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Owl: Open-Source Always-On Wearable AI with Reference Device or Apple Watch

5 点作者 trzy大约 1 年前

2 条评论

trzy大约 1 年前
We built an always-on open source wearable AI. Listens to (and will soon see) everything you experience, all-day long. Supports a number of capture devices, including Apple Watch and a tiny wearable with days of battery life. Interactive assistance coming soon.<p>The convergence of powerful LLM and VLM models with low-power wearable devices opens up entirely new frontiers for human-computer interaction, including memory augmentation, pro-active life assistance, and distributed knowledge gathering. We believe in exploring this transparently and openly, and look forward to contributions :)<p>Today, we launch with Apple Watch, Xiao ESP32S3 Sense, and Sony Spresense support. Code and design files for the ulta-low-power reference wearable coming soon. We are looking for select people to give out units to and set up private servers for, to help us test and spread the word!<p>The server is written in Python and the display client is a native iOS Swift app (but a web client is included in the project as well for those outside the Apple ecosystem).
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rmac大约 1 年前
this is dope! I bought a pair of pinebuds to do something similar but got pulled into another project.<p>my use case was to tape one pine bud to my shoulder to wear all day, and it would bluetooth connect to my android keyboard app, with the simple goals<p>#1) always record my voice even if I have another headset connected to the phone. I.e., do not get interrupted by incoming calls, spotify, or other bluetooth jank<p>#2) only do STT on my voice, bonus if you can figure out context and only do STT when i&#x27;m talking <i>to</i> the phone (via eyeballs?)<p>#3) always put the generated STT into a form, or if no form has focus, spawn a new browser tab and put focus on the search-input form<p>that&#x27;s all. fin
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