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.

Camera surveillance traffic measures

Leiden municipality uses ANPR (Automatic Number Plate Recognition) cameras to check whether vehicles are allowed to drive in a certain area. This applies to zero-emission zones and car-free zones in the city. If a vehicle is not allowed to drive in an area, the camera recognises it and a manual check takes place to see if someone is fined.

Last change on 13th of May 2025, at 7:47 (CET) | Publication Standard 1.0
Publication category
Impactful algorithms
Impact assessment
DPIA
Status
In use

General information

Theme

Traffic

Begin date

04-2023

Contact information

algoritmes@leiden.nl

Responsible use

Goal and impact

The city centre and surrounding streets will become more car-free in the future. There is also a zero-emission zone for city distribution in the city centre. We therefore need to think carefully about how to regulate access to these areas smartly and efficiently. This applies to enforcement as well as exemptions.


We think automatic license plate recognition (ANPR) works best. These cameras can monitor a complicated system of rules well and clearly. This way, we also comply with the law.

The aim is to digitally enforce traffic rules in these areas. The software recognises and photographs license plates of vehicles ignoring an entry ban. The photo, with date, time, location and vehicle details, is then automatically transmitted to our enforcement system.


Impact:

A license plate is recognised and stored. An algorithm or control selects license plates that are (perhaps) at fault. This selection reaches a boa (special investigating officer). This officer checks whether there is an offence. Sometimes nothing happens, sometimes a fine follows.

Considerations

The choice of a "soft cut" (closure by camera) will be laid down in the traffic decision. This will weigh up the impact on stakeholders against the public interest.

Human intervention

An enforcer (always a boa) sees licence plates selected by the software on his screen and at that point can manually assess whether there is an offence. The enforcer can then draw up an official report and send it to the CJIB.

Risk management

As personal data is processed, extra attention is paid to security. All data is processed in a secure environment.Security measures are contractually defined in Service Level Agreement with supplier Brickyard.Only boas of the municipality and employees with a designation to view police data are granted access to the data of observed offences. Data from other vehicles is also shielded from them. Anomalies are reported directly to the supplier.

Legal basis

Section 18(1) WvW 1994 Regulation on domain lists of special investigating officers, Domain 1. Item 10: Article 62 RVV 1990 in conjunction with Appendix 1 Chapter C

Links to legal bases

  • Artikel 18 lid 1 WvW 1994: https://wetten.overheid.nl/jci1.3:c:BWBR0006622&hoofdstuk=II&paragraaf=2&artikel=18&z=2024-06-19&g=2024-06-19
  • Regeling domeinlijsten buitengewoon opsporingsambtenaar, Domein 1: https://wetten.overheid.nl/BWBR0041447/2024-08-01

Link to Processing Index

https://leiden.registervanverwerkingen.nl/details/4e6e8ff2-38d8-4c0a-93c3-63e81f246096

Elaboration on impact assessments

A DPIA has been carried out.

Impact assessment

Data Protection Impact Assessment (DPIA)

Operations

Data

Photographs of license plates when closed, permits, license plate data.

Links to data sources

RDW: https://opendata.rdw.nl/

Technical design

Image recognition. ANPR cameras at 20 different locations record motor vehicle license plates. (The algorithm checks whether an exemption has been granted and determines whether photos are submitted for evaluation in the enforcement system. The vehicle data are enriched in the enforcement system using a link to the RDW.

External provider

Brickyard

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