SecurityWorldMarket

27/04/2020

Hanwha claims industry first with 8K camera

Chertsey, Surrey

“The super high resolution capabilities of the Wisenet TNB-9000 means that large areas can be covered with sufficient pixel density to enable operators to digitally zoom in to see a sharp image of just a small part of the scene,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe.

Security personnel responsible for the safety of visitors at airports, sports stadiums and other wide open environments where there is a high risk of terrorist activity, can now rely on a new high performance Wisenet video surveillance camera manufactured by Hanwha Techwin, to help them detect and forensically analyse any suspicious activity.

“The super high resolution capabilities of the Wisenet TNB-9000 means that large areas can be covered with sufficient pixel density to enable operators to digitally zoom in to see a sharp image of just a small part of the scene,” said Uri Guterman, Head of Product & Marketing for Hanwha Techwin Europe. “This ability to closely zoom in without losing any detail, makes the Wisenet TNB-9000 ideal for applications where installing multiple cameras may be impractical or cost prohibitive.”

Deep learning based video analytics

The H.265 Wisenet TNB-9000, which utilises a full size 43.3mm CMOS sensor to capture true 8K images at 15 frames per second, is equipped with deep learning based video analytics. This simultaneously detects and classifies various object types, including people, vehicles, faces and license plates.

The deep learning based video analytics is also able to ignore video noise, waving trees, moving clouds and animals, all of which might normally be the cause of false alarms.

In addition to its deep learning capabilities, the Wisenet TNB-9000 has a wide range of built-in intelligent video analytics (IVA), including tampering, loitering, directional detection, defocus detection, virtual line, enter/exit, appear/disappear, audio detection and motion detection. It also has an audio analytics feature which recognises critical sounds such as raised voices, screams, broken glass, gunshots and explosions, and generates an alert to enable security personnel to quickly react to any incidents.

“The superb quality of the images captured by our highest resolution camera to date, together with its deep learning based video analytics and other innovative features, provides security personnel with an extremely powerful tool to accurately detect any suspicious activity,” said Uri Guterman.” As such, the introduction of the Wisenet TNB-9000 presents system integrators with an excellent opportunity to help their end-user clients cost-effectively take their security to a higher level.”


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