We are developing next generation software and hardware solutions for vehicle identification
and have over 20 years of experience with conventional license plate recognition.
Vehicle number plate recognition has been used successfully in a wide variety of applications to date.
However, vehicle license plates are personal data, the processing of which is subject to the General Data Protection Regulation (DSGVO).
With the vehicle identification process we have further developed (patent pending), however, it is possible to run a wide variety of applications without generating personal data. The system is prepared for certification according to § 42 DSGVO.
As an operator and user of this new technology, you will be on the safe side in terms of data protection in the future.
| Previous processing | New processing method |
|
Take picture of vehicle license plate
|
With the help of an optical sensor Acquire pixel matrix PM(x,y) of the front of the vehicle
|
| Reading out the individual characters with OCR methods to a machine-processable code: | Extract properties from the pixel matrix and thus create a vector, |
| 'R','-','Y','P','3','4','3' | that clearly identifies the vehicle: (V1,V2,..,Vk) |
| Further processing in plain text or pseudonymization | Further processing of the vector. |
| Disadvantage: | Advantage: |
| Indicator exists as personal data, | The vehicle becomes identifiable via the vector |
| even if it is pseudonymized. | without personal data being generated. The processing is therefore completely anonymous. |
| procedure is subject to the DSGVO. | Procedure will be certified according to §42 of the DSGVO. |
©Schmitz GmbH Regensburg, www.Schmitz-Regensburg.de
