Algorithmic video surveillance (VSA)

Algorithmic video surveillance, or vidéosurveillance algorithmique, applies software to existing camera feeds to detect predefined events automatically: crowd density above a threshold, movement against the flow, an abandoned bag, a person on the ground, a fire, a weapon.

France's implementation is the most legally documented example in Europe, and its trajectory is the reason it matters.

WHAT IT DOES, AND WHAT IT DOES NOT

The French framework deliberately excludes biometric identification. The systems detect events, not identities: an algorithm flags that someone has fallen, not who they are. This distinction is central to the legal case made for it, and it is a real one — event detection and facial recognition are different capabilities with different intrusion profiles.

That said, the same cameras and the same feeds could support identification if the law permitted it, and the constraint is legal rather than technical.

THE EXPERIMENT THAT DID NOT END

Algorithmic video surveillance was authorised as a time-limited experiment tied to the 2024 Olympic and Paralympic Games. Experimental authorisation was the basis on which it was accepted: a defined event, a defined end date, and an evaluation.

It has since been extended. The loi Ripost passed the Senate on 26 May 2026 and went to a joint committee on 21 July 2026, extending the framework to December 2030.

That sequence — exceptional measure for an exceptional event, then extension — is a pattern this site records wherever it appears, because the political cost of authorising a surveillance capability is paid once, at the point of the exception, and extension attracts far less scrutiny than the original authorisation did.

THE CASE FOR IT

Event detection genuinely helps in dense crowds. A person who falls in a packed concourse may not be visible to any operator watching dozens of screens, and an alert that draws attention to that camera is a safety improvement rather than a surveillance one.

The exclusion of biometric identification is a meaningful legislative choice, not a technicality. France drew a line that several jurisdictions in this catalogue have not, and the systems operate within it.

Experimental authorisation with an evaluation requirement is also, in principle, the right way to introduce a contested capability — better than deployment under general powers, which is how much of the technology on this site arrived.

THE CASE AGAINST

The extension undermines the framework that justified the original authorisation. An experiment that is extended before its evaluation has settled the question is not functioning as an experiment.

Event detection is defined by whatever the operator configures it to detect. The categories are set administratively, and a system that detects abandoned bags today can detect gathering crowds tomorrow without new hardware or, potentially, new legislation.

The infrastructure argument applies here as elsewhere: cameras and processing installed for event detection are the same cameras and processing that biometric identification would require, and the only thing separating the two is a legal prohibition that a future parliament can amend — as this one amended the end date.

And the evidence base for effectiveness is thin. No published evaluation establishing that algorithmic detection improved outcomes during the Games, as against additional staffing or conventional monitoring, was identified.

WHAT IS NOT ESTABLISHED

Whether the mandated evaluation of the Olympic period was completed and published, and what it concluded, is not established here.

Which specific detection categories are currently authorised, and whether the list has changed since 2024, is not documented in the sources reviewed.

How many cameras currently run algorithmic analysis in France is not published.

Whether any assessment has been made of false alert rates, and the operational burden they impose, is not established.