Six Key Trends in Video Analytics
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Video analytics technologies have become a prevalent security method in every commercial, government, military or critical infrastructure site. The increased integration of video analytics technologies with security solutions, as well as developments in deep learning and artificial intelligence (AI), have given video analytics a significant boost in recent years.
Here are the key trends in video analytics, according to sourcesecurity.com:
- Deep learning and AI will enhance video analytics capabilities by allowing security professionals to gain very specific insights into human behavior. With AI-enabled video systems, video analytics are set to perform more complex applications at a higher level of accuracy.
- Image processing developments allow intelligent analytics – advanced chip technology combined with the neural network approach to computer vision is game-changing for video analytics. The key differentiator for video surveillance systems will be the ability to add computer vision in parallel with image processing and high-resolution encoding – ideally in a chip that is low-power.
- Integration with security systems increases video analytics value
- Video analytics add value with actionable business intelligence – adding network video to the current generation of Internet of Things (IoT) solutions provides actional value beyond situational intelligence for security purposes. With increasingly intelligent sensors, interactions between business systems are becoming more sophisticated, providing a value greater than the sum of the parts.
- Video analytics detect abnormalities to predict incidents – camera-based video analytics can go beyond assessing a current scene to predicting potential risks before they occur.
- The role of audio analytics – video analytics are increasingly supplemented with audio analytics. Processed in a camera, audio analytics can help provide a secondary layer of verification for events, as well as identifying rising levels of aggression, gunshots, screams, or other sounds indicating an incident is taking place. This makes audio analytics ideal for dealing with active shooter events at schools and campuses.
