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TAKING HIGH RESOLUTION VIDEO TO THE CLOUD SMART COMPRESSION COMPRESSION BY A FURTHER 90% ON TOP OF ALL OTHER COMPRESSION METHODS WITHOUT LOSS OF IMPORTANT DETAIL FROM IOMNISCIENT  

2019-06-14  Read More

Overview: New Cameras have increasingly high resolution. Today it is impractical to transmit video from a large number of high resolution video streams to the Cloud with the internet bandwidth that is available today even in most advanced countries. You then have a choice. You can transmit and record your video in the resolution of the camera – which requires an enormous amount of bandwidth and storage (and of course one needs fibre or other ultra high bandwidth network) Or You can transmit and record at a lower resolution which means that you have lost the detail that their cameras can pr  

2019-06-14  Read More

The new patented Smart Compression from iOmniscient solves this dilemma for you. It records every face, license number and significant event that is seen in the camera in high resolution while the rest of the video is recorded at low resolution. In every single frame of the video you never miss anything that is important. Equally you dont waste bandwidth and storage on anything that is unimportant. To enable Cloud Computing with high resolution cameras one needs enormous bandwidth to stream the video. With iOmniscient’s Smart Compression you can stream very low resolution video even while so  

2019-06-14  Read More

The Issues: Consider a user who installs a 2 mega-pixel camera. He can record the video at 2 mexa-pixels or he could reduce the image size and record at 1xCIF (equivalent to 0.1 megapixel). If he records at 2 megapixels (mp), it takes an enormous amount of storage and requires significant bandwidth for transmission. However, much of this resource is wasted as the network will be transmitting and the recording system will be recording a lot of useless information continuously because he does not wish to miss the small amount of important information that may be there. If he records at 1xCIF  

2019-06-14  Read More

iQ-Retail is a comprehensive suite of Video Analytics applications designed to meet the specific needs for retail. 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 requirements of the retail industry.  

2019-06-13  Read More

iQ-Security: • Abandoned objects in a crowd • Detect theft in a crowd • Trespassing – wrong way or unauthorized entry • Graffiti and vandalism detection • Suspicious behavior - loitering, sudden crowd gathering, man-down • Use of iQ-Hawk and many-to-many Face Recognition system to automate the law enforcement process for finding suspects or criminals • Detect and track suspects or criminals accompanied with many-to-many Face Recognition system • System health check for camera malfunction or sabotage  

2019-06-13  Read More

iQ-Retail Operations: • People Counting and crowd management to understand building capacity • People Counting to understand traffic flow in certain areas or at particular times of the day/week/month/ year to better plan resources and marketing strategies. • Determine rents for shops based on traffic flow • Queue management and calculation of average waiting time – for managing customer satisfaction and service in areas with long queues of people • Detect and automate the process for understanding the number of taxis at the stand (to call for more taxis if the queue has increase) • License Pla  

2019-06-13  Read More

iQ-Retail Safety - Detect running/skateboarding/slip and fall • Detect water spills to reduce public liability • Overcrowding and congestion detection – adhere to safety regulations • Smoke and fire detection. Conventional smoke detection cannot be effective in areas with high ceilings  

2019-06-13  Read More

The retail industry operates in a crowded environment with many separate events occurring simultaneously. The top priority for the retail industry is to increase sales. To achieve this, retailers need to have a good understanding of the flow of people through the shopping center to enhance customer service and use as a tool for marketing. Shopping Centers are constantly busy with people, therefore they are susceptible to terrorist attacks. For this reason, it is important to be able to find any abandoned objects which could potentially be dangerous, such as a bomb.  

2019-06-13  Read More

Why iOmniscient’s iQ-Retail? iQ-Retail is a comprehensive portfolio of applications that can fulfill each departments specific requirement, while operating as a single integrated system to ensure quick distribution of information to all concerned when any event occurs. iQ-Retail has an accurate counting system which can provide statistical data in a report format. The data can be used to determine the busiest time (day/week/month/year) and areas for better resource planning and to determine rents for shops. iQ-Retail has an object detection system which is able to detect abandoned objects eve  

2019-06-13  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 “Jump to Event” * 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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