We are thrilled to announce the newest addition to Arduino’s System Integrators Partnership Program: Interactive Engineering Corp. (IEC), based in Ohio, is a best-in-class solution provider in engineering and manufacturing, bringing to the table a unique blend of expertise and aligning seamlessly with Arduino’s core values of industrial innovation. Indeed, their philosophy combines technical excellence in design with flexible manufacturing, to deliver solutions quickly and efficiently both in the United States and on a global scale.
One of IEC’s standout features – as a full-service electronics manufacturer with over 20 years of experience – is their comprehensive range of services. From PCBAs to wire harnesses, sheet metal, assemblies, and LCD displays, they offer everything needed to bring a product to market. Their ability to manufacture in large quantities ensures scalability and reliability for clients across various industries.
As a Gold-level partner, IEC is poised to open up new avenues for accelerated product development in key verticals, leveraging the Arduino Pro range and accessing custom support services driven by our dedication to unlocking new possibilities.
“Joining the System Integrators Partnership Program is an important milestone for us. Until now, most of our partnerships have been in the embedded and board level space, but with Arduino at our side we are ready to grow more into the machine automation field,” commented IEC’s Director of Engineering, Jeremy Nocchi.
Furthermore, the collaborative partnership is based on a shared vision that recognizes the importance of ease-of-use for customers and accessibility, with a strong focus on retrofitting legacy solutions as a way to sustainably embrace innovation. With that in mind, Strategic Partnerships Advisor to Arduino Paul Kaeley spoke for the company: “We extend a warm welcome to IEC and look forward to a fruitful partnership that drives innovation, fosters collaboration, and unlocks endless possibilities for our customers and the industry as a whole”.
The System Integrators Partnership Program by Arduino Pro is an exclusive initiative designed for professionals seeking to implement Arduino technologies in their projects. This program opens up a world of opportunities based on the robust Arduino ecosystem, allowing partners to unlock their full potential in collaboration with us.
In areas that experience plenty of cold weather, icicles and ice dams can present a very real danger to the people and property nearby. In response, Eivind Holt has developed a computer vision-based system that relies on an Arduino Portenta H7, a Portenta Vision Shield, and a slew of AI tools/models to recognize this ice buildup. Best of all, the board’s low power consumption and LoRaWAN connectivity means it can be deployed almost anywhere outdoors.
Before a model can be created, it needs copious amounts of training, data which normally comes from manually-annotated, real images. But recent advancements have allowed for synthetic datasets to be used instead, such as with NVIDIA’s Omniverse Replicator. It was in here that Holt programmatically added a virtual house and randomized icicle models, as well as configured Omniverse to move the camera around a raytraced scene in order to snap virtual pictures and annotate them with the correct label.
Once the realistic, synthetic data had been created, Holt exported everything to Edge Impulse and trained an object detection model for the Portenta H7, although it was also tested in NVIDIA’s Isaac Sim environment via the Edge Impulse extension prior to deployment. Alert generation was achieved by connecting the LoRaWAN radio to The Things Stack and sending a small, binary payload every ten seconds if any icicles were detected.
In the rapidly evolving landscape of industrial technology, three interesting trends are intertwining to streamline processes, improve efficiency, and reduce downtime. They are retrofitting, remote control/monitoring, and power metering – and together, they make for a great strategy to upgrade and improve existing machinery, reaping all the benefits of connected things and data analysis without the huge investment of completely new equipment.
Retrofitting industrial machinery Retrofitting industrial machinery involves updating existing equipment with modern technology to enhance functionality and performance. It allows businesses to extend the lifespan of their machinery while adapting to evolving industry standards and requirements.
Remote monitoring and control Remote monitoring and control enable businesses to oversee their operations from anywhere in the world. This capability not only improves operational efficiency but also facilitates proactive decision-making and troubleshooting, ultimately reducing costs and downtime.
Power metering Power metering entails tracking and analyzing energy consumption. By monitoring power usage, businesses can identify areas for optimization, reduce waste, and lower energy costs, contributing to sustainability efforts and improving their own bottom line at the same time.
Our latest demo showcases the seamless integration of these three crucial aspects into a single solution, using Arduino technology.
The demo in detail
We focused on retrofitting an injection molding machine – a common piece of industrial equipment – with advanced automation capabilities. By replacing the original controller with the Arduino Opta WiFi micro PLC, we transformed the machine into a connected device.
