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As a pioneer in Video Analytics with almost 2 decades of commercial experience (since 2001) iOmniscient is the longest standing independent Analytics company in the world. The company has recently extended its already comprehensive Analytics capability to provide an Artificial Intelligence based Multi-Sensory Analytics Platform that includes sound and smell as well as video to better replicate human reasoning. These technologies are proven and iOmniscientís systems have been implemented by commercial and government users in 50+ countries around the world. With 40+ International Patents, iOmnis  

2019-02-22  Read More

iOmniscientís patented Artificial Intelligence Platform consists of a set of modular, technology building blocks that can be combined in unlimited ways to provide unique multi-sensory solutions for your companyís operations. The technology is a unique hybrid of Heuristic, Neural Network and Deep Learning algorithms to achieve fast and accurate results with minimal computing infrastructure. Our systems will transform your organizationís operational efficiency, enhance individual productivity and provide immediate tangible returns on your investment. We have deployed our solutions in 50 countrie  

2019-02-22  Read More

iOmniscient - Face Recognition Software in Crowded and Complex environments Facial Recognition System for crowded and complex environments. Facial Recognition System at lowest resolution Artificial Intelligence Based Video Analytics Software AI based Video Analysis Image Processing Software Intelligent Systems performing Behaviour Analytics Content Analysis Intelligent Systems performing Counting in crowds ITS Intelligent Transport Systems for crowded environments Video Analytics for Smart Cities Artificial Intelligence Based Video Analytics Software for Smart Cities License Plate Recognition  

2019-02-22  Read More

As a pioneer in Video Analytics with almost 2 decades of commercial experience (since 2001) iOmniscient is the longest standing independent Analytics company in the world. The company has recently extended its already comprehensive Analytics capability to provide an Artificial Intelligence based Multi-Sensory Analytics Platform that includes sound and smell as well as video to better replicate human reasoning. These technologies are proven and iOmniscientís systems have been implemented by commercial and government users in 50+ countries around the world. With 40+ International Patents, iOmnis  

2019-02-21  Read More

iOmniscient - Face Recognition Software in Crowded and Complex environments Facial Recognition System for crowded and complex environments. Facial Recognition System at lowest resolution Artificial Intelligence Based Video Analytics Software AI based Video Analysis Image Processing Software Intelligent Systems performing Behaviour Analytics Content Analysis Intelligent Systems performing Counting in crowds ITS Intelligent Transport Systems for crowded environments Video Analytics for Smart Cities Artificial Intelligence Based Video Analytics Software for Smart Cities License Plate Recogni  

2019-02-21  Read More

A large proportion of traffic accidents occur at traffic lights. One driver at speed will attempt to go through a red light and there is a probability that a driver on a cross road could crash into him inadvertently. Red light violation cameras have been shown to slow down traffic and cause drivers to be much more cautious as they drive across road junctions. Such cameras can also establish who was at fault in the accident. iOmniscient's IQ-RLVD (Red Light Violation Detection) is an automated intelligent Red Light Violation Detection system. The system can first recognize whether the traffic l  

2019-02-21  Read More

iOmniscientís patented Artificial Intelligence Platform consists of a set of modular, technology building blocks that can be combined in unlimited ways to provide unique multi-sensory solutions for your companyís operations. The technology is a unique hybrid of Heuristic, Neural Network and Deep Learning algorithms to achieve fast and accurate results with minimal computing infrastructure. Our systems will transform your organizationís operational efficiency, enhance individual productivity and provide immediate tangible returns on your investment. We have deployed our solutions in 50 countrie  

2019-02-21  Read More

iOmniscientís patented Artificial Intelligence Platform consists of a set of modular, technology building blocks that can be combined in unlimited ways to provide unique multi-sensory solutions for your companyís operations. The technology is a unique hybrid of Heuristic, Neural Network and Deep Learning algorithms to achieve fast and accurate results with minimal computing infrastructure. Our systems will transform your organizationís operational efficiency, enhance individual productivity and provide immediate tangible returns on your investment. We have deployed our solutions in 50 countrie  

2019-02-20  Read More

A large proportion of traffic accidents occur at traffic lights. One driver at speed will attempt to go through a red light and there is a probability that a driver on a cross road could crash into him inadvertently. Red light violation cameras have been shown to slow down traffic and cause drivers to be much more cautious as they drive across road junctions. Such cameras can also establish who was at fault in the accident. iOmniscient's IQ-RLVD (Red Light Violation Detection) is an automated intelligent Red Light Violation Detection system. The system can first recognize whether the  

2019-02-20  Read More

As a pioneer in Video Analytics with almost 2 decades of commercial experience (since 2001) iOmniscient is the longest standing independent Analytics company in the world. The company has recently extended its already comprehensive Analytics capability to provide an Artificial Intelligence based Multi-Sensory Analytics Platform that includes sound and smell as well as video to better replicate human reasoning. These technologies are proven and iOmniscientís systems have been implemented by commercial and government users in 50+ countries around the world. With 40+ International Patents, iOmnis  

2019-02-20  Read More

Four Ways AI Can Make Cities Safer - AI-Powered Analytics In A Crowd

Four Ways AI Can Make Cities Safer

Only a city that has the ability to deal with complex behaviours in crowds, while ensuring privacy and optimising safety, security, & operational efficiency can have the tag of being a smart city. In-order to carry out any major initiative, a city must first ensure the safety and security of its citizens.

