AI End-to-End Security Solutions

As AI becomes more broadly adopted across all industries, edge-based AI (which filters and processes data locally on a camera) is being increasingly incorporated into video surveillance to enable end-to-end AI technology. Today, most security cameras send the data they collect to servers to be analysed. However, with edge-based AI, the data is analysed by the camera first and subsequently sent to the server.

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

Benefits:

Increase event monitoring accuracy by reducing false alarms
Classify target objects with attributes
Edge-based business intelligence
BestShot for minimising storage and bandwidth requirements
Enhanced image quality

AI End-to-End Security Solutions

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.

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.

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.

BestShot Feature – P Series Only

The BestShot feature ensures that only the most suitable images of classified objects are sent to the storage server. Each image can be up to cropped 4K quality, along with tagged attributes metadata.

Users have the option to set the image resolution at 2MP for full video streaming or use the BestShot feature to minimize bandwidth and storage requirements.

WiseNET AI camera analytics are fully integrated into WiseNET WAVE VMS, Milestone XProtect, Genetec Security center, as well as many other Video Management Systems via the Hanwha Vision AI Camera plug-in

Simultaneous 2CH video streaming for digital auto-tracking

Wisenet P series AI cameras support 2 channel streaming. Channel 1 can be used for full screen video display with channel 2 simultaneously streaming the digital PTZ auto tracking of an object (person or vehicle). Cropped imaged (channel 2) supports up to Full HD resolution(1080p).

AI Based enhanced image quality – WiseNRII & Prefer Shutter

AI plays a vital role in providing high image quality. WiseNRII is a new camera enhancement that uses AI to intelligently identify movement and reduces blur in noisy, low light environments. AI-based Preferred Shutter technology automatically adjusts the shutter speed based on classified objects in motion and the lighting conditions in a scene to reduce motion blur. This delivers clear images.

The cameras benefit from next-generation WiseStream III compression technology which minimises network bandwidth and data storage requirements. This applies a low compression rate to objects and people which are detected and tracked by AI, whilst applying high compression to the remaining field of view.