SECURITY ESSEN MAGAZINE CCTV: THE DIRECTOR’S CUT
It can pan a PTZ camera to the incident location, lock doors,
trigger public
address announcements, and alert security staff . Over at Red Dot award-winning
Ajax, it’s clear that AI is part of their entire ecosystem, enabling cameras to seamlessly synchronise with other security devices which means, for example, that a triggered alarm sensor or an outdoor motion detector can instruct the AI camera to immediately act in various ways, such as to start recording or switch to higher-quality modes. Another good example is Bosch’s
newly-branded IQSIGHT range which seeks to bring visual
to environments where clarity and reliability matter the most, says CEO Sabrina Stainburn. “We are applying
AI where it
delivers value by helping systems understand what is happening and surface the events and patterns that matter most so customers can detect risk earlier, make faster decisions, and operate with confi dence,” she says. With intelligence at the edge, the cameras act as sensors to secure premises, make buildings safer
intelligence
triggered by animals, falling leaves, heavy rain, and other moving objects, AcuSense enables businesses and homeowners to focus security resources on real threats. Similarly, at China’s Dahua
Technology, AI CCTV systems use deep learning algorithms to provide high-accuracy human and vehicle detection, active deterrence, and rapid smart video search capabilities.
AI HELPS SYSTEMS UNDERSTAND WHAT IS HAPPENING AT A SCENE, ENABLING THEM TO DISCERN BETWEEN A PERSON STANDING, FOR EXAMPLE, AT A TRAIN PLATFORM AND AN INDIVIDUAL VANDALISING A TRAIN
PLATFORM, SOMEONE HOLDING A POWER DRILL VERSUS SOMEONE HOLDING A GUN
and monitor perimeters — without requiring a cloud connection. Edge- based AI also supports integration into existing systems to add visual intelligence without a rip-and-replace — such as adding cameras with visual gun detection outside entrances or supplementing systems with the ability to detect clothing colour and other tell-tale signals. Hikvision’s AcuSense technology embeds deep-learning
into select security cameras and video recorders
to automatically minimising
algorithms detect
humans and vehicles through real- time video analytics and push instant notifi cations to users’ mobile devices By
false alarms 34 | BACK TO CONTENTS Just as Chatbots redefi ned how
we talk to computers, large language models are now transforming how we use video. Cameras have evolved beyond passive recording and can now interpret visual context and follow complex instructions, unlocking new frontiers for safety and operational insight.
Security systems no longer rely
on video alone. Modern platforms combine visual feeds with audio analytics and ambient sensors. Cameras can cross-reference an unusual crowd formation with the sound of a loud verbal argument, providing higher accuracy and wider situational context.
AT MY COMPANY, WE ARE SEEING THE SECURITY INDUSTRY EXPERIENCE ITS IPHONE MOMENT, WHERE TECHNOLOGY BECOMES SO TRANSFORMATIVE THAT IT ENABLES NEW CATEGORIES OF UTILITY
JENNY NGO ABP Technology and IPTECHVIEW
Jenny Ngo, of ABP Technology
and IPTECHVIEW said: “LLMs like Google Gemini and OpenAI have spent billions in training to create new video language models for image recognition, resulting in a quantum leap beyond traditional
video
analytics.” By bringing these models to cameras, she reasoned, the sort of analytics we enjoy
today achieve
what she called “a genuine level of common-sense understanding. “At my company, we
are missing
the security industry experience its ‘iPhone moment,’ where technology becomes so transformative that it enables new categories of utility.”
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