iQ-Smart City’s  video analytics involve behavior analysis, face recognition in crowded scenes and multilingual license plate recognition
The technologies involved in iQ-Smart City are based on Advanced Video Analytics

Most cities build their systems based on technologies that were available in the past, unaware that Artificial Intelligence based technologies have been evolving rapidly.

A Smart City is one where the information derived from a multitude of different types of sensors from different parts of the City are pulled together to ensure that authorities can ensure the security, safety and enjoyment of its citizens.

Only those persons authorized to get specific data have access to that particular bit of information to protect the privacy of citizens and to ensure that sensitive information does not fall into the wrong hands.

iQ-Smart City is a comprehensive portfolio of capabilities for managing people and traffic in a modern city. By being smart the system focuses on making the city SAFE. This iOmniscient system can provide capabilities that have not been visualized by most city planners. The technologies involved are based predominantly on Advanced Video Analytics though we also provide analytics based on sound (e.g. detecting gunshots, breaking glass, fights, etc) and smell (e.g. to detect gas leaks or spray painted graffiti).

The video analytics that are used go beyond simple motion detection. They involve Behavior Analysis, Face Recognition in crowded scenes and multilingual License Plate Recognition done simultaneously. And it involves the concept of a sophisticated Rapid Automated Response. Incorporating Big Data concepts, the system is able to process large quantities of forensic information to enable the user to predict events and to manage a large city with limited resources.

Most importantly, several of iOmniscient’s systems are designed to save money. A system using iOmniscient’s patented iQ-Hawk will in fact cost much less than a standard surveillance system, resulting from a huge decrease in storage and network bandwidth requirements. The overall system can be several times less expensive than systems designed using traditional technologies while providing huge leaps in productivity and effectiveness.

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