From logistics warehouses to retail stores, industrial facilities to corporate headquarters, companies are increasingly turning to advanced IP video surveillance systems. These systems don’t just record footage — they interpret it in real time, thanks to artificial intelligence.
According to Axis Communications in its latest report “The State of AI in Video Surveillance,” “AI and generative AI — along with cybersecurity, risk and privacy, and analytics — are the most significant trends currently shaping the video surveillance and operations sectors. Specifically, 34% of end customers believe that AI and generative AI are true game changers set to define the future of their business. This percentage nearly doubles among channel experts: 62% of respondents identify them as one of the most relevant trends in the industry, and 66% of top executives at channel partners rank them as the primary trend for the sector.”
These figures clearly show that artificial intelligence, in all its forms, is rapidly becoming a strategic driver for the evolution of video surveillance.
How smart surveillance really works
Traditional video surveillance systems, especially in the business world, are giving way to far more sophisticated and high-performance infrastructures. AI-powered IP cameras can now detect suspicious movements, distinguish between people and objects, identify intrusions in restricted areas, and recognize abnormal behaviors. Some advanced solutions can even trigger alerts, notifications, or automatic responses within integrated security systems.
All of this, however, depends on one critical factor: the constant, high-quality transmission of video streams. That’s why cloud-based video surveillance relies heavily on broadband connectivity.
Video footage must be transmitted in real time to remote analysis systems, stored on cloud servers, or viewed live by security personnel — often across multiple locations. Without sufficient guaranteed upload and download bandwidth and low latency, these processes can slow down, freeze, or produce false positives or negatives.
Regulation: what the law says in 2025
Legislation is striving to keep pace with this technological evolution. The use of surveillance systems in the workplace is currently governed by several regulations, including the GDPR, the Workers’ Statute, and specific rulings by the Privacy Authority.
Since 2023, a moratorium on facial recognition has been extended through December 31, 2025. Until that date, companies cannot install biometric systems that uniquely identify individuals. However, they may use AI tools that analyze behaviors or scenarios — as long as they do not identify the people involved.
It’s important to note that employees must be informed: if surveillance systems may even indirectly monitor work activity, companies must secure authorization via union agreement or, in the absence of union representation, through the Labor Inspectorate. Additionally, a Data Protection Impact Assessment (DPIA) must be carried out, clear signage posted, and strict rules followed for video retention times.
Practical applications: how fiber empowers smart security
Let’s consider some real-world applications of this technology.
In an industrial warehouse, an AI-powered IP surveillance system can detect an after-hours intrusion and instantly send a video clip to security personnel. For this to happen in seconds — not minutes — a symmetrical connection with guaranteed upload speeds, often exceeding 50 Mbps, is essential.
In another example, a logistics company with multiple locations might centralize video feeds in a private cloud. Continuously transmitting dozens of high-resolution streams requires not just fast, but also stable connectivity. Even brief interruptions can compromise recording or prevent alarms from being triggered.
In the retail sector, AI can analyze video streams in real time to detect risks like crowding, suspicious behavior, or unauthorized access to restricted areas. These capabilities demand a network that can handle heavy traffic without latency, ensuring real-time responses.
At a corporate headquarters, smart surveillance can be integrated with access control systems. Cameras can detect forced entry or anomalies in the flow of people entering and exiting, triggering automatic countermeasures. Here too, the speed and reliability of alerts depend on the quality of the fiber network.
Fiber as the foundation of corporate security
Smart video surveillance is no longer just a technological upgrade — it’s a strategic decision that affects security, regulatory compliance, and operational efficiency. And like any strategic decision, it requires a solid foundation.
Without a professional fiber optic connection, equipped with guaranteed symmetrical bandwidth and designed to support continuous video traffic, even the most advanced systems risk falling short of their potential.
Curious to know if your site is ready for smart video surveillance?
Speak with a FibreConnect expert and build a future-proof security infrastructure.
Tags: ai, broadband, cloud, smart video surveillance