10 Methods to Defeat Facial Recognition Software In 2022

No wonder facial recognition caters to a wide range of applications. Right from locating missing people, helping those who are visually impaired, improving the security of schools and airports, to counter-terrorism, facial recognition software has evolved to be no less than a savior. However, considering the fact that facial recognition is a dual-use technology, we need to have a better understanding of its ramifications. On that note, have a look at 10 methods to defeat facial recognition software in 2022.

Notifying people

Posting clear notifications in public areas as to how the public is being recorded for ill purposes would always help. This is an excellent step to create consumer awareness about the ill-use of facial recognition software. With this, people are now in a position to take whatever personal steps they desire to protect themselves from recording.

Third-party assessments

Third-party assessments turn out to be an excellent medium for organizations to have greater confidence in their FR products and services. This is because, with a third-party assessment, consumers are quite sure about the products and services offered and the organizations can help build confidence.

Restricting data sharing

One cannot overlook the fact that licensed pictures are sold to third-party organizations for FR. This is alarming because people are not really aware of the sale of their personal information. Despite there being a clear rationale for the transmission of FR images, it is always better to restrict data sharing.

Reducing the data storage time

Considering how lengthy and time-consuming the process of storing digital pictures and videos is, a worry that your data or information will be misused is natural. One can limit the misuse of data by restricting the amount of time for which video footage and images can be stored.

Accuracy standards

It is a common observation that a majority of the facial recognition software has a much higher accuracy level for white as opposed to non-white faces. Ultimately, it turns out that differential results across groups can serve as the basis for bias, discrimination, etc. An ideal solution would be to ensure that the accuracy level is very high.

Technical standards

Technical standards serve to be yet another way of making sure that applications are secure and privacy is protected. Technical standards in the area of facial recognition are important as a set of rules would enable the public to address widespread fears and thereby work to limit problems that emanate from them.

Opt-in feature

No wonder there are quite a good number of marketing applications linked to facial recognition software. As a matter of fact, consumers are very sensitive about personal privacy which is why the very idea of implementing FR for marketing purposes being limited with opt-in provisions is welcoming.

FR testing

Making sure that FR testing for certification, technical standards, and government compliance is based on representative and non-idiosyncratic data would always help. This is because people would be confident that FR testing relies upon a broad range of images, field conditions, and population groupings.

Certifications

With certifications, both consumers and businesses come to know what applications do and whether they meet specified rules. This ultimately paves the way for a high degree of uniformity, which further boosts confidence in sectors as a whole. All this makes FR software strong enough to beat all odds.

Reducing the amount of collateral information

It is quite known a fact that a good number of FR applications compile a considerable amount of collateral information or data that is unrelated to the primary purpose of the recording. As a matter of fact, there is no need for unrelated information to be retained beyond the investigation. Thus, reducing the amount of collateral information turns out to be one of the best 10 methods to defeat facial recognition software in 2022 and beyond.