Show HN: Real-world speedrun timer that auto-ticks via vision on smart glasses(github.com)
github.com
Show HN: Real-world speedrun timer that auto-ticks via vision on smart glasses
https://github.com/RealComputer/GlassKit/tree/main/examples/rokid-rfdetr
3 comments
I can imagine corps using this HUD with a vision model for worker supervision. (Manna, anyone?)
Cheeseburger Assembly
x Toast bun
x Place bun
x Add ketchup
x Add onions
Add pickle
Place cheese slice
Add patty
Place bottom bun
Wrap and flip burger
TIME REMAINING: 00:09.01
UNITS THIS HOUR: 60
ACCURACY: 99.8%
KEEP UP THE GOOD WORK!Totally. I think this kind of thing sits right on that line: it can help someone (hands-free guidance, training, accessibility, staying in flow), and it can also slide into a pretty dystopian "score the worker" surveillance HUD. My intent here is the former: personal "real-world speedrun" / practice tooling, not a manager dashboard or productivity policing.
Cooking feels like a perfect fit for smart glasses (hands busy, lots of short steps), but I have not seen many apps that work reliably in a real kitchen. It feels like the hardware is finally getting to the point where this should become practical soon.
Demo: https://www.youtube.com/watch?v=NuOVlyr-e1w
Repo: https://github.com/RealComputer/GlassKit
I initially tried a multimodal LLM for scene understanding, but the latency and consistency were not good enough for this use case, so I switched to a small object detection model (fine-tuned RF-DETR). It just runs an inference loop on the camera feed. This also makes on-device/offline use feasible (today it still runs via a local server).