UNIHIKER Monthly Digest | Jan & Feb 2026

The first two months of 2026 marked strong progress for the UNIHIKER community, from major firmware updates to global exhibitions and recognized user projects. Here’s a closer look at what happened across the ecosystem.

🔧 Official Updates

We released a new firmware update for Xiaozhi on UNIHIKER K10, introducing several highly requested customization features:

• Custom Wake Words: Users can now define their own wake words for more personalized and flexible interaction.
• Emoji Support: Xiaozhi now displays richer emoji expressions during conversations, enhancing visual feedback and engagement.
• Custom Backgrounds: Personalize your device interface with custom background images.

👉 Try it now and personalize your Xiaozhi experience: https://community.dfrobot.com/makelog-317317.html

🌍 UNIHIKER at BETT 2026

UNIHIKER showcased its latest innovations at BETT 2026, one of the world’s leading edtech exhibitions. Educators, partners, and developers explored Edge AI classroom applications, AI learning pathways, and community-driven project ecosystems. The event strengthened UNIHIKER’s global presence and sparked valuable discussions around scalable AI education.

👉 Read more: https://www.unihiker.com/new-18957.html

💡 Community Highlights

1️⃣ Featured as a February 2026 Staff Pick on Instructables

Mukesh Sankhla created this excellent beginner-friendly tutorial that walks users through the complete Edge AI (TinyML) workflow directly on the UNIHIKER K10.

Starting with data collection from the board’s built-in sensors, camera, or microphones, it guides you to train models in Edge Impulse and deploy them for fast, real-time inference right on the device—no cloud needed.

Examples include gesture recognition using the IMU (shake, tilt, etc.), predicting comfort levels from temperature and humidity, classifying sounds like gunshots or chainsaw noise, and even detecting different coins in photos.

The project runs fully offline with inference times as low as 1–7 ms, displaying results on the screen, RGB LED, or emojis. It perfectly demonstrates the UNIHIKER K10’s all-in-one strength.

👉 Project link: https://www.instructables.com/Learn-Edge-AI-on-Unihiker-K10-Edge-Impulse-Beginne/

2️⃣ Featured in “Python in Your Pocket” on Hackster.io

YouTuber Tech Talkies turned the UNIHIKER M10 into a truly portable Python playground by adding a battery and a custom 3D-printed enclosure.

This pocket-sized device runs a full Debian-based Linux system with native Python support, letting you code, run scripts, collect sensor data, and connect external hardware on the go. The 2.8-inch touchscreen serves as both display and input for launching apps or even simple editing, while Wi-Fi, Bluetooth, USB, and GPIO handle data transfer and expansions. It’s great for field experiments, quick prototypes, or just coding anywhere without a laptop.

The project highlights how the UNIHIKER M10’s quad-core processor, 512MB RAM, built-in sensors, wireless connectivity, and compact design make it a complete, ready-to-carry Python development machine—not just another dev board.

👉 Project link: https://www.hackster.io/news/python-in-your-pocket-8bc42d07c3c2

3️⃣ Zenkai Engine Project on Hackster.io

Arnov Sharma built this fun, Dragon Ball-themed motivational gadget around the UNIHIKER K10.

Inspired by the “Zenkai Boost” concept (turning setbacks into power-ups), it activates when you press a custom star-shaped Dragon Ball button: the screen plays a short animated sequence of Vegeta standing in the rain (created by rapidly displaying JPG frames from the SD card), while the onboard speaker plays a 1-minute motivational speech WAV file. After playback, it returns to an idle orange screen and powers down after a few minutes to save battery.

Housed in a cool 3D-printed enclosure, the project shows off the K10’s ability to handle synchronized multimedia—fast image rendering, SD card access, audio playback through the built-in speaker, and button input—all in a standalone, compact package powered by the ESP32-S3.

👉 Project link: https://www.hackster.io/Arnov_Sharma_makes/zenkai-engine-373e17

4️⃣ Smart Timelapse Camera with UNIHIKER K10 on Hackster.io

Created by Raushan kr., this straightforward timelapse camera uses only the UNIHIKER K10—no extra parts required.

Through a simple menu navigated with the onboard buttons, you choose resolution, set the capture interval (seconds to hours), and start recording. The 2MP camera takes photos automatically at the chosen timing, saving them as JPEGs straight to the microSD card with sequential filenames for easy later conversion into video. A live preview mode lets you check framing, and everything is controlled right on the 2.8-inch display. It’s perfect for monitoring slow changes like plant growth, 3D prints, or outdoor scenes over long periods.

The build really spotlights the K10’s integrated design and delivers a complete, beginner-friendly, wire-free timelapse solution in one small board.

👉 Project link: https://www.hackster.io/rau7han/build-a-smart-timelapse-camera-with-unihiker-k10-8a4879

📈 Looking Ahead

January and February 2026 have brought real momentum to the UNIHIKER ecosystem: smoother firmware updates, wider classroom adoption (including strong presence at BETT 2026), a wave of creative community projects, and growing recognition in global maker media.

Thank you to every teacher, student, developer, and maker driving this energy. The K10 and M10 are clearly becoming favorite tools for AI experiments, Python coding, and fun embedded builds. We can’t wait to see what you create next—keep sharing!

❤️ Stay Connected

Share what you’re building with us:

📷 X, Instagram, Facebook → @UNIHIKER

💬 Feedback or ideas? Drop us a message anytime! → Discord