Poetry title, which is actually technical. As in most things, the dispute of the use of facial identity technology to record hospitals, as well as beyond ignorance and is given by ignorance. Because, in technically and in practice, the problem does not exist.
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To understand this question, it is necessary to understand how the facial identity system works. And, as in many themes, only literacy – can be basic – can prevent and solve problems.
The facial identity system, which is implemented in the European Union, reads the biometric properties (forehead size, nose length, height of the ears of the ears, etc.) and a code related to reliable identification – a code – a code – a code – a code.
In addition, this is a unemployment process, because when this code is produced, the part is removed because it is not as relevant to comparing it. That is, a code is produced for the combination of certain features of the person’s face, but does not produce a picture that is suitable for the same person (1).
The “mother” database used to compare “daily” readings is also made of codes arising through the same process. Therefore, at that time the X person was confirmed that the person was in front of the reader, because in the reading, a code was produced, which corresponds to the code in the “mother” database.
Only scenes created from the algorithm that read the shapes are compared only. The images are not compared, there are no parts of the images, or image pixels (2).
These facial identification systems do not read or store images, do not respect RGPD, safe and therefore their use for attendance registration (2 and 3).
When I refer to the Medicine Shadam or the test, I write with the same purpose and strategy that I have, once the user is clarified, fulfills and cooperates. Therefore, I hope this information can understand the “code” of this conflict and allows everyone to focus on solutions to real problems.
Text: In the zono
The scriptures:
(1) Shi, Q., Li, H., & Shen, C. (2010). Fast facial identification using washing. In 2010, the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 (pages 2753-2760). Article 5540001 (Proceedings of IEEE Computer Society Conference on computer vision and pattern identification). https://doi.org/10.1109/cVPR.2010.5540001.
. Controlling facial identity in EU: deep analysis, European parliament. https://data.europa.eu/doi/10.2861/140928.
. 7, pp to 111709-111726, 2019, DOI: 10.1109/Access .2019.2934226.
