Blog by Leandro da Cunha, Surveillance BU Executive, Duxbury Networking
Surveillance upgrades are often discussed as if the only real question is whether the new camera is better than the old one. However, the more important question is whether an upgrade reduces operational pressure in the surveillance environment or simply adds another layer of cost and complexity.
A company’s surveillance environment is not static. Sites expand, risk changes, analytics requirements become more demanding, and older hardware eventually reaches the point where it can no longer support what the business needs. The challenge is that most organisations cannot afford to refresh everything at once. They need a more practical upgrade path, especially in distributed environments, where labour, downtime, and repeat site visits all carry a cost.
Enter the X Series Plus
Hanwha Vision’s 2nd Generation X Series Plus is interesting in this context because it has been built around operational efficiency, not only improved camera performance. The range combines the Wisenet 9 AI engine with a modular architecture that simplifies installation, maintenance, and upgrades. Existing 1st Generation Wisenet X Series Plus users can upgrade by replacing the camera module and dome cover, rather than removing and replacing the entire unit. That matters because a faster, cleaner upgrade can reduce labour cost and total cost of ownership.
For integrators, this is not a small detail. Anything that shortens installation time, improves technician safety, and limits on-site disruption helps make projects easier to manage. For end users, it means surveillance modernisation need not always become a full infrastructure replacement exercise.
The AI layer is also a game-changer. AI in surveillance is often oversold. What matters is whether analytics can improve detection without weakening video quality, system stability, or operator confidence.
The 2nd Generation X Series Plus uses the Wisenet 9 AI engine with a dedicated Dual NPU, allocating separate resources to image enhancement and AI analytics. This enables video quality and analytics to operate simultaneously, with near-real-time object detection, without compromising system stability.
That is the kind of AI improvement that matters in the field. It is about helping the system identify relevant objects and events more consistently while preserving the footage quality needed for review, evidence, and investigation.
Relevant features for modern surveillance
Storage and bandwidth are another part of the upgrade conversation that cannot be ignored. Higher-quality video and smarter analytics are useful, but they also place pressure on networks and recording infrastructure.
In South Africa, where many sites operate across multiple branches, constrained links, or cost-sensitive infrastructure, the ability to reduce unnecessary bandwidth and storage load can have real operational value.
Hanwha’s Eco Mode uses WisePower ECO and WiseStream technologies to reduce energy consumption and optimise bandwidth and storage. WiseStream applies higher compression to background areas and non-AI objects while preserving image quality for relevant objects such as people and vehicles.
Integrated solution
A modern surveillance camera is a networked device that captures, processes, and transmits sensitive visual data. It should therefore be evaluated not only on optics and analytics, but also on how it protects data and supports the organisation’s wider cyber posture.
Hanwha Vision says the 2nd Generation X Series Plus meets FIPS 140-3 Level 3 requirements, provides a Software Bill of Materials to give visibility into software components, and is supported by the company’s ISO/IEC 42001 certification for its AI management system.
For sectors such as government, financial services, logistics, education, healthcare, and critical infrastructure, these details increasingly matter. Customers want to know how devices are secured, how software risk is managed, and whether AI is being developed and governed responsibly.
The camera upgrade conversation is therefore becoming broader. It is no longer only about replacing a device with a newer one. It is about whether the next generation of technology can help reduce lifecycle cost, simplify installation and maintenance, support useful AI, protect captured data, and avoid unnecessary pressure on storage and bandwidth.
We are seeing this in partner conversations every day. The strongest projects are not necessarily the ones that choose the most advanced device in isolation, but the ones that understand the operating environment, plan for lifecycle cost, and choose technology that makes the system easier to run over time.
