:
The UNIHIKER has SSH service enabled by default. If you are accustomed to using SSH terminals to control Linux devices, it will be convenient to do so on the UNIHIKER as well.
MindPlus:
MindPlus is a software that supports graphical programming and code programming. It provides easy connection and file management, making it very user-friendly for beginners.
The UNIHIKER features built-in Jupyter service but it is disabled by default. Enable it and then you can directly program UNIHIKER on a web page.
1- Open a browser (not IE), and enter the website address 10.1.2.3 to access the local web page menu on the UNIHIKER.
Note: If there is a connection error, check if the USB cable is connected correctly or refer to FAQ for a solution. If the issue still exists, join our UNIHIKER official channel for assistance.]
Note: You can also directly enter the Jupyter page by inputting 10.1.2.3:8888 (require enabling Jupyter service first).
2-Select the Service Toggle, and check the status of the Jupyter. If it is disabled, click Start and wait until the status changes to be Enabled, then click Open Page to access the Jupyter programming page.


# -*- coding: UTF-8 -*-
from unihiker import GUI
import time
gui = GUI()
#unihiker library text display
gui.draw_text(text="Hello,UNIHIKER!",origin="center",x=120,y=160,color="#0066CC")
while True:
#Keep program running
time.sleep(1)


The UNIHIKER has SSH service enabled by default, so you can use SSH tools like PuTTY or MobaXterm to connect to it from another computer.
To connect to the UNIHIKER using SSH:
rootdfrobotIn VSCode, there is a Remote plug-in that allows you to connect to a remote host via SSH, enabling you to directly program the UNIHIKER.
Note: If the connection fails, please retry multiple times.
Please let me know if there is anything else I can assist you with.


Mind+ supports programming by graphical blocks and Coding. You can choose as per your needs.

Switch to Blocks.
Load the extension library of UNIHIKER. Click Extensions to load UNIHIKER, then return to the programming page, and you can see the UNIHIKER blocks and the Connect Remote Terminal item.

Drag blocks to program. The code to be written is shown below:

Connect to the UNIHIKER. After a successful connection, Mind+ will automatically detect the Python libraries inside the UNIHIKER(such as pinpong, SIoT, etc. If these library versions are outdated, a prompt to upgrade will appear).
If you click the run button without connecting to UNIHIKER, the code will be executed on your computer's Python environment and the result will be displayed on your computer.
If you want to see the result displayed on UNIHIKER, you need to open the Connect Remote Terminal menu in Mind+ and select 10.1.2.3 to connect to UNIHIKER. Then click the run button again, and the result will be displayed on the UNIHIKER screen.
Note: If there is a connection error, check if the USB cable is connected correctly or refer to FAQ for a solution. If the error still exists, join our UNIHIKER channel for assistance.

Run the code. After connecting to UNIHIKER successfully, click Run to upload the code to the board for execution. You can see the running effect on the UNIHIKER screen.

| Q | How to run graphical programs on UNIHIKER? |
|---|---|
| A | Click the button Run, and Mind+ will upload the generated Python code when coding by blocks to the mindplus folder in UNIHIKER. So you can find the corresponding project's .cache_file.py in the folder through the Home menu and run it. ![]() |
| Q | How to upload resource files (such as images) to UNIHIKER for use in the program? |
|---|---|
| A | Open the File System in Mind+, drag the file into the File in the project, and click Run. Then Mind+ will upload all the files in the project to the mindplus folder on UNIHIKER for use. |
Switch to the Code (default page).

# -*- coding: UTF-8 -*-
from unihiker import GUI
import time
gui = GUI()
#unihiker library text display
gui.draw_text(text="Hello,UNIHIKER!",origin="center",x=120,y=160,color="#0066CC")
while True:
#Keep the program running
time.sleep(1)
Connect to the UNIHIKER. If you click Run directly, the code will run on your PC's Python environment. If you want to run it on the UNIHIKER, you need to connect to it. Click the icon before the Terminal to activate the Connect to Remote Terminal menu, and then click 10.1.2.3 to connect to the UNIHIKER.
Note: If there is a connection error, check if the USB cable is connected correctly or refer to FAQ for solutions. If the issue still exists, join our UNIHIKER official channel for assistance.

Once UNIHIKER is connected, the File in UNIHIKER will be displayed in the File Catalog, the terminal will switch to the remote terminal of UNIHIKER, and the library management will switch to the library management of UNIHIKER.

Note: The code actually exists on the PC here. When you save the project, all the py codes or image resources contained in the project file will be packaged into the .mp file for easy transmission. In the UNIHIKER's Home menu, you can find the .mp package in the mindplus folder in Run Programs. Click it and you can run the code directly without connecting to Mind+.







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