press release
Published: 13 February 2025

Artificial intelligence system reshaping the UK's war against knife crime

Knife Hunter, a new AI system developed by the University of Surrey, is offering "a glimpse of a not-too-distant future" where Britain's police forces and local authorities use AI to tackle knife crime in London and across the country. 

Created in collaboration with the Metropolitan Police, Knife Hunter is believed to be the world's first AI-based knife analysis system that allows police officers to identify weapons found during stops, recovered from crime scenes, or seized. With tens of thousands of such knives recovered annually in the UK, the system allows police to log these weapons, trace their origins through retail or illegal import channels, and monitor geographical trends.  

Additionally, Knife Hunter stores data, analyses trends, and generates reports on knife crime patterns, supporting both local policing efforts and national policymaking. Previously, such intelligence was expensive to collect and, therefore, not widely available. 

More than 50,000 knife crime offences were recorded nationwide in the year ending June 2024 – a 4% increase compared with the year ending June 2023. 

At the core of Knife Hunter is ACTNET, a state-of-the-art recognition network developed by Professor Bober's team. Trained on a comprehensive dataset of over 25,000 images spanning 550 different knife types, this advanced system excels in identifying even the most subtle distinguishing features of various weapons, regardless of viewing angle, lighting conditions, or partial occlusions. Its high precision and reliability were demonstrated during UK-wide trials conducted as part of the police's Spectre operation, validating its effectiveness in real-world operations. 

Professor Bober and his team are continuing to work with the Metropolitan Police to deliver a new product that can be used by any Police force, with an overview of how the Knife Hunter system works, the leads it can provide and how to spot crime trends. 

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