The Future of Video Analytics for Surveillance

In a world where video surveillance use is becoming increasingly important for commercial and residential properties and even in urban areas, video analytics is set to drive the future. End users today are struggling with the challenges of an increasing number of cameras with higher resolution that produce huge amounts of data and ther development of intelligent storage is set to enable next-generation surveillance.

As we look around all the major cities in the world, we see an increasing number of video surveillance systems in our public transport systems, in traffic control and now even to make our city streets more secure in the midst of an influx of crime. With this increase, management from an end-user perspective faces certain challenges but, video analytics proves effective in helping the management process.

Video analytics assists end users by enhancing video surveillance in two ways:

Video Alarm Triggers 

With video alarm triggers, the analytics is applied realtime and triggers an alarm when an incident is detected. The alarm is triggered when certain incidents take place such as camera tampering, tailgating, counting, dwell and abandoned objects, among various others. These applications are generally applied directly onto the IP camera board by manufacturers and is a simple algorithm, put in place to reduce human resources and assist the end user in monitoring.

Assisted Video Search

These are specific filters are an efficient way to detect certain types of situations, and are also used to filer out sequences of events in large video archives. This makes it possible to search through video storage across various factors, making it easier to find certain events that may be of interest, whether you are dealing with employee theft or burglary or any other scenario.

We can assume that with the advances in R&D that these technologies will advance to become more intelligent and even more automated in managing scenarios to make security more effective and making it simpler for the end user to manage their surveillance systems more effectively.