As technology is progressing in leaps and bounds, so is the realm of security. And nowadays almost in every organization or home the technology of facial recognition has been used. While this kind of cutting-edge technology has come into being, most of the users are oblivious of its usage. And the question keeps on being there about how to use it? This question culminated in dragging Facebook to court as well.
Hence, Facebook has decided to use face templates for the time being in its tag suggestions section. And this mess of Facebook must have been a warning to companies providing high-tech biometric services through the means of facial recognition. And it is also used in multiple arenas like dating sites to identify faces, by casinos to identify gamblers etc. And the facet of GDPR and facial recognition is a wonderful combination in bringing up a revolutionary technology for all. Given below is a complete guide about how that happens.
How face recognition comprises the GDPR?
With the enactment of the GDPR data security legislation since 1995, users can optimize more power than before. And this sort of preventive measure was required indispensably as technology is developing at a rampant pace. On the contrary, most of the companies remain confused about its usage. We all know that the GDPR face recognition technology is all about identifying the features of a person’s face.
And this kind of data is extremely sensitive by nature. Hence, this has been categorized under the biometric data. And this kind of data is usually termed as sensitive personal data. More importantly, the GDPR has further more subdivided the realm of FTR into two major categories. The two of them can be considered as follows:
- Behavioral Characteristics: This includes actions, habits, personality traits, addictions, quirks to name just a few
- Physical Attributes: Fingerprints, facial features, weight, iris characters etc.
And this set of rules will provide even more power to its fellow users and add more stringency to their personal data.
Compliance of face recognition policies with GDPR
It’s a fact that GDPR is immensely repressive in terms of sensitive data. But, there are actually some kinds of data that can be used in a hassle free manner by its users. And a few of the terms and conditions include:
- If the user has willingly given his /her permission
- If the biometric data is required to carry out social security data, social security and obligations protections
- If the biometric data is used for legal issues
- If the biometric data is meant for protecting the vital interests of the person. And if the person is incapable of giving his/her consent
- If the biometric data is to be used for complying the needs of a public sector like health etc.
That apart, there are also a few steps which you can conform to ensure the categorization of FTR under GDPR. A few of these steps can be considered as follows:
- Prioritize Users’ Consent
As a matter of fact, the GDPR is providing its users immense liberty in terms of usage. And if your GDPR face recognition services are also feasible enough, then no worries at all! If you really want your customers to find your services trustworthy, then you must provide them enough liberty as well. If the customers don’t follow the features in your biometric services, they can abruptly quit:
- Permission to agree or disagree to store their personal data
- Permission to quit as they wish
- Names of the other third parties availing your services
- Nitty-gritty information on what data will be collected and why to name a few
- Anonymize the data
The finest way to protect your various FRT data is by anonymizing them. For this, you remove the names from the existing data set before they are accessed into another database. Image anonymizing data can also be used to anonymize the related information. In case the anonymizing method is not effective, you can use the pseudonymizing method also. This method falls under the GDPR legislation as it is used to protect the related biometric data. And hence, to locate the original source of the data becomes more difficult and they can remain in a safe ambience.