In recent years, there’s been a growing academic and industrial interest in video analytics. Significant advances to deep learning technology have enabled the automation of video analytics tasks that used to be exclusively carried out by humans.
Video analytics is an application of machine learning that involves automatically identifying spatial and temporal events in video content. A video analytics solution can recognize activity like sudden breakouts of fires, suspicious human movements and noncompliance with traffic signals.
Video analytics systems are typically used to monitor surveilled environments in real time, identifying objects and objects attributes, trajectories and behavioral patterns. Forensic use of video analytics can derive insights from historical data.
Use Cases for Large Scale Video Analytics
The following are common, real life use cases for video analytics.
Security and Surveillance
Organizations use surveillance in order to monitor activities and behavior. The goal is to gain insight into how corporate assets are used and understand the typical behavior of people or other entities. This helps establish a baseline of normal behavior, and detect abnormalities that may indicate malicious behavior or unauthorized access and use.
Once there is a baseline for normal behavior, there are several types of technologies that can help monitor and protect assets, including access control and intrusion detection. Crowd monitoring uses deep learning methods to count and identify people in a large gathering. For access control, organizations usually use face detection technology with CCTV video streams. Face detection technologies apply analysis to detect intruders and distinguish between them and authorized personnel.
Transport Monitoring
Video analytics can help improve the efficiency and accuracy of public transport monitoring systems, such as those implemented for trains, taxis, and buses. The insights from video analytics systems can provide cities and citizens with information about many aspects of traffic, including road conditions, traffic congestion, routes, and peak hours, for example.
Municipalities can leverage video analytics to monitor traffic flow and speed. For example, by using point detection and other tracking techniques, analysis of CCTV streams can help detect incidents, providing information about bad road conditions and vehicle breakdown. It is also possible to implement pedestrian monitoring systems and learn about motion and pedestrian density, to ensure the safety of pedestrians.
Healthcare
The healthcare industry can greatly benefit from video analysis technology. There are several technologies you can employ for this purpose, including:
Health status monitoring—for example, you can capture a video stream from a camera aimed at an infant. You can analyze this stream using video magnification as well as an optical flow algorithm and then detect the respiratory rate of the infant.
Telemedicine—enables physicians to use video analytics when conducting virtual appointments with patients via computers, tablets or mobile devices.
Surgical video analysis—employs computer vision and cameras to understand activities during surgeries. This process cross-references a library of surgical guides while attempting to predict the next steps in the operation. This provides surgical teams with real-time analysis through audio as well as visual cues, which they can control.
User Generated Content
Organizations are learning to use video content generated by their end users for marketing purposes. By leveraging user generated content (UGC) on social networks, organizations can create viral awareness of products and services and build a memorable brand image. Leveraging video-based UGC raises a few challenges, which can be solved by video analytics technology:
Moderating large quantities of video content to detect and block harmful or unsuitable content
Automatically converting and optimizing videos to make them suitable for web delivery
Adjusting videos to a size and format suitable for delivery and consistent with the brand image
AI-powered video analytics APIs are available which automate all the above, enabling organizations to create a stream of UGC video content which is automatically moderated, treated, and shared in a consistent manner on social networks.
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