AI for Public Security and Safety: Introduction
Public security and safety includes a wide range of responsibilities in the public and government sector, ranging from policing to responding to natural disasters. AI (Artificial Intelligence) for public safety and security has the potential to improve safety as well as security across the area.
AI for public security and safety provides the potential to decrease, avert, and respond to crimes, resulting in one-of-a-kind opportunities to ensure security in both small and large communities.
AI for public security and safety also helps to simplify management while supporting highefficiency analytics, reducing costs, wastage of time, and human lives lost.
AI is now being applied in public security and safety for picture and facial recognition, crime scene management, and criminal behavior identification. Face Recognition (FR) is being tested at airports in India to help travelers go through security faster and safer. From July 2019, the Rajiv Gandhi International Airport (Hyderabad) uses the FR system to allow passengers to enter the airport on a trial basis.
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Artificial intelligence is being implemented by national governments all around the world to predict dangers and prevent crime. Revolutionary AI capabilities for public security and safety enable jurors and investigators to investigate a wide range of crime scene factors without the need for specialized knowledge or expensive equipment.
Local governments in many countries throughout the world are investing in AI for public security and safety. Unlike the traditional forensics approach, AI for public security and safety can assist authorities close cases faster by speeding up crime scene analysis and investigations.
However, AI for public security and safety is costly to purchase; therefore, law enforcement end-users with limited procurement budgets opt out. This is a challenge to AI adoption for public security and safety.
In September 2001, the United States experienced a catastrophe that resulted in the deaths of many people, as well as socio-economic effects that shook the entire country. Incapacity of first responders’ to communicate and act efficiently was highlighted. As a result of the public’s exposure to this limitation, FirstNet, a nationwide public safety Long Term Evolution (LTE) and mobile broadband network infrastructure, was created. In March 2017, the US federal government urged AT&T, Inc. to join a Public-Private Partnership. The goal of this effort was to create and administer a national public safety LTE and broadband network.
Furthermore, because AI is yet to acquire foothold on a worldwide scale, the reliability of evidence gathered using AI for public security and safety, as well as its eventual acceptability in court, is still a source of debate in many countries. Such issues are expected to hinder the overall AI for public security and safety market.