Turn video into insight. Find relevant images across multiple types of video files. These are the two core challenges of large scale video surveillance systems. So, it is time to ignite old fashion passive video surveillance systems and explode your capabilities with powerful new tools for analysis of dynamic video surveillance content on next generation surveillance platforms.
When large scale closed circuit television (CCTV) systems aggregate many hundreds or more likely many thousands of hours of continuous footage of boring, static, content, how do you find exactly what you need from this massive archive of content? It is difficult, maybe impossible. Even after weeks of searching, you may still find nothing of value to your investigation. So, what can you do?
Locating the exact scene from a vast sea of video can be a frustrating and horribly daunting task if all you have are manual controls that demand endless forward, reverse, freeze-frame, searching and back and forth scrubbing of video. It is nearly impossible. Yes, you may have some basic metadata search tools like date and time of day, but if the system has hundreds of cameras, how can you review it all and maintain your sanity?
Luckily, vendors and developers have heard the call and are now providing more advanced search and retrieval tools to help locate and make use of footage.

Intelligent video analytics helps security and public safety organizations develop comprehensive security, intelligence, and investigative capabilities using video. You can use advanced search, redaction, and facial recognition analytics to find relevant images and critical information across multiple video files from multiple camera types. Selected live-streaming cameras, plus pre-recorded video ingestion from both fixed cameras and in-motion cameras are supported. Augment staff and improve camera investment by extracting information from captured video to uncover insights and patterns. These features are all possible with a modern intelligent video analytics platform.

Supported Analytics
- Virtual Tripwire
- Tailgating
- Facial Detection
- Direction of movement
- People Counting
- Loitering
- Vehicle Behavior
- Vehicle Characteristics
- Traffic Management
- Object Left/Taken
- Queue Management
- Dwell Time
- Path Map
- Heat Map
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