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.
Risk selection of posts with licence plate data for the purpose of ANPR action
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Link to publication website
Link to source registration
Responsible use
Goal and impact
During traffic checks, cars whose owners have collection debts are taken off the road. The taxpayer is given the opportunity to pay his arrears. If necessary, the car can be impounded.
The license plates of passing cars are scanned by the ANPR camera. In the process, the algorithm selects the license plates of the cars. If the number plate appears in the file, the bailiff receives a notification "hit" and the number plate is passed on to the motorbike officer who pulls the car over at the next car park.
The bailiff then discusses the outstanding debts with the driver.
Considerations
Because of the large numbers of cars and the speed at which they drive by, it is impossible to assess the license plates without technical support. The algorithm supports in assessing the license plates. As a result, the assessment is more careful and efficient.
Human intervention
Risk management
- Privacy and AVG
The use of data is tested against the General Data Protection Regulation (AVG). Reviewing personal data reveals any privacy risks and allows appropriate measures to be taken.
The AVG prescribes that no more data should be used than necessary. This is called data minimisation. The Tax Administration regularly examines whether the data used are still necessary and may therefore be used.
- Use of special personal data
The algorithm does not use special personal data.
- Equality and non-discrimination
The algorithm is assessed in line with applicable non-discrimination principles for direct and indirect discrimination. Processing as little personal data as possible reduces the risk of direct discrimination. Employees involved in developing and managing the algorithms receive training on data protection and bias.
- Safeguards
The General Administrative Law Act (Awb) requires government actions to be transparent and lawful. The Tax Administration observes the general principles of good governance when applying and developing algorithms.
The algorithm uses data collected under various tax laws. As required by the AVG, no more data than necessary is used
Legal basis
- General State Tax Act:
- General Administrative Law Act:
- General Data Protection Regulation:
- General Data Protection Regulation Implementation Act:
- Recovery Act 1990
- Payroll Tax Act 1964:
- Income Tax Act 2001:
- Corporation Tax Act 1969:
- Turnover Tax Act 1968:
- General Provisions Citizens' Service Number Act:
- Archives Act 1995:
- Policy rule CBP guidelines ANPR
Links to legal bases
- General State Tax Act:: https://wetten.overheid.nl/BWBR0002320/
- General Administrative Law Act:: https://wetten.overheid.nl/BWBR0005537/
- General Data Protection Regulation:: https://eur-lex.europa.eu/legal-content/NL/TXT/HTML/?uri=CELEX:32016R0679
- General Data Protection Regulation Implementation Act:: https://wetten.overheid.nl/BWBR0040940/
- Recovery Act 1990: https://wetten.overheid.nl/BWBR0004770/
- Payroll Tax Act 1964:: https://wetten.overheid.nl/BWBR0002471/
- Income Tax Act 2001:: https://wetten.overheid.nl/BWBR0011353/
- Corporation Tax Act 1969:: https://wetten.overheid.nl/BWBR0002672/
- Turnover Tax Act 1968:: https://wetten.overheid.nl/BWBR0002629/
- General provisions Citizen Service Number Act:: https://wetten.overheid.nl/BWBR0022428/
- Archives Act 1995:: https://wetten.overheid.nl/BWBR0007376/
- CBP policy rule guidelines ANPR: https://wetten.overheid.nl/BWBR0033241/
Operations
Data
- Vehicle status data (export, scrapped, stolen, suspended, etc.)
- Vehicles with obligation signals VPS1 (cat catchers) and VPS2 (tax defaulters)
- Company stock vehicles in the company stock of RDW authorised dealers or importers
- Vehicles registered in the name of individuals with outstanding and recoverable tax debts
Links to data sources
- Vehicle status data (export, scrapped, stolen, suspended, etc.): Copy Basisregistratie Voertuigen (CBV)
- Vehicles with obligation signals VPS1 (cat catchers) and VPS2 (tax defaulters): Copy Basisregistratie Voertuigen (CBV)
- Commercial vehicles in the stock of RDW authorised dealers or importers: Copy Basisregistratie Voertuigen (CBV)
- Vehicles in the name of persons with outstanding and recoverable tax debt: Automatic Numberplate Recognition (ANR)
Technical design
The algorithm consists of selection rules that content experts have taken verbatim from laws and regulations.
The algorithm is not self-learning. That means it does not evolve as it is used.
External provider
Similar algorithm descriptions
- The algorithm recognises vehicles based on the license plate number with which a signal is issued about driving within an area requiring a permit.Last change on 26th of June 2024, at 19:12 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- DPIA
- Status
- In use
- This algorithm helps Customs to select goods for inspection based on risk. It uses declaration data from companies and looks at whether or not there are export penalty risks in customs declarations.Last change on 10th of December 2024, at 8:43 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
Detect risks in customs declarations for compliance with licensing requirements for arms and ammunition
Customs
This algorithm helps Customs to select goods for inspection based on risk. It uses declaration data from companies and considers whether or not there are increased risks of non-compliance with the licensing requirement for weapons and ammunition entering or leaving the European Union (via the Netherlands).Last change on 27th of March 2025, at 15:26 (CET) | Publication Standard 1.0- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
Detecting risks in customs declarations: compliance with licensing requirements for ozone-depleting substances
Customs
This algorithm helps Customs to select goods for inspection based on risk. Among other things, it uses declaration data from companies and considers whether or not there are increased risks of non-compliance with the licensing requirement for ozone-depleting substances entering or leaving the European Union (via the Netherlands).Last change on 2nd of April 2025, at 12:52 (CET) | Publication Standard 1.0- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- This algorithm helps Customs and its enforcement partners to select goods for inspection based on risk. It uses declaration data from companies and looks at whether or not there are risks involved in bringing in and importing timber and timber products without a valid licence.Last change on 2nd of May 2025, at 13:15 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use