Now, integrating with the Arduino Cloud, users can monitor and control the injection molding machine remotely via intuitive dashboards. This connectivity allows for real-time oversight of production cycles, performance metrics, and equipment status from anywhere with an Internet connection.
Additionally, the Arduino Opta WiFi is equipped with RS485 communication capabilities, enabling seamless integration with an external power meter – in our case, a Finder model. This provides valuable insights into energy consumption, production output, material usage, and equipment health.
The collected data is then analyzed through dedicated dashboards, offering information about operational efficiency and potential issues. By leveraging this data, businesses can proactively schedule maintenance and repairs, minimizing downtime and optimizing production processes.
Retrofitting for a connected future
Many businesses today can retrofit existing machinery to embrace the benefits of connectivity and automation. Our demo provides a practical example of how common industrial equipment can become smarter, more efficient, and easier to manage. From remote monitoring and control to power metering and predictive maintenance, retrofitting offers a sustainable way to modernize industrial infrastructure.
Unlocking potential across industries
Moreover, the versatility of Arduino’s open-source ecosystem ensures that this solution can be adapted and applied to a wide range of existing machines and equipment, enhancing their operation effectively – whether in manufacturing, logistics, or any other industry relying on machinery.
To learn more about how you can leverage Arduino technology to upgrade your infrastructure and achieve tangible results, contact us today. Let us help you unlock the full potential of your industrial assets with practical, cost-effective solutions.
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The world just recognized Earth Day and it was a good reminder that we all have a responsibility to protect the planet. Unfortunately, many of our devices suck up energy in direct opposition to that goal. But the market has proven that we aren’t willing to sacrifice convenience. Luckily, that isn’t always necessary. To demonstrate that, overVolt built this solar-powered weather station that features an E Ink display.
The first — and usually easiest — step in the right direction is reducing energy consumption. And it is often possible to make efficient devices that don’t require any sacrifices at all. In this case, overVolt achieved that with the use of an E Ink screen and a power-sipping Arduino Nano ESP32 board.
E Ink technology is perfect for this application, because a weather station doesn’t need to update often. The display only consumes power during a refresh and the rest of the time it continues showing very readable content without any power.
The next step was to eliminate any energy from fossil fuels. Because this weather station consumes so little power, it can run entirely on the power coming from a small solar panel. Sunlight isn’t always available, so overVolt added a lithium battery to store power through dark periods.
The Arduino monitors temperature and humidity with a DHT11 sensor, as well as air quality with an MQ-135 sensor. And because this is a Nano ESP32, it can also connect to the internet to pull weather forecasts.
While lithium batteries aren’t great from an environmental perspective, overVolt’s weather station proves that we can take positive steps without sacrificing convenience.
GitHub user touchgadget converts a Logitech Extreme 3D Pro flight joystick into a Nintendo Switch compatible gamepad. This allows a player to play two thumb stick games using one hand.
No soldering required. This does not work for any other flight stick.
An Adafruit Feather RP2040 with USB Type A Host and joystick are powered by the Nintendo Switch so a battery is not needed. Just plug the joystick into the Feather then plug the Feather into the Switch. The software is coded in Arduino.
See the details and code on GitHub. Under an MIT license.
Hey there, DIY IoT enthusiasts! Ever build a cool gadget with your Raspberry Pi, only to get stuck figuring out how to show off its data? Don’t worry, you’re not alone. Lots of makers like you face the same challenge: turning that awesome sensor data into something easy to see and interact with on your phone or laptop.
The good news is, there are simple and reliable ways to bridge that gap and shed light on your data without losing time.
Visualize your Raspberry Pi data: Get started
Raspberry Pi and other Linux-based platforms have become popular in the IoT space due to their versatility and ease of use. However, a common issue is finding an effective way to visualize their data and connect them to visualization platforms.
At the end of the day, what do you want? You have your code which is producing data and you want to have a dashboard to visualize it both in real time and its historical evolution. Furthermore, you would like to interact directly with your application from that dashboard too!
Let’s explore what kind of solutions you have at your disposal.
Choosing a visualization platform for your Raspberry Pi
You can visualize your device’s data by installing a visualization platform on your device or sending data to an external platform, self- or cloud-hosted. Each has its pros and cons, and the choice depends on your skills, time, and the complexity of the solution.
