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Rather than continuously recording data, a VMS may also implement motion detection to reduce the amount of data to be recorded. In older analog security camera systems, the cameras were "dumb" devices only capable of producing a video signal continuously, and any video signal processing had to be done by the recording VMS. With modern megapixel network cameras, the cameras are much more sophisticated. Motion detection can now be distributed, so that the cameras do motion detection themselves and only send video when motion is detected. Alternately, motion detection can still also occur in t  

2019-03-21  Read More

A VMS can be the software component of a network video recorder and digital video recorder, though in general a VMS tends to be more sophisticated and provide more options and capabilities than a packaged NVR device. Due to improvements in technology, it is necessary to make a distinction between a VMS and the built-in features of modern network based security cameras. Many modern network cameras offer internal capabilities to record and review video directly themselves via a web browser and without the use of a VMS. However a camera's built-in web interface is typically exclusive to the came  

2019-03-21  Read More

A video management system, also known as video management software or a video management server, is a component of a security camera system that in general: Collects video from cameras and other sources Records / stores that video to a storage device Provides an interface to both view the live video, and access recorded video  

2019-03-21  Read More

While business analytics has a more broad focus on the who, what, where and when of business intelligence, behavioral analytics narrows that scope, allowing one to take seemingly unrelated data points in order to extrapolate, predict and determine errors and future trends. It takes a more holistic and human view of data, connecting individual data points to tell us not only what is happening, but also how and why it is happening.  

2019-03-20  Read More

Behavioral analytics utilizes the massive volumes of raw user event data captured during sessions in which consumers use application, game, or website, including traffic data like navigation path, clicks, social media interactions, purchasing decisions and marketing responsiveness. Also, the event-data can include advertising metrics like click-to-conversion time, as well as comparisons between other metrics like the monetary value of an order and the amount of time spent on the site. These data points are then compiled and analyzed, whether by looking at session progression from when a user f  

2019-03-20  Read More

Behavioral analytics is a recent advancement in business analytics that reveals new insights into the behavior of consumers on eCommerce platforms, online games, web and mobile applications, and IoT. The rapid increase in the volume of raw event data generated by the digital world enables methods that go beyond typical analysis[promotional language] by demographics and other traditional metrics that tell us what kind of people took what actions in the past. Behavioral analysis focuses on understanding how consumers act and why, enabling accurate predictions about how they are likely to act in  

2019-03-20  Read More

Alarm I/O - A VMS may provide the ability to monitor alarm inputs and act on them in some manner, including: Sending alarm outputs to activate ancillary equipment such as lighting Beginning recording on one or more camera sources Sending an alert message to one or more people, via email, cellphone SMS, or over the Internet to a client application or mobile phone app. Alarm inputs and outputs can be handled through separate interface components  

2019-03-19  Read More

Rather than continuously recording data, a VMS may also implement motion detection to reduce the amount of data to be recorded. In older analog security camera systems, the cameras were "dumb" devices only capable of producing a video signal continuously, and any video signal processing had to be done by the recording VMS. With modern megapixel network cameras, the cameras are much more sophisticated. Motion detection can now be distributed, so that the cameras do motion detection themselves and only send video when motion is detected. Alternately, motion detection can still also occur in t  

2019-03-19  Read More

A video management system, also known as video management software or a video management server, is a component of a security camera system that in general: Collects video from cameras and other sources. Records / stores that video to a storage device, Provides an interface to both view the live video, and access recorded video. A VMS can be the software component of a network video recorder and digital video recorder, though in general a VMS tends to be more sophisticated and provide more options and capabilities than a packaged NVR device. Due to improvements in technology, it is necessary  

2019-03-19  Read More

Video content analysis (also video content analytics, VCA) is the capability of automatically analyzing video to detect and determine temporal and spatial events. This technical capability is used in a wide range of domains including entertainment, health-care, retail, automotive, transport, home automation, flame and smoke detection, safety and security. The algorithms can be implemented as software on general purpose machines, or as hardware in specialized video processing units. Many different functionalities can be implemented in VCA. Video Motion Detection is one of the simpler forms wh  

2019-03-18  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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