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Non-Motion Detection Print Email

Non-Motion Detection

Non Motion Detection represents the next generation of intelligent surveillance. iOmniscient is the only provider of Non-Motion Detection in the world and our Genius Range is protected by worldwide patents. 

Ignores Motion

Non Motion Detection ignores motion which is precisely what all other intelligent video systems are focussed on. Counter-intuitively the technology focuses on static or stationary objects. The system learns the background of a scene in a few minutes and any object placed in that scene or removed from it can activate an alarm in a timely fashion. The system is continuously learning and updating the background even while it ignores motion. 

Advantages

In a busy scene, where many people are moving about, Non Motion Detection provides results which traditional video motion detection is incapable of. Traditional VMD has proven very problematic in lively outdoor settings as is typical in Train Stations, Airports and public venues. Non Motion Detection provides a solution for these complex environments and has revolutionized intelligent video surveillance.
Handling Obscuration 
The Non Motion Detection (NMD) algorithms used by IQ 140 and IQ 180 have the ability to handle obscuration - that is to find an object when people are walking in front of it.
The system can cope with hundreds of people moving around (e.g. in a busy lobby area). An object would be found even if it is invisible for 50% of the time.
Not all parts of the object have to be visible. It is sufficient for the detection algorithm if different parts of the object are visible at different times, each for 50% of the period over which the detection is performed.

Obscuration Scenarios
    • Scenario 1

A person enters the scene carrying an object that is not visible to the camera (only the person is visible to the camera). He leaves the object in one location. Right through this period, the object is not visible to the camera - it only becomes visible after he has placed it and walked away. The system would be able to detect that this object has been left behind in the room.

    • Scenario 2

Scenario 1 above but with many people walking in the scene. Once the person moves away from the scene, the object may be occasionally obscured by people walking in front of it. The system would still be able to identify that an object has been left behind within the given detection time.

    • Scenario 3

Scenario 1 above but with the person carrying multiple objects which are not visible to the camera. He leaves the objects in various locations. The system would be able to detect these multiple stationary objects even when people are walking in front of them and totally obscuring them for periods of time.

    • Scenario 4

A person leaves several objects in the room one after the other. Alarms on a particular screen can be archived or cleared all at once or individually.