Western governments are implementing the most severe budget cuts of recent times. Against this backdrop, threats from terrorism, organised crime and public disorder continue to rise. Yet recent statistics in the UK demonstrate that authorities can remain resilient and still ensure law-and-order. The targeted application of technology can further increase resilience and the readiness to respond to major events. The relentless advance in the accuracy of face recognition technology, increase in the availability of digital media and mass availability of cheap computing power now provide unique opportunities to meet challenging budgets by drastically enhancing the operational efficiency of forensic investigators while even further enhancing public safety. Digital media can be bulk-ingested in an automated fashion to be processed in a cloud computing environment to identify and extract potential actionable intelligence. Processing is continuous, consistent and predictable. Multiple identification technologies can be deployed and the most suitable algorithms integrated to meeting evolving requirements. Analysts can now focus on investigating and confirming suggested results rather than having to manually watch countless hours of media in the hope of stumbling across the required information. Expanding beyond traditional sources of media is increasingly being accomplished by engaging the public and crowd-sourcing intelligence in response to incidents.
The accuracy of face recognition has increased dramatically. Whilst the benefits to business are clear and seductively tantalising, it has been impossible to ignore the increasing murmurs of discontent amongst the wider population. Can the industry be relied upon to self-regulate? Will commercial enterprise go too far in their quest to maximise profits? How far is too far? How can organisations ethically make use of face recognition technology to increase efficiencies and drive revenue, whilst respecting and preserving privacy and maintaining the trust of their clientèle and society?
The accuracy of face recognition has increased dramatically. The top performing algorithm in independent evaluations by the US National Institute of Standards and Technology (NIST) is now capable of providing reliable results in real-world environments; the technology is being deployed in airports today to enable everything from automated immigration processes, improved surveillance, security and seamless passenger travel, to the gathering of valuable statistical information pertaining to passenger movements.