Most cities build their systems based on technologies that were available in the past being unaware that technologies based on Artificial Intelligence have been evolving rapidly. Previously, they had been extensively deployed for Road and Traffic Management, airports, railways, shopping malls, museums and other industries, such as banking and Oil and Gas. All these capabilities now come together in the concept of the Smart City.
In a Smart City, 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.
Installing thousands of cameras is not the answer. Studies have shown that an operator watching just two cameras misses half the action after around 10 minutes and detects almost nothing after 20 minutes. Setting up huge and expensive command and control centers cannot ensure on their own that critical incidents are detected. To ensure real time response, one requires an Intelligent Video Analysis system that informs the operator about the occurrence of an event, e.g., someone has fallen down on Camera 25, someone else has illegally parked a car on Camera 200, a known criminal has just entered the shopping mall and so on. Only the 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 wrong hands. The objective of this document is to put forward a vision of what can be implemented in a modern city using well proven existing technologies.
An iOmniscient system can provide capabilities that have not been visualized by most city planners. iQ-Smart City is a comprehensive portfolio of capabilities to manage people and traffic in a modern city. By being smart, the system focuses on making the city SAFE.
The technologies described exist today and have all been implemented (though not necessarily in a Smart City environment). They are based predominantly on Advanced Video Analytics, although 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 described here go beyond simple motion-based video analysis. It involves behavior analysis, counting in crowds, abandoned object detection in crowded scenes, Face Recognition in crowded scenes and multilingual License Plate Recognition performed simultaneously on the same camera. Also, it contains the concept of a sophisticated Automated Response.
Incorporating Big Data concepts, the system is able to process large quantities of surveillance information to enable the user to manage and to respond to a wide range of events in a large city very efficiently. It forecasts future requirements enabling more effective planning.
Most importantly, several of iOmniscient's systems are designed to save money. A system using iOmniscient's patented iQ-Hawk, in fact, costs less than a standard surveillance system, resulting from a large decrease in storage and network bandwidth requirements. The overall system can be several times less expensive than systems designed using traditional technologies.
You may not require all these applications immediately. However, knowing that you can upgrade to any of them with a simple license change will ensure your system is not obsolete even before it is implemented.