Video Analytics
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Video analytics software has been designed to help analyze the may hours of video surveillance that a security guard or system manager will never have time to watch-your video monitoring system is just as valuable as the events that you can actually monitor and record, and data analytics can help you locate those.

Using video analytics makes your surveillance system more effective, reduces the burden on security and management personnel, and lets you capture the full benefit of video protection by making your IP camera system smarter in its work.

How Video Analytics Software Works

Video analytics software for security cameras is available in several forms: installed on your camera, on your NVR, or as 3rd party software you buy. Each version will do the same thing, however – monitor your videos to search for and alert you to activity.

Each video analytics solution will work a bit differently depending on the manufacturer and application. They all work in the same basic way, however – when setting up the software you set up parameters to the activity the software is looking for, set up the alert notification system, and when the software detects something that meets its search criteria it alerts you.

For example, many businesses use surveillance systems to detect motion in their store after hours. You can set your system to motion detection during the hours your business is closed, so if it detects motion it will send you an email – a quick response that may help you react quickly to a break-in or accident.

How Video Analytics Can Help You

The old idea of a video surveillance system is of a security guard sitting in a booth watching the security camera feed live, hoping to catch suspicious activity. This model relies on having a live person watching and reviewing all your video, however, which is not practical or efficient. Different security guards may have differing levels of focus or different ideas of suspicious activity.

Video management software changes this system by using software to monitor your video feed around the clock, alerting you to activity so you only need to watch the cameras when something happens. This will help you best utilize your surveillance system, saving you time and effort.

Video analytics can be used for:

Motion detection facial recognition & license plate reading people counting & dwell time monitoring for retail stores recognizing long lines at checkout and sending alerts and more – Contact our video surveillance experts today to get personalized recommendations for your needs!
Video analytics software comes with a wide range of features, making it easy to fit into any surveillance system. Choose from software that supports every system, from the smallest systems to large multi-campus systems. A variety of leading manufacturers create video analytics software, including Milestone.

There are numerous video analytic features developed that can track various behaviors— from recognizing an abandoned briefcase or duffel bag to determining when someone is loitering in a specified zone. The analytic capabilities offered today are limited only by the creativity of the user and the need presented; examples include:

Directional Motion

when motion is detected in a specific direction, an alarm is triggered. Users have wide flexibility in defining areas of interest and activity thresholds to minimize false alarms.

Adaptive Motion

advanced motion detection behavior calibrates to scene conditions, allowing the system to distinguish targets from other movements in a scene, such as a headlight glare, leaves blowing, a flag flying, or snow falling. It is ideal for identifying people and vehicles in parking lots and perimeter detection with such outdoor conditions.

Vibration Removal

reduces video shake in applications where cameras are subject to vibration, providing a clear picture despite camera shake. Ideal for external cameras with long focal lengths, pole-mounted cameras, and an array of other applications.

Object Removal

alarm triggers when a stationary object, such as a piece of art, is removed from a selected scene. This analytic behavior allows the user to define an object or area of interest in a scene. Motion is allowed in the protected zone, but if an object is removed, an alarm is triggered.

Object Counting

this behavior counts objects when motion is detected in a specific direction. Users have wide flexibility in defining areas of interest and activity thresholds. An alarm is generated when the threshold is exceeded. Ideal for counting cars in a parking garage or counting visitors entering/exiting a high-risk department or other similar situation.

Camera Sabotage

advanced video loss detection recognizes when the video has been compromised. For example, if a vandal paints or covers a lens, or reaches to move a fixed camera away from an intended scene, an alarm is triggered.

Abandoned Object

an alarm triggers when a stationary object appears and remains in a scene, such as a person setting down a backpack in the main lobby. This behavior allows the user to define an object or area of interest in a scene. Motion is allowed in the protected zone.

Loitering Detection

when people or vehicles remain in a defined zone longer than the user-defined time allows, an alarm is activated. This behavior is effective in the real-time notification of suspicious behavior around pharmacy departments, ATMs, narcotic dispensaries, and other locations.

Stopped Vehicle

vehicles stopped near a sensitive area longer than the user-defined time allows are detected. This behavior is ideal in loading and receiving docks, parking enforcement, and vehicle waiting at parking gates.

Auto Tracking

Pan/tile/zoom capability to track vehicles or humans entering or stopping in user-defined zones. Once identified, the camera locks on and follows the subject’s path. This analytic is best for building perimeters.

Video Analytics During COVID-19

As the IP surveillance industry enters the era of AI, security network cameras (IP cameras) have seen great advances through the application of AI and deep learning technologies. These next-generation cameras are equipped with high-performance computing power and video analytics, allowing users to transform real-time images into the big-data analysis.

Under the social distancing practices of supermarkets noted above, there are four video analytic techniques that are commonly deployed to take precautionary measures.

1.     Queue Management:

Queue management was designed to optimize customer experiences and reduce wait times. During the pandemic, however, queue management has been focused on managing customer flows and avoiding physical queues to maintain social distancing.

2.     People Counting:

In response to the needs of entry-control management, a people-counting solution is the ideal video analytic tool for supermarket chains. It can easily identify occupancy levels and monitor in real-time the number of people entering and exiting a store, thereby providing customers and staff with a safer environment.

3.     Crowd Detection:

Crowd Detection video analytics can be used to identify how many people are present in each area. Stores and businesses can then effortlessly manage and maintain distances between customers, automatically sending alert notifications when maximum capacity is exceeded.

4.     Personal Protective Equipment (PPE) Detection:

Personal Protective Equipment (PPE) can protect the user against health or safety risks. These items include safety helmets, gloves, eye protection, high-visibility garments, safety footwear, and so on.

During the COVID-19 pandemic, advanced video analysis can identify people who are not wearing masks, hardhats, vests, or other critical equipment, providing a safe and healthy environment for both frontline workers and customers.

Thanks For reading ..

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