Traditionally video analysis was defined as technologies based on simple motion detection. License Plate Recognition (LPR or ANPR) and Face Recognition were offered by suppliers of biometric solutions for controlled and cooperative environments.
iOmniscient has brought together all these technologies so that they work together in uncontrolled non-cooperative environments of the type one confronts in a typical city surveillance situation. Further, the needs of customers have moved beyond just video analytics to analytics in general. To accommodate this iOmniscient recently introduced audio and smell analysis (e.g. for detecting gas leaks).
There is also much talk about PSIM systems (Physical Security Information Management) which are essentially systems that bring in information from a number of different types of sensors and then provide the operator with instructions for manual responses. iOmniscient has taken this concept to the next level with a patented ability to provide Automated Responses for given situations. Such systems can reduce the load on Operators who invariably become the bottlenecks during a crisis.
These concepts along with the ability to feed all the Meaningful Meta Data (MMD) generated by iOmniscient’s systems into Big Data engines for further analysis is what Smart Cities is all about. It goes beyond the narrow definitions of various individual technologies and allows all of them to operate together.
A city is a very complex environment and requires information from many different sources to function effectively. It has to coordinate traffic and ensure a safe environment for pedestrians. During special events the authorities have to manage crowds. Cities have railways and metros, sports stadiums, entertainment centers, car parks and airports and all of these have special requirements. But they also need to work together. If a criminal that was detected at the airport later turns up in a football stadium the authorities may need to be made aware of this.