ViSense on the A67

ViSense on the A67
Excluded from graph	Greens Report 2021
Deployment Status	Ongoing
Deployment Start Date
Deployment End Date
Events	* uses Record type Property:Has event Start (12 September 2018, Documented, ?, No description)
City	Geldrop
Country	Netherlands
Involved Entities
Keywords	Training
Technology Deployed
Information Certainty
Primary sources
Datasets Used	RDW database
Deployment Type	Traffic Surveillance
runs search software
managed by	ViNotion
used by	Rijkswaterstaat
Potentially used by
Information Certainty	0
Summary	For one year, an investigation will involve recording passing vehicles on the A67, obtaining vehicle information like brand and model from the RDW database using license plates. Camera images will be anonymized by making license plates invisible, and license plate information will not be stored, ensuring images can't identify individuals or vehicles. All data will be encrypted and kept private. This data will train a traffic analysis system to recognize various vehicle types.

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Deployment Purpose: Traffic Surveillance

Summary

For one year, an investigation will involve recording passing vehicles on the A67, obtaining vehicle information like brand and model from the RDW database using license plates. Camera images will be anonymized by making license plates invisible, and license plate information will not be stored, ensuring images can't identify individuals or vehicles. All data will be encrypted and kept private. This data will train a traffic analysis system to recognize various vehicle types.

• Details

Products and Institutions:

Product Deployed
Institutions ⠉
Datasets	RDW database
Search software

Status and Events:

Status	Ongoing
Events	Start (12 September 2018, Documented, ?, No description)
Start Date
End Date

Users:

Involved Entities
Managed by	ViNotion
Used by	Rijkswaterstaat

Location:

City	Geldrop
Country ⠉	Netherlands

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Description

During the investigation that will last for one year, recordings will be made from passing vehicles on the A67. Using the license plate, information on the vehicle will be obtained from the RDW database, such as the brand and model. The camera images are directly anonimized by rendering the license plate invisible. The license plate information will not be stored so that the images cannot be used to identify persons or vehicles. All data is stored using encryption and the images will not be made public in any way. During the research period, the data will be used to train a traffic analysis system to recognize the appearance of different types of vehicles.

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• Security_Vision_Wiki_References#_SCITE4bfde7391547783270a95a632406d79a