3/11/2023 0 Comments Deepomatic checkers challenge![]() If you also have a project to anonymize images or video streams, do not hesitate to contact us. This solution allows rapid image processing and ensures the preservation of personal data (in this case, biometric data) of users of the Paris transport network. More specifically, anonymization is achieved through an automatic blurring module that operates in real-time. Let’s consider the following example to illustrate this point.ĭeepomatic has set up a tailor-made system for RATP to anonymize the video stream from their video surveillance cameras. In fact, each company and industry have different needs and requirements. Case study: RATP and the anonymization of video streamsĭata anonymization solutions must be built on a case-by-case basis. The dataset is poorly anonymized if it does not meet all 3 conditions. Inference: can you deduce information about an individual? No induction allowing the identification of a person should be possible.Deepomatic edits a no-code software platform to digitize field operations using. Correlation: is it possible to link separate data sets for the same individual? In other words, the cross-checking of information must not be possible. Veritone Enterprise AI to Solve Today and Tomorrows Challenges.Individualization: is it always possible to isolate an individual? In other words, it must not be possible to identify a particular individual.To ensure effective anonymization, the CNIL(1) considers that a set of anonymized data must meet 3 main criteria: Indeed, it is easier to re-identify a person by cross-checking information. Consequently, anonymization seems much less effective. However, companies are facing a growing and increasingly difficult volume of data to manage. Generalization: generalize the data so that they become common to a set of people and not to a particular person.Randomization: transforming data so that it can no longer be attributed to a real person.There are two main techniques for anonymizing data: Therefore, pseudonymization is a less powerful data processing than anonymization since it does not totally and definitively prevent the identification of a person. That is, it is still possible to re-identify a person using additional information. However, its main objective is to prevent direct identification. Like anonymization, it consists of a transformation of personal data to prevent the identification of an individual. ![]() Irreversible means that it must be impossible to re-identify the person in question, directly or indirectly.Īn alternative is pseudonyimzation. What is data anonymization?ĭata anonymization refers to an irreversible transformation of data to prevent the identification of a particular individual. There are different methods for data protection and, particularly, data anonymization. Indeed, protecting citizens names and surnames as well as their biometric data is a question of preserving their private lives. Since its implementation in May 2018, the GDPR has promoted the privacy of European users by requiring companies to protect the personal data they collect.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |