
Thanks to artificial intelligence (AI) and significant advances in machine learning, video analytics for video surveillance applications have improved dramatically in recent years. These recent improvements in both video surveillance hardware and video surveillance software have been game-changing for a variety of intrusion and access control applications, including counting people at events, automatic license plate recognition, intrusion detection and much more. We’ll cover six of the top video analytics for video surveillance systems available today.
1. People counting
People counting video analytics offer a variety of benefits to the user, depending on the application. The technology is typically used by retail stores for customer analytics purposes, queue management, building management and to address security challenges related to the movement of people. This type of analytic can help organizations with crowd management, providing an estimated crowd count in real time and trigger an alert when a threshold is reached or surpassed. Other uses can include:
- Counting the number of people passing by a specified area daily
- Determining the normal flow of people according to the day of the week and time of day
2. Vehicle direction detection and counting
Vehicle direction detection and counting analytics have several relevant applications that provide high value to a user. Highly useful applications include metered parking lots, parking garages and major thoroughfares or highways. Users can detect if a car is entering a gated parking lot in the wrong direction or count how many cars come in and out of a parking garage. Cameras with this video analytic can also detect if a car is driving the wrong way on a highway or measure traffic congestion in real time at any point during the day.