Today, in the age of digital transformation, artificial intelligence walks hand in hand with safety and security. Artificial intelligence has numerous applications in the development of a smart city, and AI for safety & security is one of the key tools used to proactively act against criminals and known terrorist. There are innumerable areas where AI can be implemented to develop safer and happier cities. So, let’s have a look at how AI is being actively integrated with safety policies and crime prevention.

 

Safety as a priority

Citizen safety is one of the primary KPIs that gives a city the tag of being a smart city. A person can live their best life when they know they safe and secure. In an era of digital transformation, AI is the primary tool creating a safety shield for cities. Today, advanced video analytics, on the backbone of Artificial Intelligence has the capabilities to detect fights, slip & falls, unidentified abandoned objects, recognise known suspects and terrorist, along innumerable more applications in crowded and complex scenes. AI is the 21st century safety net that drives cities into improving their exiting infrastructure and services by harnessing the powers of intelligent technology and data analytics.

An integrated network of intelligent systems that captures public safety information and responds to real-time events effectively can make a city a safe one. These systems that use AI can predict and prevent any kind of suspicious or malicious activities happening or going to happen in the city limits. Thus, making automated response systems an integral factor in smart cities.

WATCH: How Automated Response Systems Work in Complex Scenes

  

1. Crime Detection

Sophisticated multi-sensory AI based analytics can help understand behaviour and situations to detect criminal activities. For instance, using convergent AI technology iOmniscient systems can detect gun violence. It then sends alerts to the smart phone of the nearest appropriate first responder regarding the gunshot fired with a video of what’s happened & allows the officer to jump-to-event.

In a normal situation, it would be difficult for the police to find out the exact location of gunshot immediately and evaluate the gravity of the situation.This is where iOmniscient’s advanced video analytic surveillance technology helps comes into play. The system sends a video on the police’s smart phone along with the GPS location of the event, and simultaneously enrols the faces of the persons present in the scene into its system. This enables the officers to be proactive, & also facilitates forensic investigations. According to a shotspotter report, 80% of gun violence is never reported or accurately identified. This solution helps resolve this critical problem.

2. Crime Prevention

One of the earliest form of AI for safety was introduced in 1995 by the NYPD, called CompStat. This was the first ever predictive policing tool that had been used. Since 2001, iOmniscient, a global AI based advanced video analytics software provider has been developing tools that help prevent crimes. These proactive tools are being deployed by government agencies around the world to arrest known suspects and terrorist before they can commit the crime. The system is built on the foundation of hybrid AI, by combining Heuristic + Neural Network/ Deep Learning + Active/ Guided Learning algorithms resulting in fast & accurate results with minimal computing infrastructure.

Advanced Techonology - Immediate Response with √ʬĬúJump to Event√Ę¬Ä¬Ě * IQ-Smart City

Let’s imagine a real life situation. There a group of terror suspects known to governments around the world. Despite having the best cameras in the world, these terrorists walk freely into an airport, one leaves a bag, and two others blow themselves up, resulting in loss of life, property, and trust on government law enforcers. This situation is exactly what happened in a recent terror attack in Europe. However, if the department had a comprehensive AI system in place which works in crowded scenes, there is a significant possibility of the attack being prevented. iOmniscient’s AI systems can detect & recognise people of interest in crowded, uncontrolled environments. It would then send a message to the nearest first responder who would then be able to take appropriate action. The system can also detected abandoned and obscured objects in crowds and in situations where its almost impossible to see the object with the naked eye. AI based real time automated response is key to plenty of today’s problems.

WATCH: How iOmniscient Can See Through Crowds

3. Finding Lost Children

Helping to find lost and stolen children is now a major societal challenge. iOmniscient’s face recognition in a crowd system is an important tool in the arsenal of Police Agencies confronted with this problem.

WATCH: How Automated Response Systems Can Help Find Lost Children

 

4. Privacy Protection

A primary concern with smart business analytics and video surveillance is the privacy of citizens. With the Facebook data scandal making the rounds, the fears of citizens’ right to privacy is ever growing. iOmniscient understands this and therefore, it’s video analytics system is designed in a manner than protects privacy of individuals by redacting faces, and only allowing access to them with a special key that can be used by authorized personals in emergency situations.

WATCH: How iOmniscient’s Intelligent Analytics Protects Privacy

Every smart city requires to augment the use of AI in safety and security of its people and places. But it should happen coupled with stringent safety regulations against future precariousness of artificial intelligence.

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