"With regard to eufy Security’s facial recognition technology, this is all processed and stored locally on the user's device."
Running a simple face recognition algorithm locally seems entirely possible. Just measure distance between the eyes, distance to nose, etc., and keep a local database of all the faces encountered. Most of the time the basestation is not doing much except storing the video stream, so it may have enough spare capacity (say capacity that would otherwise be used to stream video to a phone) to also train an AI in the background, even if it takes 30 minutes per face. Whether that database/training gets sent back to eufy and is added to a global face recognition algorithm is a different matter. Running an AI can require very few resources depending on the algorithm. Training takes more resources but can be run over the long term. Smartphones are perfectly capable of running and training a variety of ML algorithms and a basestation that can handle many video streams is likely to be more powerful than a smartphone. They might even outsource the computation to your phone.
https://www.macrumors.com/2022/11/29/eufy-camera-cloud-uploa...
"With regard to eufy Security’s facial recognition technology, this is all processed and stored locally on the user's device."
Running a simple face recognition algorithm locally seems entirely possible. Just measure distance between the eyes, distance to nose, etc., and keep a local database of all the faces encountered. Most of the time the basestation is not doing much except storing the video stream, so it may have enough spare capacity (say capacity that would otherwise be used to stream video to a phone) to also train an AI in the background, even if it takes 30 minutes per face. Whether that database/training gets sent back to eufy and is added to a global face recognition algorithm is a different matter. Running an AI can require very few resources depending on the algorithm. Training takes more resources but can be run over the long term. Smartphones are perfectly capable of running and training a variety of ML algorithms and a basestation that can handle many video streams is likely to be more powerful than a smartphone. They might even outsource the computation to your phone.