Blogs

August 13, 2018

The Migration to Intelligent Video

There continues to be a paradigm shift in end-users’ perceptions of what video surveillance systems can and should do, which has greatly influenced the development of new software and hardware solutions in recent years. Whereas video surveillance was once relegated for real time surveillance and forensic investigations, predictive analysis and prevention are now high on end-users’ list of expectations. This mindset has changed everything.

Overall, surveillance software and hardware suppliers have responded relatively well by developing new and future features and performance parameters based on trending user pain points. Much of this input is being culled from better interaction with end-users in the field, where needs drive technology. New sources of threats, liabilities, compliance mandates, and the general desire to enhance overall protections of people, property and assets are the big influencers behind this shift in approach to product development.

One specific technology sector most impacted by this new mindset is analytics. Much discussion has been circulating about the use of artificial intelligence (AI) and Machine Learning (ML) for advanced surveillance and business intelligence applications.  And although AI and ML have tremendous potential, they aren’t quite ready to implement on a wide scale. Perhaps the main reason is that the foundation for AI and ML is embedded within the need for intelligent and easily deployed analytics.

Analytics such as license plate recognition, facial recognition, speed and movement detection, under vehicle inspection, traffic violations, and situational awareness – all of which are currently available – are increasingly finding their way into more and more installations with the help of experienced systems integrators. However, the required time and effort, and cost of deployment have slowed market penetration. This is because such analytics solutions usually come from various sources, requiring third party integration with Video Management Systems (VMS), and/or access control platforms that can accommodate analytics, but don’t offer them as native solutions.

This is where Intelligent Security Systems (ISS) has been diligently working to differentiate itself by providing more holistic surveillance solutions such as ISS’ SecurOS™ VMS, which uniquely combines native analytics and comprehensive camera control and management functionality seamlessly integrated and bundled to resolve users’ specific needs and applications. ISS’ extensive experience in space technology and areas such as neural networks, pattern recognition and robotic control systems provide the basis for higher levels of integration. The application of these disciplines provides new benchmarks in surveillance intelligence versus legacy video manufacturers.

Having spent the majority of my career with industry leading camera manufacturers, I have clearly witnessed the evolving shift from hardware to software based solutions that will continue to dominate the surveillance landscape moving forward. It’s no longer sufficient to be a VMS or analytics provider – it’s imperative to deliver intelligent integrated surveillance control and analytics solutions that fulfill end-users’ specific needs with emphasis on results versus the technology behind them.

At ISS, we have fully embraced this new reality and are ahead of the curve as a true provider of intelligent surveillance solutions that not only see and document events, but provide the rich data necessary to analyze what may otherwise be perceived as disparate events, and alert management of impending threats. We refer to it as “intelligent video defined”, a new position you’ll be hearing much more about from ISS moving forward.