TALKING POINT
MORE FOOTAGE IS NOT THE SAME AS BETTER SURVEILLANCE
Video surveillance is evolving from a passive recording tool into an intelligent platform that helps organisations detect threats faster, improve investigations and make better operational decisions. Leandro da Cunha, Surveillance BU Executive at Duxbury Networking, tells us why Artificial Intelligence-powered video analytics, intelligent storage, responsible facial recognition and secure surveillance infrastructure are transforming the way organisations extract value from their video systems while strengthening security and cyber-resilience.
For a long time, surveillance was measured by how much footage a business could capture. The weakness in that model becomes clear after an incident, when the question is no longer whether the video was recorded, but whether anyone can find the right moment quickly enough for it to matter. A business may have hundreds of hours of footage available, but that does not necessarily mean the system is helping people make better decisions.
In many environments, the problem is not too little video, but too little intelligence around the video already being captured. Operators cannot watch every stream with the same level of attention throughout the day. Investigators cannot afford to spend hours manually searching through recordings after an incident.
Turning video into useful alerts This is where AI video analytics becomes important, provided it is applied appropriately. AI should not be treated as a magic layer that suddenly makes a site intelligent. Its value lies in reducing noise, identifying patterns and helping operators focus on events that deserve attention. A perimeter breach, loitering after hours, an object left in a restricted area, a vehicle travelling in the wrong direction or a person entering a controlled zone all become more useful when the system can flag the activity quickly and consistently.
For South African organisations, the appeal is not limited to better detection. It also lies in the ability to improve existing surveillance environments without replacing every camera immediately. This matters because many customers require a practical upgrade path rather than a complete rebuild.
Storage is part of the intelligence layer Storage is often discussed purely in terms of how much footage can be saved, for how long and at what cost. While these considerations remain important, they are only part of the picture. Once analytics, metadata, searchability, retention requirements and evidence quality become part of the discussion, storage becomes part of the intelligence layer.
Leandro da Cunha, Surveillance BU Executive at Duxbury Networking
If footage may be needed for an investigation, compliance process, insurance claim, disciplinary matter or criminal case, it must be stored in a way that preserves its usefulness. The discussion should therefore move beyond storage capacity alone. Businesses must consider how quickly footage can be found, whether it remains usable throughout the required retention period and whether the surrounding infrastructure can support the demands being placed on it.
Identity needs governance Facial recognition adds another layer to the surveillance environment. There are legitimate settings in which identity matters. Accesscontrolled buildings, high-risk facilities, campuses, residential estates and specific investigative environments may need to establish whether a known person has entered a space or whether someone appearing in footage can be matched against an authorised list. However, facial recognition requires a clearly defined purpose, proper authorisation, controlled access to watchlists and carefully considered retention rules.
Connected surveillance carries connected risk Surveillance is becoming a data system, and data systems carry risk. Modern surveillance environments rely on networks, servers, storage, software, access controls, remote management platforms and, in some cases, cloud services. This makes surveillance part of an organisation’ s broader connected operational environment and cybersecurity exposure.
Cybersecurity must therefore be considered throughout the surveillance system’ s design and lifecycle. This includes controlling access to devices, protecting administrative accounts, managing software and firmware, segmenting surveillance traffic and monitoring the infrastructure for signs of failure or compromise.
Intelligence, not accumulation The next phase of surveillance is not about collecting more video for its own sake. It is about turning video into usable intelligence, supporting responsible identity decisions, storing footage in a way that preserves its value and protecting the infrastructure that keeps the system available. More footage does not automatically mean better surveillance. Better surveillance comes from recognising what matters, acting sooner, finding evidence faster and trusting that the system will hold up when it is needed. •
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