I've been running Frigate for many years, using a PN50 NUC and a Coral USB dongle, the Coral is a must, at least in my case. I had a full blown Ubiquiti/Unifi setup with cameras + their software. Way to many false alarms compared to Frigate. Now I run 10+ cameras with 24/7 recording and alarms with images pushed to Telegram. The identification is instant as well as the telegram message.
Running a mix of Ubiquti/TP-Link VIGI+TAPO/Reolink. I'm running everything in containers and everything works perfect!
Polling HN: is there any upgrade to Coral? It's 5 years old at this point, and with the explosion of AI apps & HW acceleration, I'm surprised there doesn't seem to be anything to update Coral's niche, of an IO-attached NPU.
OpenVINO might be a good alternative, as many Intel-based mini pc’s support it. Or a decent desktop with an Intel CPU. Or maybe something with an Arc GPU (integrated or dedicated).
Disclaimer: I didn’t try it yet but the last rabbit hole regarding OpenVINO comparisons looked too good to be true and it seems Frigate supports it too. Win-win.
TIL openmv.io, looks really neat for small project. Especially cool with the thermal vision, that would be a very nice addition to improve false positives for <living-things> detection.
But for surveillence, it's usually the sensor/camera quality that is the most important. I've struggled hard to find an affordable IP camera that can actually handle both shutter speed + quality in order to for example read license plates.
are you using with only one Coral USB dongle at the same time (plugged in the PN50 NUC) and get successful object or person identification with frigate?
And why telegram? Is it connected to frigate only for notifications resulting from the identifications?
a) 8x PoE cameras
b) 2x WiFi cameras + sometimes some esp32cam etc.
Yes, only one Coral dongle and it's handles all cameras perfectly. With some masks I rarely get any false positives and it is like 99% correct hit-rate.
Telegram is just a way to get a fast glance of an detection, so it sends me an image with what type of detection it was and the frame it found it in with detection frame around the object. This is handled via Home Assistant and some automation I've written. The results comes via mqtt to hass.
Running a mix of Ubiquti/TP-Link VIGI+TAPO/Reolink. I'm running everything in containers and everything works perfect!