Deep Learning NVR DVA3219: Introducing AI-powered video analytics on premises

Built-in analytics modules to deliver actionable insights

Advanced deep learning–based algorithms are built into DVA3219 to transform a vast amount of unstructured video data into situational awareness and business intelligence. This can significantly save man-hours while increasing overall security at the same time.

We are pleased to announce the official release of the Deep Learning NVR DVA3219!

The newest Synology product is optimised for intelligent video analysis and private surveillance solutions. Built-in advanced deep learning-based algorithms transform unstructured video data into situational awareness and business intelligence, featuring; people counting, intrusion detection, no-idle zone and deep motion detection helping to save man-power hours. DVA3219 supports up to 32 channels and is capable of running 4 real-time video analysis tasks.

People Counting

Bidirectional counters to calculate the amount of crowd entering and staying in a place, making it possible to gauge sales and marketing effectiveness or even adjust rental rates.

Intrusion detection

To protect a perimeter with no security guard, alerts are automatically issued when someone crosses a warning line. By proactive monitoring, you can better protect your properties from potential intruders.

No-idle zone

Monitors a pre-defined area for things that shouldn’t be there, such as a car in a no-parking area or someone loitering in front of an entrance for longer than a given period of time.l rates.

Deep motion detection

Accurately identifies truly unusual motions while filtering out the usual background noise, such as rain, snow, swaying trees, small animals, or the day/night switch of an IP camera.

Server-based video analytics

Compared to cloud-based or camera-based models, running video analytics on Synology DVA3219 provides several distinct advantages:

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