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zeenolife

the gemma 3n looks promising.

Btw, it doesn't really sound like the problem needs a video as an input to llm. Feels like sending an image is okay. So that makes it less demanding(?)

It's a bit tricky, the fp rate is not ideal, it does wrongly beep from time to time. I haven't really had a serious false negative, but did have some true positives :)

About the hard numbers, it's tough to test it quantitatively, because there's not a lot of data for babies in danger :D and I hope it stays that way

In general, I'm hoping that the open models will get better, there has been a lot of acceleration in video modality recently

Cheers!

Yes, I tried to stress it hard that it's in no way a replacement for an adult, just an additional eye as a safeguard

Hey! It's fully local, I was trying to build it privacy first. All the things related to kids are very sensitive, I didn't want to send anything to cloud.

But you can still run the inference remotely, changing that should be just a matter of changing the address.

Show HN: AI Baby Monitor – local Video-LLM that beeps when safety rules break

https://github.com/zeenolife/ai-baby-monitor

Hi HN!I built AI Baby Monitor – a tiny stack (Redis + vLLM + Streamlit) that watches a video stream and a YAML list of safety rules. If the model spots a rule being broken it plays beep sound, so you can quickly glance over and check on your baby.Why?When we bought a crib for our daughter, the first thing she tried was climbing over the rail :/ I got a bit paranoid about constantly watching...

( Read More... | 83 comments | 6 points | on HN )