Installing a visualization platform on your device also implies setting up local data storage, like a database. This process along with the platform installation and maintenance can be complex and time-consuming, especially for beginners.
Transferring data to an external platform is typically easier as they usually offer a simple API to interact with them, but the type of solution can add complexity:
If you opt to establish your own platform and infrastructure, it may seem like you have more control over the solution. However, it can quickly become an overwhelming task for beginners, and ongoing maintenance can be even more challenging.
Choosing a cloud-hosted solution often seems like the most balanced option. However, it can also be complicated due to the wide range of alternatives, varying levels of complexity, and pricing models that can be difficult to understand.
Some of these alternatives were also described in a previous article, where we explored several ways to visualize data coming from Arduino or ESP32 based boards.
Choosing the right programming language for your Raspberry Pi
But now, what? You have to program your application to collect data. Selecting the right programming language can depend on many different factors. Knowledge of the environment or simply your preference can be a deciding factor. But sometimes the decision is not so simple. Here we have some insights about some popular IoT programming languages
Python: Python is a top choice for IoT development due to its simplicity, rich library ecosystem, and active community. Its dominance in AI allows seamless integration of machine learning models.
JavaScript: JavaScript, with Node.js as a server-side runtime environment, is also a go-to language for IoT device development. It’s versatile and its event-driven nature aligns seamlessly with IoT requirements. It’s particularly popular for applications that interact with web pages, thanks to the potential for significant code reuse.
Node-RED: Lastly, low-code programming environments like Node-RED have become very popular for IoT. It allows you to create your applications with an intuitive drag-and-drop interface, connecting hardware and platforms, and controlling anything from tiny sensors to the cloud.
Note: While other languages like C/C++ and Rust are also relevant, this blog post focuses on Python, JavaScript, and Node-RED due to their popularity and relative ease of use.
Creating IoT monitoring dashboards with Arduino Cloud
The Arduino Cloud is a cloud-hosted platform that provides a user-friendly environment to create customizable insightful dashboards used to monitor and control your IoT devices.
The main benefit is its ease of use. You get rid of installation or maintenance headaches, while you connect your devices in minutes and visualize the data in your dashboards either from your browser or your mobile phone. You can create and customize your dashboards with an intuitive interface using drag-and-drop widgets. These dashboards provide real time interaction with your IoT devices and insightful historical information that can be additionally downloaded for offline analysis.
But there are many other cool features:
Real time alerts: You can receive notifications based on criteria configured in the Cloud. Learn more in this post.
Mobile phone app: You can access your dashboards using the IoT Remote app.
Work collaboratively: You can share your code and dashboards with others.
Out-of-the box integrations: You have seamless integration with popular platforms like IFTTT, Zapier, Google Services, Alexa or Google Home.
Want to learn more? Check out this recent article announcing four new IoT monitoring dashboard features that may seem small, but pack a big punch for your connected projects. They include the ability to duplicate IoT Dashboards, IoT Value Widget customization, new data aggregation method and more.
How to connect your Raspberry Pi to Arduino Cloud
Connecting your Raspberry Pi to Arduino Cloud couldn’t be easier. You only have to follow these steps:
1. Set up an Arduino Cloud account. 2. Add your device to the Arduino Cloud as a Manual device. 3. Create your Thing and add your variables. 4. Create the code for your Raspberry Pi using your preferred development language and environment. 5. Create the dashboards for data visualization.
So, do you want to remotely monitor your Raspberry Pi creations and control them from anywhere? Stay tuned! Upcoming posts will showcase real-world examples of connecting your Raspberry Pi to the Arduino Cloud, enabling you to visualize sensor data and interact with your projects remotely. In the meantime, here’s a project from ProjectHub showing an integration with Raspberry PI using Python to show VCO2 data from a SGP30 sensor.
Start with Arduino Cloud for Free
Arduino Cloud is free to use. So, if you’re looking to streamline data visualization of your Raspberry Pi applications, consider giving the Arduino Cloud a try and leverage its full potential for your projects. You can explore the premium features for enhanced functionality.
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Planet Arduino is, or at the moment is wishing to become, an aggregation of public weblogs from around the world written by people who develop, play, think on Arduino platform and his son. The opinions expressed in those weblogs and hence this aggregation are those of the original authors. Entries on this page are owned by their authors. We do not edit, endorse or vouch for the contents of individual posts. For more information about Arduino please visit www.arduino.cc
