The applications of Swarm Analytics are already in use in Europe, North America and New Zealand.
Of course. However, if the camera stream is still recorded, it is subject to GDPR and typically has to be deleted after 72 hours. The extracted statistical data, on the other hand, can be used.
For standardized applications, such as parking lots, the hit rate is almost 100 %. In other areas like public transport buses, it's somewhat more difficult because there are often partial overlaps of people. But even there, the Swarm algorithms achieve a precision of more than 95 %.
Besides the recognition of the classic traffic objects (truck, bus, delivery van, car, motorcycle, bicycle, pedestrian), in the near future, it will also be possible to estimate peoples' age and gender. This is explicitly allowed, according to the European data protection committee, as long as no biometric data are stored.
In the legal and practical sense, not really. The camera still generates a digital image that the Swarm Analytics hardware immediately analyzes, but does not forward or save. Each image actually exists less than 50 milliseconds as a data object and is immediately deleted in the computer memory. It is similar to an eye, which also takes pictures, but does not save them either.
Entry and exit counts are very suitable for recognizing the total number of people in a specific area (e.g. open-air pool, market or stadium). If COVID related distance rules should be kept, the distribution of people is important. Therefore, the Swarm Analytics device also directly outputs the distribution of objects in an area. However, partial roofing or large sunshades can make it difficult to recognize the people-distribution.
No. Every image is immediately deleted from the Swarm Perception Box memory after the analysis. No image is saved at any time.
The generated data is no subject to any restrictions since it does not contain any personal data. If the data is linked to other data sources, the situation has to be clarified with the operator's data protection officer.
No biometric characteristics are collected, which means no individuals can be identified. In particular, the algorithms of Swarm Analytics do not use facial recognition.
Just like the human eye, Swarm's algorithms can recognize people without analyzing their faces in detail. The estimation of gender and age is done with statistical similarity criteria, which are much rougher and faster. The detailed analysis of facial features such as eye relief, nose and mouth sizes are not necessary and not even useful, because these criteria would hardly change with age.
No. There is no data collection permit or reporting system required. As long as the data is not linked to other data sources, there is no need for a data protection authorization or a data protection impact assessment necessary (see DSFA-AV). The image generated by the camera exists only about 50 milliseconds and is neither saved nor forwarded. The output of the software is textual data, which is then visualized in the dashboard of the user. Therefore, there is no personal data collected.
The system only sends, which means it is invisible to an active attack. It is also not possible to connect to the camera.