A six-month trial of live facial recognition (LFR) technology deployed across London's railway stations concluded with a single false match and zero arrests, despite consuming more than £320,000 in public funds and nearly 100 hours of police officer time. The scheme scanned over half a million faces between February and July across some of the capital's busiest transport hubs as part of a British Transport Police (BTP) initiative intended to identify offenders and individuals breaching court orders.
Documents released through a freedom of information request and obtained by Liberty Investigates reveal that equipment hire and staffing across 18 separate deployments cost taxpayers £320,786. The sole alert generated proved to be an incorrect identification—a false positive—rather than a genuine match against the watchlist of suspects.
The trial's limited success has not deterred expansion. Last month, BTP announced a four-month extension incorporating London Underground stations alongside continued Network Rail deployments. The first Underground deployment took place at Victoria station on 11 August, with the expanded trial scheduled to run until November 2026.
Transport for London backed the extension, stating that LFR technology would "target and identify people on police watchlists at key stations chosen for maximum impact" and would "specifically tackle violence against women and girls, whose travel behaviours are shaped by experiences of sexual harassment and sexual offences".
What does the watchlist contain?
The authorised watchlist is linked to serious and high-harm offences, according to BTP. The list targets individuals wanted in connection with robbery, knife crime and sexual assaults. When a possible match is flagged by the system, an officer conducts a manual review; non-matching images are deleted immediately and alert images within 24 hours.
How proportionate is the technology?
Fraser Sampson, former biometrics and surveillance camera commissioner for the UK, cautioned that police must demonstrate the deployment meets strict criteria.
There many variables and all need to align: the choice of location, times of day, make up of the watchlist and likelihood of people being present and many more.
Sampson, now a non-executive director of Facewatch, a company operating facial recognition systems in retail environments, drew a distinction between commercial and law enforcement applications.
We know the technology works but using it in supermarkets to deter shoplifters and prevent attacks on staff is very different from deploying it to catch people on a public transport network.
He assessed the trial's outcomes critically.
Success in a shop means no such people coming in. Success for the police trying to catch people means people being caught. In that respect the trial doesn't appear to have been very fruitful.
Sampson emphasised that the technology's effectiveness depends entirely on watchlist composition.
Everything depends on the police watchlists; if you're not on a watchlist, the live FRT cameras do not 'see' you and they don't retain your image in the same way as CCTV cameras.He stressed that
they are processing special category personal data and the technology must be used in a way that is appropriate, proportionate and necessary. It's for the police to show how any deployment meets those criteria and – as the ICO [information commissioner's office] has recently reported – for their oversight boards to hold them firmly to account in doing so.
How widespread is facial recognition deployment?
More than half of police forces across England and Wales have now deployed LFR on British streets, according to analysis by Liberty Investigates. The Metropolitan Police and London's mayor's office announced plans this summer to install fixed LFR cameras in the West End, with Mayor Sadiq Khan subsequently confirming deployment on the newly pedestrianised Oxford Street.
This expansion occurs against a backdrop of growing political support for surveillance technology. The Conservative Party has called for police to be required to use facial recognition more widely, including on CCTV and phone images, as part of a crime-fighting plan. Meanwhile, Scotland's police watchdog chief has called for live facial recognition and drone technology to combat football disorder.
What are the human rights concerns?
A recent report from parliament's joint committee on human rights, which examined artificial intelligence's threat to human rights, identified the rollout of live facial recognition technology as a "particularly clear example of risk". Bell Ribeiro-Addy, Labour MP for Clapham and Brixton Hill, called for immediate action.
Live facial recognition technologies are a serious invasion of our privacy. The government should be suspending their rollout until there are stronger safeguards in place, including a proper legal framework.
International experience suggests caution is warranted. In the United States, the CEO of surveillance camera company Flock admitted the firm acted too slowly to stop police misuse of its systems, with abuse cases spanning at least 12 states.
What does BTP say about the trial?
A BTP spokesperson defended the pilot, stating it was launched to "understand how the technology could most effectively support the identification of wanted offenders and individuals who may pose a risk to passengers and staff". The force noted that officers made arrests during deployments for assault, theft, possession of an offensive weapon, breach of a criminal behaviour order and public order offences, as well as locating individuals wanted by courts and other police forces.
As these arrests did not result directly from an LFR alert, they are not included within LFR performance data.
BTP emphasised ongoing refinement of deployment methods.
Throughout the pilot, we have continued to refine how the capability is deployed within the railway environment. This has included developments to deployment locations, operating procedures, equipment and watchlist construction.The force stressed that
watchlist growth has been deliberate, controlled and aligned to BTP policy. We began with a more limited watchlist whilst ensuring data quality, governance and safeguarding arrangements were robust.
What happens next?
The expanded trial will continue rotating deployments between London Underground and Network Rail stations through November 2026. The scheme's extension into the Tube network represents a significant expansion of facial recognition surveillance across London's transport infrastructure, despite the initial trial's failure to produce any arrests through direct LFR identification.
Key Facts
- The six-month trial cost £320,786 and consumed nearly 100 police hours across 18 deployments
- Over 500,000 faces were scanned between February and July, resulting in one false positive and zero arrests
- The expanded trial now includes London Underground stations and is scheduled to run until November 2026
- More than half of police forces in England and Wales have deployed live facial recognition on public streets
- Parliament's human rights committee identified LFR rollout as a "particularly clear example" of artificial intelligence risk to human rights
