Boost Your Security System Without Breaking the Bank

Developments within the world of safety and security are rapid. Upgrading existing camera installations is crucial for (government) organisations if they want to benefit from the latest technologies. Previously, this involved high investments in (new) hardware, which is often considered financially unfeasible. Fortunately, new AI technology offers a solution: meet Video AI Analytics.

What is Video AI Analytics?

Video AI Analytics uses algorithms to automatically recognise events in video footage. The technology distinguishes objects and detects activities that trigger a notification or response, such as someone climbing over a fence. The goal is to immediately alert security personnel or users to unwanted or suspicious situations. By analysing images, Video AI Analytics provides valuable data that not only addresses security risks, but also offers insights for improving business processes, customer interaction and operational efficiency.

Doing more with existing cameras

The big advantage of Video AI Analytics is that it can be deployed in conjunction with almost any IP camera. Think of it as a smart layer over your existing camera systems. Often, security cameras are only used to capture images, but with Video AI Analytics, the value of these cameras can be significantly increased. AI allows the camera to analyse data, detect behaviours and automatically generate alerts in case of suspicious activity.

This not only means more efficient use of existing infrastructure, but also, as mentioned, allows companies to optimise their operations. Instead of manually searching through hours of footage, AI can quickly filter relevant cases, allowing (security) personnel to quickly obtain the footage they want. This can be done through a process called AI metatagging. Want to know more about it? Then read this article.

Flexible deployment of existing cameras

Video AI Analytics is broad in scope, as it is not limited to one specific application or industry. Instead, it offers versatile solutions that can be deployed in different industries and for various purposes. This allows for flexible deployment of existing camera systems.

Video AI Analytics can be used in a variety of industries, such as:

• Security: it is used to detect suspicious behaviour, prevent intrusions and provide real-time alerts.
• Healthcare: for monitoring patients, detecting falls, or improving safety at hospital sites.
• Retail: for analysing customer behaviour, preventing shoplifting and improving the shopping experience.
• Logistics and transport: for optimising traffic flows at airports, ports, and railway stations, for securing these areas and monitoring safety and operational efficiency.
• Cities and public spaces: for monitoring busy areas such as squares or busy shopping streets, where incidents can quickly escalate.

This broad applicability allows Video AI Analytics to be adapted to the specific needs of different markets, making it a highly flexible and widely deployable technology.

Scalable and future-proof

Video AI Analytics future-proofs camera systems by upgrading existing infrastructures with flexible, scalable AI technology that adapts to new innovations and growing needs. It can be easily integrated with new technologies and expanded with additional cameras without complete replacements, keeping it suitable for both small and large organisations. Real-time adaptation, data analytics and continuous updates keep systems effective, secure and valuable, while extending the life of existing hardware and saving costs.

Find out what Video AI Analytics can do for your camera system

After reading this article, curious about how Video AI Analytics can upgrade your camera systems and make them future-ready, without high investment in hardware? Contact one of our specialists, they will be happy to talk to you.