Hanwha Vision Wisenet AI CCTV cameras

As Artificial Intelligence (AI) is becoming more widespread in all industries, video surveillance is increasingly using AI algorithms, which means that the data collected is processed on the existing device (the data is filtered and processed locally in the camera), i.e. using only the technical resources of the camera and no additional external servers are needed to process the analytics data. 

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Currently, most security cameras send the data to servers for analysis, but with AI, the whole process - data collection, processing - takes place in the camera and finally a predefined result is sent to the server.

This reduces the burden of transferring and storing large amounts of data on the server, thereby increasing efficiency, saving time and reducing the server costs normally required to analyse the data.

  • Increases the accuracy of event monitoring by reducing the number of false alarms.
  • Classifies target objects with attributes.
  • Minimises data storage requirements.

Reducing false alarms

The analysis of the resulting data can be configured to ignore video noises such as trees moving in the wind, animals, which can usually be the cause of false alarms when standard motion detection technology or sensors are used to detect the activity. This minimises the time and cost lost in false alarms. This, in turn, means that control room operators and security staff can concentrate fully on responding to real incidents and emergencies.

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The analytics can be configured to ignore video noise, waving trees, moving clouds and animals, all of which might normally be the cause of false alarms when standard motion detection technology or sensors are being used to detect activity.

This ability to minimise time-wasting and costly false alarms means control room operators and security personnel are able to focus on responding to real incidents and emergencies.

AI-based object detection for operational efficiency

Wisenet AI cameras detect and classify people, vehicles, faces, license plates and more in real-time.

With a range of available resolutions from 2MP to 4K, the cameras’ deep-learning algorithms can reliably identify multiple distinct objects.

Analytics become a reliable second pair of eyes to operators helping them know where to look for important real-time events, while making post-event forensic searches highly efficient.

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Classify Target Objects with attributes – Wisenet P Series Only

Whilst all AI cameras differentiate what they see into broad categories such as ‘Person’, ‘Face’, ‘Vehicle’ and ‘license plate’, the Wisenet P Series AI algorithms are able to delve deeper, quickly and accurately identifying the different attributes of the objects within the camera’s field of view.

For example, the camera sees a person and immediately detects the colour of clothing. It is also intelligent enough to distinguish whether the person is wearing glasses or holding a bag.

These attributes are then saved as metadata alongside the captured footage.

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Edge-based business intelligence

With business intelligence already built-in into the cameras, and the ability to detect, count and classify people from any angle, there is no longer a need to install additional cameras.

This provides an easy and cost-effective solution for people counting, queue management and heatmapping.

Wisenet P series AI cameras also benefit from additional applications – namely occupancy monitoring, face mask detection, social distancing – which are not available as standard on the X series.

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Wisenet 4K AI camera range:

PND-A9081 RV

PND-A9081 RF

PNV-A9081 R

PNO-A9081 R


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