slashing response rates and mitigating risks


AI


Deep Learning, Natural Language Processing, and Robotics.


W


hat is the impact of AI in the security technology market, in particular on CCTV equipment?


For many years now Artificial Intelligence (AI) has been a buzzword. However, if the most frequently heard phrase during the pandemic was 'you're on mute', then 'artificial intelligence' is surely making a comeback, and with a bang!


The technology available to the market today is becoming increasingly more intelligent, and following the impacts of the pandemic and the challenges that came with it, we have seen a significant shift in the use and requirements of AI technology within our security technology. The top areas of AI that are commonly explored and discussed include Machine Learning,


AI is sophisticated and far-reaching. What is certain is that it plays, and will continue to play, an increasingly significant role in our daily lives, influencing various aspects and making numerous tasks more efficient, personalised, and accessible.


I recently attended a very informative ‘Counter-Terrorism: Cyber, Safe Cities and Advanced Technical Event’, and the following statistic struck me: ‘Mark Zuckerberg took 10 months to reach 1 million users in 2004, whereas ChatGPT achieved the same milestone in just 5 days’. Take a moment to consider the sheer explosion in the volume of users turning to AI.


AI and CCTV


Closed-circuit television (CCTV) surveillance systems produce large amounts of video footage, most of which never gets reviewed. As a result, security incidents are missed, and suspicious behaviour isn't caught in time to prevent incidents. AI analytics can help address these issues.


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AI-based analytics use algorithms to go through both live and recorded video content and generate descriptions (metadata) of what is happening or has happened at a particular location. Objects such as vehicles and humans can be detected and then monitored to find significant events you want the system to react to automatically. These events can be anything from a person detected in a prohibited access area to a vehicle approaching a gate. This filtered data enables security personnel to efficiently access and react to situations.


An abundance of information is readily available – the real challenge lies in effectively utilising this information to enhance and support our businesses to mitigate risks.


CCTV Post-Security Incident


Historically, CCTV has been used as part of a post-incident review process to analyse footage captured or construct a timeline of events. This is a laborious task, with many hours spent trying to build a trail of information and reliance upon third-party information. Even within a live control room environment, it is increasingly difficult to identify incidents within busy locations. The workforce required to manage this environment can often outweigh the benefits.


AI enables the ability to search for specific items such as clothing, colours, and search functionalities. Hours, if not weeks, of footage are now accessible in minutes, at the press of a button.


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