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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 - counting people

Algorithm that counts the number of people in a camera image

Organisation
Municipality of The Hague
Department
Publiekszaken
Domain
Field not filled in.
Algorithm type
Rule-based
Status
In use

General information

Name

Pressure measurement - counting people

Organisation

Municipality of The Hague

Department

Publiekszaken

Short description

Algorithm that counts the number of people in a camera image

Algorithm type

Rule-based

Domain

Field not filled in.

Link to publication website

De camera's zijn toegevoegd aan onderstaande kaart. https://ddh.maps.arcgis.com/apps/webappviewer/index.html?id=8531785e9a8c4450be8839385003f1bc. Informatie over het project en de privacy verklaring: https://smartcity.denhaag.nl/druktemetingen/

Status

In use

Application

Purpose

This is a pilot project. The aim is to measure crowds. The algorithm is not intended to recognise people or do anything with personal data.

Impact

Citizens will have to deal with the effect of the algorithm when roads may be closed and diversions formed during large crowds.

Proportionality

It is a privacy-friendly way of measuring pressure.

Decision making process

Pressure measurement

Legal

Authorized body

The Hague municipality is the processing controller. Processing is carried out by the supplier AI Tech.

Formal grounds

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

Human Rights Impact Assessment (IAMA)

No IAMA but an AIIA.

IAMA Description

Field not filled in.

Data Protection Impact Assessment (DPIA)

Yes

DPIA Description

After the pilot, technical development and management should be separated.

Objection procedure

N/A

Metadata

Contact email

datashop@denhaag.nl

Geographic area

The Hague, Scheveningen

Language

NLD

Use-case

Long description

The camera records, a number of seconds. The server right next to the camera counts the number of people and deletes the data. The algorithm is trained to recognise people in different situations such as for example on a bicycle, in a wheelchair or crawling.

Usage of base registries

No

Data sources

Camera footage.

Supervision

Monitoring

There will be 2x evaluations within the pilot.

Human intervention

Yes, the traffic controller acts on the data.

Risks

There is a risk of someone physically hacking the system. An ethical impact assessment (AIIA) was done in a precursor to this experiment. This experiment used the Digital Mirror City Ethical Framework. DPIAs were also done (the DPIA pressure measurement) describing the risks and measures regarding privacy. There is no bias, as individuals are counted without preference. The choice of where to hang the cameras was made together with the enforcers in the previous pilot.

Evaluation metrics

Signals should be valuable. Evaluations will be conducted. After the experiment, added value will be weighed against importance.