The business intelligence gathered through monitoring video surveillance streams in real-time using video analytics software is designed to help identify patterns, attributes, and events of interest. Close human-based monitoring of many video feeds is simply not possible.

Thanks to video analytics, the system is able to alert video operators of key events and automatically trigger specific actions or procedures. Having said that, let’s take a close look at some of the most common types of video analytics.

Automatic License Plate Recognition (ALPR)

Automatic License Plate Recognition (ALPR) leverages optical character recognition (OCR) tech on the captured video to identify and read vehicle license plates. Source videos can come from existing closed-circuit television (CCTV) or video cameras, law enforcement cameras, or high-speed ALPR cameras mounted on roadway infrastructures.

Crowd Detection

In a nutshell, crowd detection is a real-time surveillance tech that allows for the detection of crowd density to evaluate or capacity or occupancy issues within a defined area. Applications of crowd detection include population counting, disaster management, public event management, military management, safety monitoring, and suspicious activity detection.

Facial Recognition

Facial recognition technology has what it takes to identify and match human faces from digital IP video. This data is typically compared against a database of authenticated users by matching unique facial features. Face recognition video analytics can bolster the building and perimeter security and the identification of known defenders. To prevent spoofing, spatial recognition, as well as liveness checks, are typically deployed.

Left and Removed Item Detection

Left and Removed Item Detection is a video analytics tech based on monitoring the appearance and disappearance of static objects within a defined area. The tech is often deployed in public areas like airports or subways to detect potential bombs, although it can also be used to ensure free escape areas remain clear and unobstructed.

Object Tracking

Outdoor Object Tracking is a video analytic for detecting and monitoring the movement of vehicles and people in outdoor environments. Applications of object tracking include traffic control, visual surveillance, forensics, human-object interaction, gesture recognition, and augmented reality. New AI-based object tracking analytics can identify the type of object, such as person or vehicle.

As you can see, there are numerous ways in which video analytics is being applied in an attempt to change our lives for the better. Of course, there is always a solution that you can incorporate into your business.