Synology^® DVA1622 brings AI-powered video surveillance to homes and small businesses

Bellevue, Wash—June 15, 2022—Synology announced today the launch of the Deep Learning NVR DVA1622 as it expands its efficacious line of deep learning network video recorders with a solution for smaller deployments. Synology previously launched the four-bay DVA3221 to put AI-powered surveillance in the hands of small and medium-sized businesses. For the first time, the new two-bay DVA1622 brings AI-powered analytics within reach of small businesses and households.

A tailored solution for local use

The DVA1622 allows home users, shop owners, and others to profit from up to two simultaneous smart analytics tasks while monitoring up to 16 cameras in the smallest possible footprint. In addition, unlike its larger brother, the DVA1622 supports HDMI output for up to 16 streams on one screen and local controls via two USB ports, eliminating the need for a PC to monitor and manage your deployment.

"We designed the DVA1622 specifically with the needs of small and home users in mind," said Tony Lin, product manager for surveillance at Synology Inc. "That doesn't mean right-sizing its capacity, but also adding additional features to make sure that it can be used with a monitor, mouse, and keyboard for an all-in-one, standalone surveillance solution." 

More than just threat identification

Deep learning video analytic (DVA) tasks can help enhance security by actively identifying specific threats as configured. They also reduce the effort of securing premises by providing more accurate and filtered alerts. For instance, it will only notify users of movement by people or cars. Deep learning analytics can help automate aspects of site management by calculating occupancy and can also help generate statistics and other useful information.  

Enhancing home security

Timely alerts are crucial to prevent break-ins. With one or two DVA tasks, homeowners can transform their home surveillance from simple CCTV recording to an active threat detection system that warns when suspicious activities are detected. 

Many homes have lightly fenced gardens, driveways, sheds, and ground floor rooftops from which thieves can force themselves in. However, setting up motion detection for open areas can lead to many false notifications as animals, deliverers, and other inputs trigger alarms. 

The DVA1622 supports Intrusion Detection and can correctly identify when humans or vehicles cross preset boundaries, such as fence tops, and in which direction they are crossed. People and Vehicle Detection scans feeds for humans or cars and sends alerts when these enter or linger in an area for a certain amount of time.

Secure surveillance ecosystem

The DVA1622 comes out of the box with the Surveillance Station 9.0 video management system, offering the latest and greatest in surveillance. With support for more than 8,300 new and older camera models, and even more models through ONVIF conformance, migrating from other solutions is a breeze. Easy setup wizards automate configuration to get you up and running in no time. Surveillance Station further offers integration with I/O modules, audio systems, door controllers, and other surveillance devices to make security systems truly interactive, including with other Synology systems.

Surveillance data can be kept safe in case of disaster with automated backups to Synology NAS and by dual recording from IP cameras to a second device or to the cloud with C2 Surveillance. Protecting video recordings against theft, intrusion, or unauthorized use is easy with footage and device encryption, HTTPS and SRTP support, live watermarking, and integrity authentication tools.

Need the DVA1622 as part of a larger deployment? With Surveillance Station Centralized Management System (CMS), several to hundreds of Synology DVA, NVR, and NAS devices can be managed, operated, updated, and protected from a central management server. Process video at the edge while keeping central control, and maintain your servers remotely from a single, powerful console.