Overview
Speco N32WNRN2TB 32-Channel 4K H.265 NVR Wall Mount
Speco Technologies N32WNRN2TB 32-Channel 4K NVR Wall MountOverviewThe N32WNRN2TB is a 32-channel 4K H.265 NVR designed for wall-mounted deployment in …
Speco N32WNRN2TB 32-Channel 4K H.265 NVR Wall Mount
Your recommended setup
Review items below — quantities update pricing automatically.
Bundle Summary
Overview
Speco Technologies N32WNRN2TB 32-Channel 4K NVR Wall Mount
Overview
The N32WNRN2TB is a 32-channel 4K H.265 NVR designed for wall-mounted deployment in professional surveillance installations. It combines high-capacity recording with built-in analytics and facial recognition capabilities, making it suitable for retail, enterprise, and institutional environments requiring centralized video management and intelligent event detection.
Key Features
Supports up to 32 IP cameras at 4K resolution with H.265 compression for bandwidth and storage efficiency. Integrated analytics include motion detection, facial recognition, and object tracking. 2TB onboard storage provides extended recording retention. Wall-mount form factor enables flexible installation in control rooms and monitoring centers.
Compatibility
Compatible with ONVIF-compliant IP cameras and standard VMS platforms. Suitable for integrators deploying multi-camera surveillance systems requiring local processing and analytics. Designed for indoor deployment environments.
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