The Security Vision Database

Enter the database Run Query Getting started! What is the Security Vision Database? What? The Security Vision Database is an exploratory database which aims to collect, both in quantitative and in qualitative form, the knowledge we currently have on the uses of computer vision in the field of security at the global level: facial recognition, fingerprint recognition, crowd management, control and command centers, etc. Data. The data collected here is based on original research carried out by Security Vision researchers on open source documents. It also contains data collected by several citizen initiatives such as [Technopolice https://technopolice.fr] or Atlas of Surveillance. We reference all the sources we used, so all the data can be traced. References are indicated on each deployment page and stored in a group library on Zotero How you can contribute? The database is structured as a wiki. Everyone is welcome to contribute, editing existing records or adding new ones. In order to meet the standards of academic research, all contributions need to based on published information and are submitted to a review procedure. If this is the first time you are editing this wiki, please make sure you read the Best Practices page on how to import text, quote references and other important rules to follow in order to keep a tidy and coherent wiki. Who created the database? The database has been developed by the team of Security Vision, a research project funded by the European Research Council and based in Leiden University's Institute of Political Science. How to cite? TBC

Colophon what if the colophon appeared here instead of in the menu? a simple colophon with short about and redirect to internal links (more in-depht colophon and credits?) external links (project page, dataviz,)

What is the Security Vision Wiki?

What? The Security Vision Wiki is a repository of information which aims to catalogue the uses of surveillance technologies based on the algorithmic treatment of images across the world. Images can be visual, but also auditory or thermal. The most common technologies currently in use include facial recognition, iris and fingerprint recognition, object detection, object tracking, etc. These technologies are deployed for a variety of purposes: surveillance, crime prevention, border control, public health surveillance, traffic control, but also political or labor surveillance.

Data. The data collected here is based on original research carried out by Security Vision researchers on open source documents. It also contains data collected by several citizen initiatives such as Technopolice or Atlas of Surveillance. We reference all the sources we used, so all the data can be traced. References are indicated on each deployment page and stored in a group library on Zotero which is publicly accessible online.

Purpose. What is the purpose of this project? While the researchers who have contributed to this wiki are academic researchers, the objective is to provide and present information that can be useful for the public debate on the uses of AI technologies in the field of security. For this reason, everyone is encouraged to contribute.

How you can contribute?

The database is structured as a wiki. Everyone is welcome to contribute, editing existing records or adding new ones. In order to meet the standards of academic research, all contributions need to based on published information and are submitted to a review procedure. If this is the first time you are editing this wiki, please make sure you read the Best Practices page on how to import text, quote references and other important rules to follow in order to keep a tidy and coherent wiki.

Who created the database?

The database has been developed by the team of Security Vision, a research project funded by the European Research Council and based in Leiden University's Institute of Political Science.

How to cite?

You are welcome to cite the Security Vision Wiki as a source for your research. Please use the following format “Title of the Article”, The Security Vision Wiki, Security Vision, Date, Accesible at URL.