5 Bluetooth ESP32 projects for this weekend (May 15


Most ESP32 microcontrollers are blessed with both Bluetooth and Wi-Fi, which means they can be used in a vast number of wireless projects. These could be some of the most useful DIY projects that you ever build.

Here are five to get you started.

Home Assistant Bluetooth proxies

An ESP32 microcontroller on a desk. Credit: Adam Davidson/How-To Geek

If you use the Home Assistant smart home platform, you might be interested in adding Bluetooth to your setup. One simple and effective method is to use an ESP32 device that includes both Wi-Fi and Bluetooth Low Energy (which is most of them) in order to extend the range of your server’s Bluetooth capabilities.

These proxies use Wi-Fi as a backbone so that Home Assistant can talk to Bluetooth devices. They’re cheap, at around $5 per board, and don’t require any additional components (or soldering) beyond a standard USB power adapter. The easiest way to do this is to use the Open Home Foundation’s ESPHome firmware, which is natively supported in Home Assistant.

This is great for adding Bluetooth devices anywhere in your home where you already have Wi-Fi. Some devices, like older SwitchBot accessories, rely on Bluetooth for local control. Using a cheap proxy to bridge the gap between your Home Assistant server downstairs and the curtain rail or blind controllers upstairs is a neat solution.

ESP32-based presence detection

An Android Bluetooth tracker. Credit: 

Ismar Hrnjicevic / How-To Geek

Bluetooth proxies also enable Bluetooth presence detection. You can use open source projects like ESPresense or Bermuda to track Bluetooth devices (like smartphones, smartwatches, and Bluetooth beacons) that are always with you. This relies on Bluetooth signatures and doesn’t require connecting to a proxy directly.

For example, if you have a Bluetooth tracker on your dog’s collar, you can tell where in the house your dog is hiding. If you want to automatically turn off the lights when everyone leaves the house, you can link this automation to smartphone presence (assuming everyone takes their phones with them).

Choosing between ESPresense and Bermuda is the source of much debate online. Thankfully, it takes minutes to switch between them if you need to do so.

A Bluetooth system monitor for your PC

System monitors are handy tools, but you probably don’t have one on your screen at all times. Even if you do, there are better ways to use that screen real estate. Having a bunch of flickering stats at the top of the screen can be really distracting.

Knowing what your CPU and GPU temperatures are, how fast your fans are spinning, and how much free RAM or disk space you have can be really useful at a glance. So why not build a system monitor that displays this information on a separate screen, which you can put on your desk or mount on your keyboard?

Thankfully, you can build one using an ESP32 development board and a 3.5-inch TFT display, complete with a 3D printed case.

ESP32 Bluetooth receiver or speaker

ESP32 Bluetooth audio receiver by Raphael H on Hackaday.io. Credit: Raphael H / Hackaday.io

The actively maintained ESP32-A2DP library is responsible for all manner of Bluetooth audio projects that use the ESP32. It uses the Arduino Software IDE and A2DP Bluetooth protocol to pass along a PCM data stream from a wireless sound source like a smartphone.

If you’re looking for inspiration, check out the library’s show and tell discussion, in which keen makers have shared their creations. For more detailed instructions, you can follow guides like this one on Hackaday.io, instructions for building a complete wireless speaker, or use a custom PCB solution like bop.

3D-printed Stream Deck alternative macropad

3D printed Bluetooth macropad stream deck by MakerWorld user 3Z3D. Credit: 3Z3D / MakerWorld

Stream Decks are neat devices that allow you to trigger events on your computer with the push of a tactile button. They’re also pretty expensive, since they use small OLED displays that change depending on what you want each button to do. As nice as that is, it’s not essential functionality if all you want is a macropad to fire off specific commands.

Thankfully, you can build your own wireless macropad using an ESP32-C3, some keyboard switches, keycaps, and a jumper wire. MakerWorld user 3Z3D has shared their ESP32 Stream Cheap Deck project, complete with full instructions and 3D printing files. Many who have taken on the project have gone a step further and 3D printed the keycaps too (though you’ll lose that fully transparent look if you do this).

Alternatively, there’s a less polished yet endearing Instructables guide for building a macropad that uses a breadboard and a single OLED display.


Looking for more wireless things to build? Check out last week’s batch of Wi-Fi ESP32 projects.



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Recent Reviews



Researchers at the University of Washington have developed a new prototype system that could change how people interact with artificial intelligence in daily life. Called VueBuds, the system integrates tiny cameras into standard wireless earbuds, allowing users to ask an AI model questions about the world around them in near real time.

The concept is simple but powerful. A user can look at an object, such as a food package in a foreign language, and ask the AI to translate it. Within about a second, the system responds with an answer through the earbuds, creating a seamless, hands-free interaction.

A Different Approach To AI Wearables

Unlike smart glasses, which have struggled with adoption due to privacy concerns and design limitations, VueBuds takes a more subtle approach. The system uses low-resolution, black-and-white cameras embedded in earbuds to capture still images rather than continuous video.

These images are transmitted via Bluetooth to a connected device, where a small AI model processes them locally. This on-device processing ensures that data does not need to be sent to the cloud, addressing one of the biggest concerns around wearable cameras.

To further enhance privacy, the earbuds include a visible indicator light when recording and allow users to delete captured images instantly.

Engineering Around Power And Performance Limits

One of the biggest challenges the research team faced was power consumption. Cameras require significantly more energy than microphones, making it impractical to use high-resolution sensors like those found in smart glasses.

To solve this, the team used a camera roughly the size of a grain of rice, capturing low-resolution grayscale images. This approach reduces battery usage and allows efficient Bluetooth transmission without compromising responsiveness.

Placement was another key consideration. By angling the cameras slightly outward, the system achieves a field of view between 98 and 108 degrees. While there is a small blind spot for objects held extremely close, researchers found this does not affect typical usage.

The system also combines images from both earbuds into a single frame, improving processing speed. This allows VueBuds to respond in about one second, compared to two seconds when handling images separately.

Performance Compared To Smart Glasses

In testing, 74 participants compared VueBuds with smart glasses such as Meta’s Ray-Ban models. Despite using lower-resolution images and local processing, VueBuds performed similarly overall.

The report showed participants preferred VueBuds for translation tasks, while smart glasses performed better at counting objects. In separate trials, VueBuds achieved accuracy rates of around 83–84% for translation and object identification, and up to 93% for identifying book titles and authors.

Why This Matters And What Comes Next

The research highlights a potential shift in how AI-powered wearables are designed. By embedding visual intelligence into a device people already use, the system avoids many of the barriers faced by smart glasses.

However, limitations remain. The current system cannot interpret color, and its capabilities are still in early stages. The team plans to explore adding color sensors and developing specialised AI models for tasks like translation and accessibility support.

The researchers will present their findings at the Association for Computing Machinery Conference on Human Factors in Computing Systems in Barcelona, offering a glimpse into a future where everyday devices quietly become intelligent assistants.



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