NVR with deep learning technology DVA3221

Video analytics based on deep learning

The Synology NVR DVA3221 is a local, 4-bay NVR in a desktop-sized chassis that integrates Synology's advanced deep learning-based algorithms to provide a fast, intelligent and accurate video surveillance solution. Built-in push notification support alerts users to possible intrusions, and automated video surveillance helps protect facilities by detecting people, vehicles and anonymous objects in designated areas.

Key features:

• Face recognition - Provide better tracking and greater security through real-time categorisation and identification of personnel
• People and vehicle detection - Build situational awareness by detecting people or vehicles in restricted areas
• People counting - Measure marketing effectiveness and optimise rental prices by monitoring the number of visitors
• Intrusion detection - Configure the area boundary for automatic notifications when breaches occur
• Easy and flexible integration - Fast and complete monitoring deployments with support for over 7,600 IP cameras, H.264/H.265 and 4K resolution
• Multi-platform support - Access from anywhere, anytime with support for Windows, macOS, iOS, Android and web browsers
• Scalable storage - Expandable with up to two DX517 expansion units for an additional 10 drive bays

Next-generation monitoring solution based on deep learning technology: 

• Event surveillance: Create a custom watch list by importing participant images into the database and set rules to notify system administrators when staff or VIP customers enter or leave the facility.
• Suspect tracking: Capture and record or manually upload images of an unknown person to the database to search for footage of the person, or receive notifications when the person is recaptured by the camera.
• Covered face detection: Detecting whether a person is wearing a mask and sending notifications about it.
• Flexible storage and camera channels: Expand storage by up to 10 additional drive bays with two Synology DX517 expansion units. Install up to 32 IP camera channels using 6 real-time video analysis tasks.

Generate useful statistics

The DVA3221 runs advanced deep learning-based algorithms that convert massive amounts of unstructured video data for situational awareness and security analysis. This significantly reduces the workload, improving overall security.

• Facial recognition: Immediate identification of key personnel in a customised database with up to 97.04% accuracy.
• Person and vehicle detection: Notify administrators of anonymous persons or vehicles in a specific area, such as a no-parking zone or in front of a shop.
• People counting: Control the number of people entering and staying in an area with two-way counters to help landlords measure sales and marketing effectiveness or adjust rental rates.
• Intrusion detection: Detecting when a person or vehicle crosses an area boundary, alerting administrators to potential intrusion.

Advanced VMS platform

Based on Synology Surveillance Station on Synology DSM, the DVA3221 combines advanced video analytics with robust storage and data management features.

• Full data ownership without subscription fees: Unlike video surveillance cameras that require monthly subscriptions and cloud storage, all recordings captured on the DVA3221 are stored free of charge on the device itself.
• Compatible with over 7,600 cameras: No lock-in. With support for the ONVIF standard, you can choose from a wide range of cameras to meet all your requirements.
• Remote monitoring and control: You can access your surveillance system from a web browser, desktop client or DS cam mobile app anytime, anywhere.
• Automation and notifications: Set up custom actions when certain events occur, such as automatically taking snapshots when motion is detected. Receive notifications via email, SMS or push notifications to enable timely intervention.
• Data protection and CMS: Comprehensive tools for data protection and backup on location, remotely or in the cloud. Easily configure and manage multi-site surveillance systems with optional N+M failover for maximum service availability.