iQ-Police is a comprehensive suite of Video Analytics applications designed to meet the specific needs of the police industry. The system is modular and each application can be purchased separately. And yet all the applications can interact to provide a fully integrated video based utility service for the many stakeholders in the police industry. Operations Safety Security • Detect and track suspects or criminals accompanied with Face Recognition system • Detect and track suspicious vehicles accompanied with detection of vehicle stopped and License Plate Recognition system • Detect suspicious  

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Why iOmniscient’s iQ-Police? iQ-Police is a comprehensive portfolio of applications that can fulfill the specific requirements of each department, such as security, operations and safety, while operating as a single integrated system to ensure quick distribution of information to all concerned when any event occurs. iQ-Police has an application which can track suspects and criminals even in crowded and complex scenes. The operator can also track the individual over non-overlapping cameras. iQ-Police can be used to enhance surveillance, such as when monitoring a suspicious house. iQ-Police can  

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Every country has police and law enforcement organizations that have very different requirements to traditional security groups. They will often need to track suspects and criminals without the individual being aware that they are being tracked. They may need to monitor a house, which is suspected of being a base for criminal activity, over a period of time to see who comes and goes. To have officers provide surveillance can become extremely expensive. Police officers need to be constantly vigilant of any suspicious activity in order to prevent crimes from occurring.  

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Security • Detect suspicious behaviors including man-down, loitering, running, crowd gathering etc • Perimeter protection and the prevention of unauthorized access for the restricted zones • Prevent thrown objects and abandoned objects both inside and outside the fence lines • Prevent crowd gathering in the exercise yard and other locations • Detect left objects in the visitation or main lobby areas • Prevent unauthorized access and tailgating – for both people and vehicles • Surveillance system health check to prevent camera tempering and sabotage Safety • Smoke and fire detection as convent  

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iQ-Prison is armed with iOmniscient’s unique Nuisance Alarm Minimization System (NAMS) which can cope with the complex and crowded scenes that exist in the real world, thus ensuring reliable results. Coupled with iOmniscient’s patented iQ-Hawk technology, which simultaneously detects events and identifies people and vehicles on the same camera, iQ-Prison can deliver an automated response system which can then be tightly linked into the user’s own processes. Industry Solutions See the Crowd Click Here info@iomniscient.com i mniscient High iQ Analytics Prison BIPS201312 Security •  

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Why iOmniscient’s iQ-Prison? iQ-Prison is a comprehensive portfolio of applications that can fulfill a prison’s multiple requirements, while operating as a single integrated system to ensure quick distribution of information to all concerned when any event occurs. iQ-Prison has a perimeter protection system which acts as a virtual tripwire. This system can differentiate a human from small animals and other movement. iQ-Prison has an application to detect any suspicious behavior. This includes individuals loitering, going in the wrong direction, sudden crowds gathering, and a person falling dow  

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In any prison environment, it is extremely important to ensure that high level security is being maintained all the time. Prisons deal with fairly large groups of people that need to be properly managed for efficient operations and safety. Prisons have to ensure that their perimeters are protected. Restricted areas need to be constantly guarded to prevent any unauthorized access and escapes. Fights and attacks are a common occurrence for prisons and often go unnoticed until it’s too late. Therefore, it is imperative that the prison guards are aware of an event as soon as possible to be able to  

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When a VIP customer enters the hotel, the system identi?es the person and brings this to the attention of the receptionist. The system might provide a short list of matches for the receptionist to make the ?nal selection. The customer’s pro?le can then be shown automatically on the screen. When the guest arrives at the desk, the receptionist is able to greet the person by name pleasantly surprising the customer who may not have visited the hotel for a year or more. The system does not have to be 100% correct. The receptionist can make the ?nal judgement as to whether the person is indeed the c  

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The mall then implemented iOmniscient’s “many-to-many” facial recognition system. The system watched people as they entered the mall and captured their image if they matched a person on the database. Matched images were sent to the o?cer in the ?eld on his wireless device. The o?cer could review the images and make a judgment on whether the match was a good one and whether the person in view was actually one of the persons in the database. Humans are good at making such judgments against a small number of images even though they are not good at comparing thousands of people against hundreds of  

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The most important focus of city surveillance systems is on the people themselves. The objective is to keep people safe and prevent accidents or criminal activities. Not all activities are easy to detect. For example, it is very di?cult to detect if two people are ?ghting as this can take many di?erent forms. However many associated behaviours can be detected. For instance, if a person falls down as a result of a ?ght, this can be detected. If a person begins to run suddenly ? this too can be detected. If crowds gather suddenly this could be a symptom of some unusual activity as well. Having  

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