> ## Content Index > Fetch the complete content index at: https://www.ipswich.co.uk/llms.txt > Use this file to discover other available public pages before exploring further. # Facial recognition alert leads to action against four in Ipswich - URL: https://www.ipswich.co.uk/facial-recognition-alert-leads-to-action-against-four-in-ipswich/ - Published: 2026-11-12T16:20:43.000Z - Updated: 2026-11-12T16:20:43.000Z - Description: A single alert from a police facial recognition van in Ipswich led to four people being dealt with for offences including sexual assault and affray, as part of a three-day deployment across Suffolk. - Author: Oliver Rouane-Williams - Tags: News, Policing, Town Centre & Waterfront **Why it matters:** Live Facial Recognition (LFR) technology is playing a growing role in how Suffolk Police tracks down wanted individuals, with the latest Ipswich deployment contributing to action against four people in a single week. **The details:** Officers deployed LFR in Ipswich between 3 and 5 November, using a watchlist containing 907 individuals. The technology scanned 29,120 faces in public spaces. - One positive alert contributed to police activity that resulted in four people being dealt with for offences including sexual assault, affray, failing to appear at court and a person being reported for theft. - The deployment was staffed by officers from the west and south town centre teams. **By the numbers:** The Ipswich deployment formed part of a wider three-day operation across Suffolk, which also covered Lowestoft and Bury St Edmunds. - Officers used watchlists containing more than 2,500 individuals in total across the three locations. - More than 64,000 faces were scanned. - Four accurate alerts were generated, with no incorrect alerts recorded. **What they're saying:** Sgt Anthony Welford, who oversaw the deployments and is based with the West Town Centre team, said: "Live Facial Recognition continues to prove its value as a policing tool by helping us locate people we are actively seeking and enabling officers to take swift and proportionate action." He added: "Thousands of people passed through the areas where the technology was in operation and, from more than 64,000 faces seen, every alert generated was accurate, with no incorrect alerts recorded. Images of individuals who do not generate an alert are automatically and immediately deleted and are not retained." Welford said the public response had been largely positive: "It was also very encouraging to see the public expressing curiosity and approaching us during the deployments to learn and understand more about the technology. Plenty of the public took the time look inside the van and see the system in action with virtually everyone, bar a couple of exceptions, very receptive and positive." Tim Passmore, Police and Crime Commissioner for Suffolk, defended the technology's use: "Anything that helps prevent crime, protect businesses and residents and bring criminals to justice is something I welcome. As technology continues to develop, it is important that policing embraces innovation where it can demonstrably improve public safety and deliver better outcomes for the people of Suffolk." He added: "The vast majority of people in Suffolk are law-abiding citizens and should be reassured that images of those who are not the subject of police interest are immediately deleted and not retained. Our communities rightly expect the police to use every available tool to tackle criminality, support victims and keep people safe." **The bottom line:** A single facial recognition alert in Ipswich led to four people being dealt with for offences, as Suffolk Police continues to deploy the technology across the county. --- **Don't forget:** If you enjoy our content, please [add Ipswich.co.uk as a "preferred source" on Google](https://google.com/preferences/source?q=ipswich.co.uk&ref=ipswich.co.uk) so you can easily find more of the content you value. [Add as a preferred source on Google](https://google.com/preferences/source?q=ipswich.co.uk&ref=ipswich.co.uk) --- ### This article cost us \~£27 to produce It's free for you to read thanks to the generous support of our partners. Please support us by supporting them.