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 identification
- Publication category
- High-Risk AI-system
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Link to publication website
Responsible use
Goal and impact
Once it is found out which type of camera the images were taken with, the results of the investigation can be used in a criminal investigation.
Considerations
We do this on behalf of the examining magistrate in criminal cases to investigate and resolve criminal offences.
Human intervention
Humans have to interpret and validate the results of the algorithm.
Risk management
The software is available to LEA organisations.
Operations
Data
At issue is the PRNU pattern, which is a type of noise pattern specific to a particular sensor in a camera.
Technical design
The input consists of an image or multiple images, or video footage from a camera. The noise patterns are extracted. New images are taken with the camera, from which the noise pattern is then also determined. The noise patterns are then compared in a database. To identify the camera, the Photo Reponse Non Uniformity pattern is used with images taken with that camera.
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