There are ideas and concepts that you come across that you realize immediately were not developed for your particular endeavor, but nonetheless are very appropriate. As physical security is becoming more oriented around industrial IoT, Big Data, machine learning, and other areas of data science there are some useful ideas for physical security professionals to consider. One of these is “data gravity”; the nature of large amounts of data to draw in applications and processes that take advantage of the presence of that data. If you’re running an IP-based physical security system, you may have already noticed that whether it’s a PSIM (physical security information management), Viakoo for automated system verification, or numerous advanced video analytics applications, there are now a lot more applications being drawn towards the data present in IP-based physical security systems.
With the advent of the Internet of Things (IoT), more and more of our devices are connected to the network, making it possible to amass data and analyze it for patterns and trends. In this way big data is becoming more of a resource for virtually every industry including security, where video captured by cameras can now be more easily stored and analyzed by software. However, this new technology has taken hold so quickly that some organizations are now sitting with immense quantities of raw data without the knowledge of how to best use it. Since big data is only going to get bigger, security professionals need to understand the best ways that they can put it to use.