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AI Use Case

Identify security-related individual targets from range of data including sensors, camera feeds and suspect activity

Identify security-related targets from analysis of sensor feeds (e.g. drone cameras) typically matched with image recognition technology. Increasing debate about the extent to which this is tied to lethal capability and the role of a trained human in the decision loop.



Risk reduction - Real time awareness,Risk reduction - Predictive diagnosis

Case Studies

US Department of Defense ~The US Department of Defense aims at increasing drone effectiveness by analysing collected footage with machine vision,"Jiangxi Province Police~Jiangxi Province Police in China used facial recognition technology to identify and arrest a single person of interest in a concert crowd of 60,000 ",Google~Google's cocktail party effect uniquely identifies and focuses on an individual's voice while watching a video of people talking in a crowded room,Deep Sentinel ~Deep Sentinel identifies neighbourhood security threats using machine vision that can detect potential intruders and other events,National Security Agency~The US National Security Agency achieves false positive rate of 0.008% for identifying potential terrorist accomplices using machine learning,US Federal Bureau of Investigation~FBI maintains law enforcement database searchable by facial recognition ,New York Police Department (NYPD)~The NYPD searched through surveillance footage using facial recognition ,Beijing Police~Beijing Police identify people by their walking gait from up to 50 metres away,Orlando Police Department~Orlando Police Department cross-references faces against persons of interest in a pilot use of facial recognition technology

Potential Vendors



Public And Social Sector


Data Sets


AI Technologies

ML Task - Prediction - Annotation,Machine Learning (ML),ML Task - Prediction - Multi-class Classification

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