Jason Stone, a 24-year-old computer engineering student, was on the verge of a breakdown. His final year project at the prestigious Ivy University was the only obstacle between him and graduation. Jason’s assignment was to create an innovative IoT (Internet of Things) application that could improve people’s lives in his local community. The deadline was three weeks away, and he was still far from completing his project.

Jason had decided to create every aspect of his project from scratch. He believed that developing everything would make his project unique and showcase his skills. He spent countless hours coding, testing, and debugging but was no closer to a working prototype. The pressure was mounting, and sleepless nights became the norm.

One day, while Jason was browsing online forums seeking inspiration, he stumbled upon a thread discussing the Favoriot IoT platform. He was intrigued by the comments that praised the platform for its ease of use and rapid development capabilities. However, Jason was initially hesitant, as using a pre-built platform contradicted his initial plan to create everything himself.

With the deadline rapidly approaching, Jason knew he needed to decide. He hesitantly decided to try Favoriot, hoping it could salvage his project. As he explored the platform, he quickly realized that it was designed to help developers rapidly prototype and create IoT applications focusing on reliability and scalability.

As he dove deeper into Favoriot, Jason was amazed by the platform’s vast range of features. It provided pre-built templates for various IoT applications, a user-friendly dashboard for monitoring devices, and simple integration with multiple programming languages. He also discovered that Favoriot had a strong community of developers eager to share their knowledge and support one another.

With each passing day, Jason’s IoT application started to take shape. He used Favoriot’s APIs to collect sensor data, store it in the cloud, and create real-time visualizations. As his confidence grew, he started to engage with the Favoriot developer community, seeking advice and sharing his progress.

It wasn’t long before Jason’s project began to attract the attention of his peers and professors. They were impressed by his progress in such a short period and praised him for his innovative use of the Favoriot platform. Jason realized that his initial belief in developing everything himself was misguided. By using the tools and resources provided by Favoriot, he could focus on the creative aspects of his project, which ultimately made it more unique and impactful.

Jason completed his project with just a few days to spare before the deadline. The IoT application he created used Favoriot’s platform to monitor energy consumption and provide suggestions to homeowners on how they could reduce their environmental impact. This groundbreaking innovation caught the attention of local authorities, who decided to implement it as a pilot program in the community.

Jason was filled with a sense of accomplishment and pride as he stood before his peers and professors to present his project. He knew that his journey had been challenging, but it taught him the importance of leveraging existing platforms and technologies to focus on creating meaningful solutions. Jason’s epiphany of using Favoriot transformed his project and his perspective on innovation and collaboration.

[Note: This story is fictitious, created to illustrate the potential impact of using the Favoriot IoT platform for rapid development in a university project setting. We hope this story resonates with you and helps you reflect on leveraging existing platforms and technologies to create meaningful solutions.]

Favoriot, a leading IoT platform provider, offers a subscription service that enables individuals and businesses to build and manage IoT projects quickly. But how can universities benefit from using an IoT kit in teaching, learning, and developing IoT projects?

An IoT kit can benefit universities and their students, including hands-on learning and accessibility to affordable components. Additionally, it can prepare students for a career in IoT, a rapidly growing field with high demand for skilled professionals.

Incorporating IoT into the curriculum can help universities stay up-to-date with the latest trends and technologies. Furthermore, using Favoriot’s platform with an IoT kit can provide a comprehensive and effective solution for teaching, learning, and developing IoT projects.

Favoriot’s platform offers many features, including real-time data visualization, data analytics, and data management, making it easier for students and professors to manage and analyze their IoT projects. The platform is also user-friendly, with an intuitive interface allowing even beginners to learn and use it quickly.

In conclusion, using an IoT kit and Favoriot’s platform can provide a powerful tool for teaching, learning, and developing university IoT projects. It can make learning IoT more accessible and affordable, provide hands-on experience with the latest IoT technologies and tools, and help universities stay up-to-date with the latest trends and technologies in the field of technology. By incorporating this technology into their curriculum, universities can prepare students for a successful career in this exciting and rapidly growing field.

How to Subscribe FAVORIOT Bundle Plan

1. Go to – Favoriot Subscription Page
2. Click Sign Up Here.
3. Enter profile details
4. Choose the Bundle Plan as shown below and click Submit.
5. Enter your details (including delivery address) and make payment.

