By monitoring video surveillance object streams in real time, video analytics software is intended to identify patterns, attributes, and events of interest. To generate business intelligence, this data is used. It is simply impossible to conduct an exhaustive human-based monitoring of a multiplicity of video feeds.
The system is capable of autonomously initiating specified actions or procedures and notifying video operators of critical events as a result of video analytics. Consequently, with this in mind, we will examine some of the most frequently employed video analytics.
Optical character recognition (OCR) technology is employed by Automatic License Plate Recognition (ALPR) to identify and read vehicle license plates from the video footage that has been captured. Source videos may be obtained from existing closed-circuit television (CCTV) or video cameras, law enforcement cameras, or high-speed ALPR cameras that are attached to roadway infrastructures.
In summary, crowd detection is a real-time surveillance technology that enables the assessment of population density to ascertain capacity or occupancy issues within a designated area. Population counting, disaster management, public event management, military management, safety monitoring, and the identification of suspicious activity are among the applications of crowd detection.
Digital IP video can be used to identify and match human features using facial recognition technology. Typically, this data is compared to a database of authenticated users by correlated distinctive facial features. By employing face recognition video analytics, it is possible to identify known defenders and improve the security of buildings and perimeters. Spatial recognition and liveness assessments are frequently implemented to reduce deception.
The video analytics technology known as Left and Removed Item Detection is the process of monitoring the appearance and disappearance of inert objects within a predetermined area. Tech is frequently used in public areas, such as subways or airports, to identify potential explosives. However, it can also be implemented to guarantee that unobstructed escape routes are preserved.
For detecting and monitoring the movement of persons and vehicles in outdoor environments, Outdoor Object Tracking is a video analytic. Traffic control, visual surveillance, forensics, human-object interaction, gesture recognition, and augmented reality are among the applications of object tracking. A person or vehicle is among the objects that the new AI-based object tracking analytics can identify.
It is evident that video analytics is being implemented in a multitude of approaches to enhance our quality of life. Certainly, there is always a solution that can be integrated into your business.
