Modern solutions, such as automatic video anonymization or limiting the field of view of cameras, allow for the minimization of the collection of data that is irrelevant from a security perspective, while simultaneously protecting the privacy of individuals.
Thanks to these solutions, it is possible to achieve objectives such as security or monitoring while simultaneously reducing interference in personal spheres. These technologies are becoming a key tool in ensuring a balance between effective protection and respect for privacy.
If you are interested in how modern technologies can protect your data, we invite you to read the article in which we discuss the available solutions.
A few words about monitoring
The data controller, if they decide to use video monitoring, must first establish the purpose of using such a tool. In particular, they should assess whether the use of cameras with a wide field of view is permissible and ensure that the area covered by the camera guarantees the privacy of individuals. Additionally, the controller must remember the principle of data minimization, which is particularly important in relation to video monitoring, as the scope of data processed from the images captured by the cameras should be reduced to an absolute minimum.
The choice of camera locations must be well thought out and take into account the protection of the privacy of monitored individuals. Cameras should not be directed towards areas where the privacy of third parties could be violated. This means that before initiating monitoring, the controller has an obligation to assess where and when the use of such measures is absolutely necessary.
Minimizing personal data in video monitoring is an essential element of responsible and GDPR-compliant data processing. By applying appropriate practices and technologies, it is possible not only to ensure the protection of individuals' privacy but also to effectively and efficiently utilize the video monitoring system.
Key rules regarding video monitoring
- Defining the purposes of data collection: Before implementing a monitoring system, the purposes of data collection must be clearly defined, and the principle of data minimization, as stated in the GDPR, should be followed.
- Regular assessment and updates: Regular reviews and updates of procedures related to data processing are crucial for ensuring the controller's compliance with GDPR requirements.
In response to these challenges, the technology sector is developing new tools and technologies that enhance the privacy of individuals whose images are processed through video surveillance.
New Techniques and New Challenges for Data Controllers
Current technologies enable data controllers to utilize solutions that blur images or limit the field of view. Blurring not only protects the privacy of individuals but also contributes to the protection of sensitive data that could be misused. This makes it possible to ensure compliance with legal regulations, including the data processing principles set forth by the GDPR.
Importantly, new technologies allow for the customization of blurring parameters according to specific needs. One can determine the degree of blurring, the areas of the image to be blurred, or choose different modes of operation depending on the situation.
Anonymization of Video Recordings
Blurring faces and other distinguishing features of individuals in recordings is one of the most popular methods of anonymization. Advanced artificial intelligence algorithms automatically identify and blur areas of the image while keeping the rest of the recordings intact. The technique of converting color video recordings to black and white can also contribute to anonymization. Data captured in such recordings from surveillance eliminates additional information contained in colors, e.g., which may reveal details about the characteristics of a natural person.
It is very important that the solutions available on the market enable automatic processing and anonymization of recordings in real-time. This significantly increases the efficiency and effectiveness of privacy protection.
Static Masking Systems
For video surveillance to fulfill its purpose, it is necessary to adjust the camera view to specific needs and requirements. One of the tools that allows for this is the static masking system. It involves covering specific areas of the camera image to conceal certain information or private zones. This means that a given area on the monitor is fixed and unchanging, regardless of movements within the frame.
Masking is a very interesting solution, as it allows a selected area to be displayed in very low resolution. This technique enables the data controller to observe specific activities in the area of their choice while ensuring that the image does not contain details that would allow for the identification of a natural person.
Applications of Static Masking
- Privacy Protection: Static masking can be used in places where images of individuals are recorded, such as stairwells, aisles in stores, or parking lots, as well as to obscure private areas, such as entrances to properties.
- Protection of Trade Secrets: In industrial and commercial facilities, static masking can be employed to obscure areas that are particularly important to the data controller, such as those related to business secrets.
Dynamic Masking Systems
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Dynamic masking is a technology that allows for the adjustment of the area visible through the camera in real-time, according to the preferences of the data controller. Unlike static masking, which maintains a constant obscuration of specific areas, dynamic masking allows for a movable and adaptive selection of the visible area in the recording. This enables the system to automatically adjust the camera view, for example, in situations where an event occurs related to unauthorized entry onto private property or a break-in.
In practice, this means that the data controller will have the ability to implement a solution based on artificial intelligence in their visual monitoring. Using this technique, the system installed in the cameras allows for the observation of movement or actions while simultaneously protecting the privacy of individuals present in the recordings. This occurs because the system masks images containing personal data, such as the likeness of a natural person (face) or vehicle registration numbers.
Applications of Dynamic Masking
- Intelligent monitoring: Advanced monitoring systems can utilize dynamic masking to identify specific events, such as unauthorized access to the data controller's premises, as well as to respond to them.
- Response to movement: Dynamic masking can be used to automatically track and mask moving objects or individuals entering a designated area.
Summary
The use of video surveillance in the context of personal data protection poses a challenge that requires a responsible approach and the application of best practices. Proper implementation, securing, and managing the video surveillance system can contribute to effective personal data protection, ensure compliance with the GDPR, and build trust in new technologies. In an era of increasing sensitivity to privacy issues, video surveillance can serve as both a tool for ensuring security and guaranteeing an appropriate level of personal data protection.
