Are you an enthusiastic novice with a keen interest in the fascinating realm of Internet of Things (IoT) technology? If so, you have come to the right place! In this article, we have meticulously handpicked a selection of IoT projects for your exploration. These projects encompass a wide range of applications, spanning across domains such as smart homes, intelligent campuses, advanced transportation, and innovative agriculture. Within these projects, you will embark on a journey of discovery, learning how to utilize the Unihiker board to construct intelligent systems through the utilization of both "Graphical Programming" and "Python" programming approaches. By engaging in these projects, you will acquire invaluable skills and gain a comprehensive understanding of the practical applications of Internet of Things (IoT) technology. Now, let us embark on this captivating IoT expedition together, enhancing our abilities and delving deeper into the practical implementation of IoT technology.
What makes UNIHIKER the ideal choice for building Internet of Things (IoT) projects?
1. Comprehensive functionality: The Unihiker single-board computer integrates various features, including a touchscreen display, Wi-Fi, Bluetooth, and a range of sensors. This allows it to directly interact with the physical world, collect, transmit, and process sensor data, and provides extensive possibilities for IoT project applications.
2. Python programming environment: Unihiker comes with a built-in Linux operating system and Python environment, making IoT project development easier and more convenient, especially for beginners and the education sector.
3. Quick start: Unihiker comes pre-installed with software, providing developers with a fast and straightforward start. The built-in Jupyter Notebook (a browser-based programming environment) enables programming using smartphones or tablets. Additionally, Unihiker supports popular development tools such as VS Code, VIM, and Thonny.
4. Powerful control libraries: Unihiker integrates the Pinpong control library, allowing developers to directly control the built-in sensors and hundreds of connected sensors and actuators using Python. This provides developers with direct and convenient control capabilities.
5. Expansion interfaces: Unihiker provides a range of expansion interfaces, including analog, digital, I2C, UART, and SPI interfaces. This allows users to easily connect various sensors, actuators, and other external devices, enabling more complex IoT applications.
6. IoT service support: Unihiker has a built-in IoT server that can store data using the MQTT protocol and provides real-time web data access. This simplifies IoT data management and remote access, making project development more convenient.
Project 1: IoT Data Assistant
During physical fitness assessments, teachers often rely on traditional recording methods, manually filling out paper forms to record students' fitness data. This approach is inefficient and difficult to manage. In this project, we leverage the sound sensor of Unihiker to detect students' exhalation duration and transmit the data to the SIoT Internet of Things platform via Wi-Fi. This way, teachers can simply log in to the platform and easily access the lung capacity data of each student.
What do you need？
Hardware components：
Software components: Mind+
Programming Approach: Graphical Programming
Interested? You can find the complete project here：IoT Data Assistant
Project 2：Interactive IoT Classroom Quiz System
As an exceptional tool for assessing students' knowledge mastery, in-class quizzes are widely used. In this project, we primarily discuss how to leverage Unihiker and the SIoT Internet of Things platform to build a classroom interactive quiz system.
The system consists of two components: the teacher end and the student end. Teachers distribute questions to students through the teacher end, and students respond and send their selected answers to the teacher end through the student end. In the end, teachers can view the quiz results of all students on the teacher end.
What do you need？
Hardware components：
Software components: Mind+
Programming Approach: Graphical Programming
Interested? You can find the complete project here：Interactive IoT Classroom Quiz System
Project 3：Smart Agriculture IoT System
This project serves as a comprehensive design guide for an Internet of Things (IoT) system in smart agriculture, providing instructions on how to leverage IoT technology for remote monitoring and control of agricultural environments. The learning curriculum encompasses various topics, including IoT, MQTT, SIoT, and more. The project aims to utilize a soil moisture sensor to detect the moisture level in the soil and display it on a screen. Additionally, by activating the IoT server and synchronizing the data to the SIoT IoT platform, it becomes convenient for us to access and monitor the information. In cases where the soil moisture level is inadequate, you can utilize the web interface of the IoT platform to input specific characters ("on" and "off") for controlling the water pump irrigation.
What do you need？
Hardware components：
Software components: Mind+
Programming Approach: Python
Interested? You can find the complete project here：Smart Agriculture IoT System
Project 4：Multi-Node Intelligent Agricultural System
This project primarily focuses on teaching you how to build an Internet of Things (IoT) system using multiple Unihiker boards to monitor data from different locations and aggregate it onto a remotely accessible platform. The learning curriculum covers topics such as power supply methods, remote connection methods to the Unihiker boards, and using the smtplib library to send emails.
To begin, prepare three Unihiker boards and connect them to the same local area network (LAN) as your computer. On one of the Unihiker boards, activate the SIoT application as the server. Use the other two Unihiker boards to respectively detect soil moisture and light intensity, displaying the data on their screens while also sending it to the SIoT IoT platform.
Next, configure the server Unihiker board to subscribe to messages from the IoT platform and display both soil moisture and light intensity on its screen. Additionally, when the environmental data is unfavorable, the system will automatically send alert emails to our mailbox, reminding us to promptly perform watering and supplemental lighting operations.
What do you need？
Hardware components：
Software components: Mind+
Programming Approach: Python
Interested? You can find the complete project here：Multi-Node Intelligent Agricultural System
Note: We will continuously update this article to bring you more exciting IoT projects. Please bookmark this page and revisit it regularly to stay updated with the latest IoT project recommendations.
