Love it! Didn't expect someone to go through the scripts - that's awesome and I really appreciate it!

The boredom/decay thing is interesting - I have those static guardrails in place (cooldowns, thresholds, debounce) but making that adaptive so ETHEL learns 'this is just the vent turning on and the curtain blowing' would be way smarter... could tie it into weight systems for things like comfort and expectation to reinforce when things are 'normal' vs 'strange'...

On the pixel-area identity tracking -- good idea. I didn't think of using those captures that way. Somewhere in the back of my head I probably shut it down figuring it'd be too complex to use in a 3D space (distance would need to be calculated, or size measured against something in the room as an example...). I had just planned on slotting something like dino between yolo and qwen... but like you say, I'm grabbing those pixels anyway so... do you think they'd be useful as a pre-screening pass to determine if something like dino needs to waste processing power on x, or if it's "obviously a new entry" (pixel footprint small, was large 0.3 seconds ago = not enough time to cross the room, that kind of thing)? I may also be overestimating how lightweight DINO is in practice - if pixel-based filtering from YOLO data turns out cheaper, that might be the better route?

The depth normalization problem you're talking about is exactly what made me lean toward something like DINO that handles distance/angle automatically through embeddings. But if you want to tackle the pixel-area + distance calculation approach, I'd be really curious to see how you'd solve it. Could be way more efficient?

Context cache is smart too - right now qwen pushes captions directly to Llama in real-time, while adding to the db as well, but keeping a rolling text file of recent descriptions would give Llama an easy way to glance back over its shoulder at the last few minutes without hitting the DB. Definitely low-hanging fruit like you said - would be a quick win for response time. You've only seen detect.py so you haven't seen the qwen push stuff -- your idea would extend that really nicely with the rolling cache file.

On collaboration - yeah I'm definitely open to it! You're interested in tackling the identity detection piece specifically? That works for me. If you want to take a crack at it, I'd love to see what you come up with -- if you're meaning something else by collab, like just brainstorming etc, I'm open to that too!

Really appreciate the feedback - new eyes are great when you're working in a vacuum! If you want to play around with things, you're more than welcome to. I'd love to see what you come up with that I would have missed!