Hibiscus Sense – The IoT Kit

The Hibiscus Sense is an Internet of Things (IoT) development board powered by the mighty and popular dual-core ESP32 microcontroller, embedded with 3 sensors (APDS9960, BME280 & MPU6050) and 2 actuators (Buzzer & LED / RGB LED), makes it easy for you to kick start your awesome IoT project. Since the microcontroller is the mighty ESP32, this development board is compatible to be programmed using tools such as Arduino IDE (for Arduino programming language), Thonny IDE (Micropython programming language) or ESP-IDF (C, C++ programming language), simply use the latest USB Type-C to program the microcontroller, which has built-in USB-to-Serial converter (Silicon Labs CP2104) with automatic bootloader reset, so you don’t have to press the RESET button each time to upload the program into the microcontroller.

The ESP32 microcontroller comes with 4 MB of SPI Flash running at 240MHz, support both WiFi and BLE connectivity and also the ESP-NOW protocols, which develop by Espressif for low-power 2.4GHz wireless connectivity. The variety of connectivity gives you the freedom and flexibility to develop wireless sensor platform using Hibiscus Sense to be connected to other wireless connectivity such as the BLE on your smartphone, to visualise the data on the mobile app. It’s indeed perfect for your wireless or IoT projects.

Hibiscus sense comes with pre-assembled header makes it easy for you to plug the board on top of the breadboard or on the female header on your DIY PCB projects. There are plenty open GPIOs for you to work with digital inputs and outputs, analog inputs and outputs and multiple extra peripherals, such as UART the RX/TX, I2C and SPI.

Hibiscus Sense is the best board for those who work out for data science and data exploration, as it can easily generate real-time data from rich profusion of sensors on board. The sensors, enables you to sense the physical movement and environment around the board, which total of 13 parameters can be measured:

• APDS9960 – An environment sensor, which sense proximity, colour and gesture.
• MPU6050 – 6 Degree of Freedom (DoF) IMU (Inertial Measurement Unit), the accelerometer and gyroscope.
• BME280 – An environment sensor, which measure the altitude, barometric pressure, humidity and temperature.

FEATURES

• ESP32 running at 240MHz
• 4MB SPI flash and 520 KB SRAM
• USB Type-C with Silicon Labs CP2014 USB-to-Serial converter with automatic bootloader reset.
• Integrated WiFi, Bluetooth and ESP-NOW wireless protocols
• FCC / CE / IC & others certified module
• RESET and GPIO 0 pushbuttons
• 25 GPIOs, including ADC, DAC, UART, I2C and SPI
• Blue LED connected to ESP32 GPIO2
• RGB LED connected to ESP32 GPIO16
• Buzzer connected to ESP32 GPIO13
• APDS9960, BME280 and MPU6050 connected to ESP32 I2C
• Board measurement including header in mm – 58.7 x 27 x 13.3 (length x width x height)
• Package measurement in mm: 71.8 x 35.5 x 20.4 (length x width x height)

DOCUMENTATION

The comprehensive tutorial for Hibiscus Sense is provided on Github:

• ESP32 Arduino Tutorial on Github. (including Exercise with FAVORIOT)

SHIPPING LIST

• 1x Hibiscus Sense
• 1x USB Type C

Introduction

The Internet of Things (IoT) has transformed how industries collect and analyze data, including universities, in their research and development (R&D) efforts. IoT platforms can help universities collect and analyze vast data, optimize their research methodology, and collaborate with IoT companies to achieve their research goals. In this blog, we will explore how IoT platforms can help drive R&D in universities, how universities can collaborate with IoT companies to go to market, and how they can secure government research funding.

Benefits of IoT Platforms for Universities

IoT platforms can provide several benefits for universities working on R&D projects. Here are some of the ways that IoT platforms can help:

1. Data Collection and Analysis: IoT platforms can help universities collect and analyze data from various IoT devices in real time. This data can provide valuable insights into student behavior, campus operations, and academic research.
2. Machine Learning Capabilities: IoT platforms can help universities build predictive models based on the data collected from IoT devices. This can help researchers and administrators make data-driven decisions and create new machine-learning algorithms.
3. Customizable Dashboards: IoT platforms provide customizable dashboards that enable universities to visualize data in a way that is easy to understand and interpret. This can help researchers and administrators identify areas for improvement and make informed decisions.
4. Scalability: IoT platforms are highly scalable, allowing universities to add new IoT devices and expand their operations. This can help universities grow their research capabilities without worrying about infrastructure limitations.

