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Knife Hunter, an innovative AI system from the University of Surrey, is set to transform the UK's approach to knife crime. Developed in partnership with the Metropolitan Police, this system enables law enforcement to identify and analyze knives found in various situations, enhancing their ability to trace weapon origins and monitor crime trends. With knife crime offenses on the rise, Knife Hunter offers a timely solution to improve public safety.
The core technology behind Knife Hunter is ACTNET, a sophisticated recognition network that accurately identifies different knife types from a vast dataset. This advancement not only streamlines the process of analyzing evidence but also provides crucial insights for local and national policing strategies. The collaboration between academia and law enforcement exemplifies how AI can be harnessed to create safer communities.
• Knife Hunter is the world's first AI-based knife analysis system.
• ACTNET excels in identifying knife types from diverse images and conditions.
Artificial Intelligence refers to computer systems that simulate human intelligence, applied here to analyze knife crime data.
Machine Learning is a subset of AI that enables systems to learn from data, crucial for Knife Hunter's recognition capabilities.
Image Recognition is a technology that allows computers to identify objects in images, utilized by Knife Hunter to analyze knives.
The University of Surrey is involved in AI research and development, specifically creating Knife Hunter to combat knife crime.
The Metropolitan Police collaborates with the University of Surrey to implement Knife Hunter in real-world policing efforts.
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