
Vodafone leads the way with uncapped data plan for alert-based CCTV over mobile connectivity
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April 22, 2025 — Insight
Video analytics use artificial intelligence to transform ordinary CCTV and other video surveillance streams into actionable insights. These insights, delivered by advanced video analytics tools, are changing the way we interact with and interpret security monitoring and intelligence systems.
By integrating intelligent video analytics into security monitoring and intelligence systems, businesses and municipal bodies can detect anomalies, track movements and identify potential threats in real time. For applications like law enforcement, city management and retail — where the need for security intelligence or operational business intelligence has never been greater — this shift from traditional surveillance to proactive, data-driven security is critical.
What are video analytics? To answer this question, we must first understand the operational mechanics of video analytics.
So, how video analytics works is a blend of several sophisticated processes. Cameras capture live video feeds that are then analysed through advanced algorithms. These algorithms examine patterns, motions and even contextual changes in the video, enabling the system to identify events that could be categorised as normal or suspicious. This data is typically processed on centralised servers.
There are multiple types of video analytics that cater to various operational needs. Some systems are designed for basic motion detection and event recording, while others use deep learning techniques to differentiate between various objects and events. These range from facial recognition algorithms to licence plate reading technologies, providing various tools to serve sectors like law enforcement, cities and municipalities, and retail.
One of the most significant developments in this area is the arrival of edge video analytics.
Unlike traditional video analytics that rely heavily on centralised servers, edge video analytics involves processing data locally, closer to the data source.
Processing video analytics on centralised servers comes with significant challenges, such as increased latency, bandwidth strain and higher infrastructure costs, along with scalability issues and a single point of failure that can jeopardise system reliability.
In comparison, edge video analytics shorten the time required for data analysis, enabling real-time video analytics. This approach also reduces demand on central networks, ensuring uninterrupted surveillance even when network connectivity is weak.
Edge video analytics support real-time video analytics and the processing of high volumes of data with minimal latency, meaning security monitoring and intelligence systems can deliver immediate alerts on unusual activities. These benefits make edge video analytics an unbeatable asset for video analytics software solutions that drive decision-making in mission-critical environments.
By minimising latency, such systems provide rapid response capabilities — crucial in environments such as busy retail spaces or urban public areas.
For example, modern video analytics software can capture and analyse live data streams directly at the scene, providing instant support to field officers. Equally, edge video analytics help municipal bodies gain insights into traffic patterns and pedestrian behaviours — paving the way for safer, more efficient city management. Similarly, in retail, the application of video surveillance analytics software translates into tangible benefits by tracking customer movement and behaviour, ultimately aiding in operational business intelligence and store layout optimisation.
With intelligent video analytics, organisations can predict patterns and generate insights that were previously impossible to glean from traditional CCTV setups. These systems are now capable of offering comprehensive video analytics software solutions for enhanced situational awareness.
Digital Barriers’ flagship product, EdgeVis, is an excellent example of the promise and potential of advanced video analytics. EdgeVis integrates seamlessly with your existing security and surveillance frameworks, using edge video analytics to significantly enhance the speed and accuracy of data processing at the local level.
One of the most notable benefits of EdgeVis is its ability to fuse security monitoring and intelligence systems with operational data, resulting in enhanced security intelligence and a more streamlined approach to operational business intelligence. Whether you’re involved in law enforcement, city management or retail, leveraging these surveillance analytics reduces response times, lowers operational costs and improves overall safety protocols.
Effectively, EdgeVis makes your security infrastructure proactive rather than reactive. That’s why it’s the best video analytics software.
Ready to transform your security infrastructure? Contact hello@digitalbarriers.com today for a demo and experience the advantages of EdgeVis firsthand.