Automating Food Service: How to Build a Robotic Coffee Machine
Mouser ElectronicsMouser Electronics
In 2024, Square surveyed 2,000 restaurant owners across the English-speaking world. More than half of the respondents—54 percent to be exact—said they planned to spend more on automation over the next year.Â
The restaurateurs who already used automation gave even more full-throated support to the technology. Every single respondent who used automation said these tools “improved their businesses.”  Â
Of course, Square didn’t specify the type of automation driving the industry’s enthusiasm. A lot of it was probably software-based process automation: Things like automating inventory and vendor orders, for instance.
That’s great technology, but customers don’t get to see it. It doesn’t help your frontline staff. Workers and the dining public alike are hungry for technology that is, for lack of a better word, cool. They’re ready for the robots—or at least humans and robots working together, in a system known as “cobotics.”Â
That’s a bit more daunting to the restaurant designer than process automation software. But it doesn’t have to be. Today’s electronics components come pre-loaded with smart gadget capabilities like facial recognition, voice control, and manual robotic training.
At Mouser, we used some of the best components on the market to build a robotic coffee machine that’s café-ready. You can, too. Take this project as proof of concept, and one example of what’s possible with today’s AI-enhanced boards. Here’s how we did it.
We built a fully functional voice-controlled coffee brewing system, complete with a robotic arm that serves the customer. We added an LED strip light as a visual indication of the order’s progress.
If you’d like to try a similar project, start by assembling the components. Here’s what you’ll need:
With all your components in hand, you’re ready to upgrade the coffee machine. You can tackle that task in a few ways, but here are the steps we followed:Â
You may have noticed that a lot of these steps involve programming the NXP EdgeReady Smart HMI. Luckily, it’s a pretty user-friendly board. This NXP product ships with a development kit—SLN-TLHMI-IoT—that leads to quick operation right out of the box.Â
If you plan to deploy your automated coffee machine at a restaurant, you can take advantage of another feature of the NXP EdgeReady Smart HMI: Face recognition. The board contains a camera and machine learning software that can “remember” the faces of each customer that places an order. You could use this feature to offer regular orders to returning customers, further improving the diner’s experience.Â
Ready to bring cobots to your coffee shop? It might be easier than you think. Feel free to build your own RoboCafé—or, better yet, use this project as inspiration for even more innovative food-and-beverage automation.
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