A string of 7 suspects was apprehended by the Metropolitan Police in south London using their new Live Facial Recognition cameras.
The Met has been quietly rolling out the cutting-edge technology, dubbed Live Facial Recognition (LFR), to track down wanted individuals across the capital. 32C (90F) heat is no obstacle for LFR, as a recent deployment at Clapham Junction in south London demonstrated.
How it works
Live Facial Recognition uses advanced AI algorithms to scan crowds in real-time, comparing faces against a database of known suspects. The system can process images from CCTV cameras and other sources, making it a potentially powerful tool for law enforcement. On the day of the test, the cameras were focused on Clapham Junction, capturing images of commuters and locals going about their daily business.
It’s here that the AI takes over, cross-referencing the captured images against the Met’s database of wanted individuals. When a match is found, the system alerts the authorities, who can then intervene to apprehend the suspect. The process is reportedly swift and efficient, with the 7 suspects being rounded up in quick succession.
What this means
For the Metropolitan Police, LFR offers a high-tech solution to the age-old problem of tracking down fugitives. By leveraging AI and machine learning, they can potentially make the streets of London safer for law-abiding citizens. However, this technology also raises important questions about surveillance and civil liberties. As LFR becomes more widespread, we can expect to see a renewed debate about the balance between public safety and individual rights.
For now, it’s clear that LFR has already proven itself to be an effective tool in the right hands. The Met’s success at Clapham Junction is a testament to the potential of this technology – and a warning to anyone thinking of committing a crime in the capital. As the Met continues to refine and expand its use of LFR, we’ll be keeping a close eye on the implications of this tech for the future of law enforcement.



