Complexity Engineering

Real-time Complexity Analysis of Live Images

OntoView™ is a real-time monitoring system which processes live video images. The program analyzes the complexity of the captured live image content and alerts of traffic problems in real time. The revolutionary aspect of OntoView™ is that it doesn’t analyze images based on conventional image-processing techniques. Instead, it emulates the way the brain perceives images, by measuring image complexity and deducing from it the intensity of the phenomenon under observation.

Ways to Use:

  • A natural application of OntoView™ is city or motorway traffic, whereby the instantaneous traffic intensity and “stability” are deduced from complexity and plotted in real-time. Viewers can use OntoView to detect traffic complexity fluctuation in the monitored area, take snapshots and record the maximal or minimal complexity in history.
  • OntoView™ offers a new way to monitor crowds. The understanding of crowd behavior and dynamics is safety-critical in many circumstances, such as sports events or manifestations. Even though crowds are made up of single individuals, the behavior of a crowd is not simply the sum of the individuals. Collective behavior in a crowd may in fact emerge suddenly and without any apparent early-warning. However, since crowd complexity may be linked to the collective “level of anger” or “energy” in the crowd, monitoring of crowd complexity with OntoView can provide critical pre-alarms.
  • OntoView™ can process infrared images signaling, for example, the presence of intruders or objects which enter a given perimeter. The entrance of an intruder into a scene disrupts its complexity.

OntoView™ is easy to install and operate. It can handle web-cams or IP cameras and allows users to define and choose from multiple sources. OntoView™ captures images up to 30 frames per second from USB cameras. And the following releases will support any other video device including Analog cameras connected to capture card, TV-boards, camcorders with FireWire (IEEE 1394) interface and from Network cameras.

The OntoView™ GUI is illustrated below


Supporting Multiple Cameras and Groups

  • multiple USB Cameras and groups
  • description, video quality, and video resolution
  • USB Cameras

Video Viewing

  • Supports 1 camera viewing
  • Viewing captured images in realtime
  • Shrinking or growing captured image for desired image size in per-cents of original image.
  • Drawing meshes on captured image in user specified color, dashstyles.

Complexity Monitoring

  • Viewing complexity history of the monitored area in real time
  • Historic playbacks of complexity by time or events
  • Adjustable time range  frame rate over the LAN/Internet to match the real frame transmit speed, and to keep the video synchronized with the actual time

Complexity Alarm

  • Complexity fluctuation detection function for each camera
  • Event triggering such as alerts or alarms when user-specified thresholds of complexity are crossed
  • Snapshots taken in playback mode to get BMP images for printing or saving as evidence
  • Adjustable alert and alarm thresholds

Example of infrared live images analyzed by OntoView™.

Contact us for information at

Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

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