Face recognition / privacy #301
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First of all, congratulations to the project! It looks very much promising! What I would like to know is the topic of face recognition data processing/storage and privacy. Thank you! |
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Hi @Jengo5977, thanks for your encouragement and question. I can confirm that no personal data (images, metadata or AI learnings) ever leaves your local server. You can read the in-depth steps of face detection and recognition here if you are so inclined. All the computationally intensive steps mentioned in that document are handled by pre-trained, industry-standard models. This gets us to the point where we have a fingerprint (or embedding) array of 128 numbers which roughly represents each detected face. The very last step labelled Similarity Calculation / Clustering / Classification is the only part of the model that is built on the local machine. This similarity index is very quick to build (typically a few seconds) and just means that we don't have to compare the current face embedding individually with every other face embedding already in the system when we want to find the closest match. I hope this clears things up. I'll add a section regarding this to the website FAQs. |
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Hi @Jengo5977, thanks for your encouragement and question.
I can confirm that no personal data (images, metadata or AI learnings) ever leaves your local server. You can read the in-depth steps of face detection and recognition here if you are so inclined.
All the computationally intensive steps mentioned in that document are handled by pre-trained, industry-standard models. This gets us to the point where we have a fingerprint (or embedding) array of 128 numbers which roughly represents each detected face.
The very last step labelled Similarity Calculation / Clustering / Classification is the only part of the model that is built on the local machine. This similarity index is very quick to…