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Normally, if an event occurs, it should be brought to the attention of the operator who can make a decision on whether to archive that particular footage for later review. If there is no operator available, it should be possible to set the system up to automatically archive any event footage. The amount of time that lapses before the system realizes that there is no human around to intervene must be configurable by the user.  

2019-03-23  Read More

Images from a video are invariably a 2 dimensional representation of a 3 dimensional space. Humans can understand perspective because they can see everything around them in 3D with two eyes. Systems have to be sufficiently intelligent to understand perspective, e.g., to know that a large object in the distance looks much smaller than in the foreground of the image and vice versa.  

2019-03-23  Read More

In a complex environment, a camera may be required to perform different functions at different times or indeed to be set up with different configurations at different times. For instance, from 9am till noon, the system may be used for counting but from then on, except on public holidays, it may be required for intrusion detection. The ability to schedule different functions in a robust but sophisticated manner is critical for the effectiveness of a good system.  

2019-03-23  Read More

As the provider of the world's most comprehensive multimedia analytics capability, iOmniscient can help to detect and recognize events with varying levels of intelligence including with its patented technology for crowded and complex scenes.  

2019-03-23  Read More

Video analytics provide a range of essential information about audience responses to your video content. Analytics include reports on total views, but also viewer-by-viewer insights. With video analytics, you can see who watched a video, look at video hotspots, and see how long each viewer spent watching different videos.  

2019-03-23  Read More

What makes iQ-Face different? Operates with low resolution cameras at a distance (requires only 22 pixels between the eyes) Excels in uncontrolled environments with non-cooperative individuals ? Detects multiple faces in a crowd (iQ-FaceD), and simultaneously recognizes them by comparing them with one or more specified databases (iQ-FaceR) ? Recognizes faces from variable facial angles ? Fully integrated with iQ-Series detection products ? Can integrate with other recognition technologies. eg. iQ-Driver Match (optional extra) ? Automates Surveillance with iQ-Hawk (optional extra) &  

2019-03-22  Read More

iOmniscient’s iQ-Face is the world’s first many-to-many Facial Recognition system that can operate in a crowded scene. iQFace is a family of various Face Detection (iQ-FaceD) and Face Recognition (iQ-FaceR) systems offered by iOmniscient. The iQFaceD can detect and record faces in busy environments for manual review. The more comprehensive iQ-FaceR incorporates iQ-FaceD and then automatically recognizes multiple faces which can be matched against a specified database or multiple databases. iQ-Face excels in uncontrolled environments with variable lighting, continuous movement, low resolution  

2019-03-22  Read More

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[  

2019-03-22  Read More

Rather than continuously recording data, a VMS may also implement motion detection to reduce the amount of data to be recorded. In older analog security camera systems, the cameras were "dumb" devices only capable of producing a video signal continuously, and any video signal processing had to be done by the recording VMS. With modern megapixel network cameras, the cameras are much more sophisticated. Motion detection can now be distributed, so that the cameras do motion detection themselves and only send video when motion is detected. Alternately, motion detection can still also occur in t  

2019-03-21  Read More

A VMS can be the software component of a network video recorder and digital video recorder, though in general a VMS tends to be more sophisticated and provide more options and capabilities than a packaged NVR device. Due to improvements in technology, it is necessary to make a distinction between a VMS and the built-in features of modern network based security cameras. Many modern network cameras offer internal capabilities to record and review video directly themselves via a web browser and without the use of a VMS. However a camera's built-in web interface is typically exclusive to the came  

2019-03-21  Read More

FLEXIBLE OPEN ARCHITECTURE - AI-Powered Analytics In A Crowd

FLEXIBLE OPEN ARCHITECTURE

iOmniscient’s systems are designed to work in a way that suits your needs.

Our unique Artificial Intelligence Based Video Analytics Software will works with any camera, Distributed/ Edge or Centralized or Hybrid.

Any system that is implemented in a busy city must survive and operate over a long period of time. It must be adaptable to evolving needs as the technology and the expectations of its citizens change over the years. The system must therefore have a flexible architecture which protects the city’s investment in hardware over the next decade and longer.

The hardware and network architecture for a Smart City can be Centralized, Distributed or a hybrid of the two. Centralized architectures are suited to applications in which all the information needs to be captured and stored for future retrieval. There are applications, however, in which it does not make sense to store all the data as it may impose a heavy load on the network. Examples of these are situations in which megapixel cameras are used. In rare incidents, it makes sense to only store the high resolution images from certain incidents centrally. All other information can be stored in a low resolution format.

In these situations, the analysis can be done on a small computing device placed near or even inside the camera, known as computing at the Edge.

Since a city is a very distributed environment, at least a proportion of the surveillance would best be done on Edge devices. These are essentially little computers that sit inside or near the cameras (at the “edge” of the network). The traditional Edge devices that have been available to date just do not have the power to provide all the computing required. Hence, iOmniscient, in partnership with Intel, has built a Super Edge device which has the power to process the analytics for 4 cameras at a time in a rugged device.

 

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