Overview
Hanwha PRN-3200B4 32CH 8K 400Mbps H.265 AI NVR
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Bundle Summary
Overview
Hanwha PRN-3200B4 32CH 8K 400Mbps H.265 AI NVR
The Hanwha PRN-3200B4 is a professional-grade 32-channel Network Video Recorder designed for large-scale surveillance deployments requiring 8K resolution recording and advanced AI-powered search capabilities. With support for up to 32MP resolution, 400 Mbps distributed recording bandwidth, and integrated Wisenet AI technology, this NVR delivers enterprise-class performance for security-critical environments.
Key Features
- 32-channel H.265/H.264/MJPEG codec support with WiseStream bandwidth optimization
- Up to 32MP recording resolution with 8K playback capability
- 400 Mbps distributed recording bandwidth; 150 Mbps normal mode
- Dual HDMI outputs: 4K at 30Hz (HDMI 1) and 1080p at 60Hz (HDMI 2)
- 16 SATA HDD slots supporting up to 10TB drives (160TB max capacity)
- RAID 5/6 protection with automatic recovery backup (ARB)
- AI search for person, face, vehicle, and license plate detection with Wisenet AI cameras
- Simultaneous playback: up to 80 channels (32 local, 16 per remote user)
- Multi-screen display with dynamic layout and up to 36-division support
Technical Capabilities
The PRN-3200B4 provides extensive connectivity through three 1Gbps Ethernet ports, 32-channel audio I/O, and comprehensive protocol support including ONVIF, RTSP, HTTPS, and SUNAPI. The unit supports up to 4 simultaneous local/remote users with playback bandwidth reaching 64 Mbps across all 32 channels. Advanced event handling includes alarm inputs, video loss detection, camera events, and configurable actions spanning email notifications, FTP uploads, and PTZ preset execution.
Recording modes encompass normal, dual-stream, scheduled, and event-triggered capture with configurable pre- and post-event buffers. Playback functionality includes calendar-based date/time search, event list filtering, text search, and smart search capabilities with support for fisheye dewarping on local and CMS playback.
Security & Management
Security features include IP address filtering, user access logging, 802.1x authentication, device certificate encryption, and signed firmware updates. The embedded Linux operating system provides stability and compatibility with Hanwha's SSM management software, Webviewer, Smart Viewer, and Wisenet Mobile applications for iOS and Android devices.
Physical Specifications
Dimensions: 440 x 132 x 571.1mm (WxHxD); Weight: 13.6kg (HDD not included). Maximum power consumption: 285W. Operating range: 0–40°C, 20–85% RH. Supports 100–240 VAC ±10%, 50/60 Hz input voltage.

The PRN-3200B4 is ideally suited for large municipal, enterprise, and critical infrastructure surveillance applications where scalability, redundancy, and AI-driven forensic search are essential. The distributed 400 Mbps recording bandwidth enables simultaneous high-resolution capture across all 32 channels without bottlenecking, while RAID 5/6 redundancy and ARB ensure business continuity in failure scenarios. The Wisenet AI integration provides forensic efficiency—particularly for object tracking and license plate recognition—reducing investigation time in security incidents.
The dual-display configuration supports both control room operation and peripheral monitoring. Organizations deploying Hanwha P, X, and Q series AI cameras will maximize ROI through license-free AI analytics and seamless codec optimization via WiseStream technology.
System Design, Deployment & Technical Support
Support services and planning resources for commercial surveillance, access control, and infrastructure deployments.
Fixed scope • Fixed price
System Design Assistance
- Get help validating product compatibility
- Coverage requirements
- Storage planning and deployment architecture before you buy.
Deployment & Configuration Support
- Access fixed-scope support for rollout planning
- User setup guidance
- Migration and system standardization across single-site or multi-site deployments
Guides, Tools & Calculators
- PoE requirements
- Storage retention
- Camera selection and deployment methodology