Collaboration with IoT Companies to Go to Market

Collaboration with IoT companies can help universities go to market with their research and development projects. Here are some of the ways that universities can collaborate with IoT companies:

1. Access to IoT Devices and Expertise: Collaboration with IoT companies can provide universities with access to IoT devices and expertise. This can help universities develop new IoT projects and leverage technology trends.
2. Joint R&D Projects: Collaboration with IoT companies can result in collaborative R&D projects that can help universities optimize their research methodology and achieve their research goals.
3. Commercialization Opportunities: Collaboration with IoT companies can provide commercialization opportunities for universities. IoT companies may be interested in licensing the university’s intellectual property or investing in spin-off companies.

Securing Research Funding from Governments

Governments can provide research funding for universities engaged in IoT R&D projects. Here are some of the ways that universities can secure research funding:

1. Grant Programs: Governments offer grant programs that can provide funding for universities engaged in IoT R&D projects. Universities can apply for these grants to secure funding for their research.
2. Collaborative Research Projects: Governments may fund collaborative research projects between universities and IoT companies. Universities can partner with IoT companies to secure funding for their joint research projects.
3. Public-Private Partnerships: Governments may fund public-private partnerships to develop new IoT technologies. Universities can partner with IoT companies and government agencies to secure funding for these partnerships.

Case Study: University Collaborates with IoT Company in Predictive Maintenance using Data Collected from Machines using IoT Platform

In recent years, predictive maintenance has gained popularity as an efficient and cost-effective way to maintain machines and prevent unexpected downtime. Predictive maintenance uses data analysis to identify machine wear and tear, enabling maintenance personnel to schedule maintenance activities before a breakdown occurs. One University collaborated with an IoT company to develop a predictive maintenance solution using data collected from machines.

This University collaborated with an IoT company to develop a predictive maintenance solution using data collected from machines. The University used the IoT platform to collect data from various machines on campus, including HVAC systems and laboratory equipment.

The collaboration resulted in a successful joint R&D project that provided valuable insights into machine wear and tear. By analyzing the data collected from the machines, the University could identify patterns and predict when maintenance was required. This enabled maintenance personnel to schedule maintenance activities before a breakdown occurred, reducing downtime and saving costs.

The IoT platform provided the University with customizable dashboards that allowed them to visualize data in a way that was easy to understand and interpret. This helped researchers and maintenance personnel identify areas for improvement and make informed decisions.

The collaboration also resulted in a successful commercialization opportunity for the University. The IoT company wanted to license the University’s predictive maintenance solution and invest in spin-off companies.

The success of this collaboration has demonstrated the potential for universities to collaborate with IoT companies in developing predictive maintenance solutions using data collected from machines. Universities can stay ahead of the curve by leveraging IoT platforms and collaborating with IoT companies, significantly contributing to predictive maintenance research.

Conclusion

In conclusion, IoT platforms can potentially revolutionize research and development at universities. By collecting and analyzing vast amounts of data in real time, universities can gain valuable insights into various aspects of campus life, student behavior, and academic research. Additionally, IoT platforms provide customizable dashboards and machine learning capabilities, enabling researchers and administrators to make informed decisions and create new predictive models.

Collaboration with IoT companies can further enhance universities’ R&D efforts. Universities can access the latest technology trends, IoT devices, and expertise by partnering with IoT companies. Joint R&D projects with IoT companies can help universities optimize their research methodology, achieve their research goals, and even go to market with their innovations.

Finally, governments can provide funding opportunities for universities engaged in IoT R&D projects. Universities can access much-needed research funding by securing grant programs, collaborating on research projects with IoT companies, and participating in public-private partnerships.

Overall, combining IoT platforms, collaborations with IoT companies, and government funding opportunities provides a promising future for universities engaged in IoT research and development. By leveraging these tools, universities can stay ahead of the curve and significantly contribute to IoT research.

Further Readings

• Why Developing a Complex IoT Platform In-House Can Be More Trouble Than It’s Worth
• Choosing the Right IoT Platform: Pros and Cons of Vertical vs. Horizontal Solutions
• The Pros and Cons of Using Public and Enterprise IoT Platforms
• Simplifying IoT Development: Why You Need an IoT Platform
• Revolutionize Your IoT Skills: Register Now for FAVORIOT’s Discounted Training
• Unleashing the Potential of IoT: How to Kickstart Your Project