Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Pressure measurement - group dynamics estimation

Algorithm that classifies movements in a group on camera images

Last change on 5th of July 2024, at 8:38 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
DPIA
Status
Out of use

General information

Theme

Public Order and Safety

Begin date

Field not filled in.

Contact information

datashop@denhaag.nl

Responsible use

Goal and impact

It was a pilot. The algorithm recognises whether a (moving) object is a human or not and determines the speed for each person. It then assigns a classification to this situation, such as "stationary", "agitated" or "panic". The aim is efficient enforcement on crowds. The algorithm is not intended to recognise people or do anything with personal data.

Considerations

It was an initial experiment to establish automated group dynamics rather than physically counting people. Citizens were filmed while on the promenade at the information point, after a few seconds the footage is deleted.

Human intervention

Yes, the enforcer. Camera and algorithm can be stopped at any time.

Risk management

A DPIA has been carried out (DPIA pressure measurement and group dynamics) describing the risks and measures. There is no bias as the dynamics are determined without preference on types of people. The choice of where to hang the cameras was made together with the enforcers.

Legal basis

Municipal Act. Section 172 Maintenance of public order (camera images) and Section 151C (processing camera images under police direction).

Elaboration on impact assessments

A DPIA has been carried out (DPIA pressure measurement and group dynamics) describing the risks and measures.

Impact assessment

Data Protection Impact Assessment (DPIA)

Operations

Data

Camera footage.

Technical design

The algorithm detects people and their speed of movement. The algorithm recognises whether a (moving) object is a human or not and determines the speed for each person. It then assigns a classification to this situation, such as "stationary", "agitated" or "panic".

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