Hanwha XNV-8093R 6MP Outdoor AI IR Vandal Dome Camera

Hanwha XNV-8093R 6MP Outdoor AI IR Vandal Dome Camera

The Hanwha XNV-8093R is a premium 6MP outdoor AI-powered dome camera engineered for extreme durability and intelligent surveillance in demanding environments. Combining high-resolution imaging, advanced thermal IR capability, and AI-based analytics, this camera delivers comprehensive situational awareness for large-scale security deployments, industrial facilities, and critical infrastructure monitoring.

Key Features

• 6MP resolution (3328x1872) with 1/1.8" progressive CMOS sensor for superior image clarity
• 10.9–29mm motorized varifocal lens with 2.7x zoom and DC auto iris for flexible field-of-view adjustment
• WiseIR thermal IR illumination extending 70 meters (229.66 ft) for complete darkness visibility
• extremeWDR (120dB) with WiseNR II AI-based noise reduction for high-contrast and low-light performance
• IP66/IP67/IP6K9K, NEMA4X, and IK10+ certification for vandal-resistant, weather-sealed protection
• AI-powered object detection: person, face, vehicle (car/bus/truck/motorcycle/bicycle), and license plate recognition
• Intelligent Video Analytics (IVA): virtual line/area crossing, loitering, intrusion, enter/exit, and direction detection
• Business Intelligence: people counting, queue management, and heatmap generation
• Digital Image Stabilization with built-in gyro sensor for smooth video during vibration or movement
• Built-in defog and defocus detection for enhanced reliability in adverse weather
• 2-slot microSD/SDHC/SDXC edge storage (up to 1TB) for local recording and failover
• Dual audio (mic and line in) with G.711/G.726 compression and alarm audio playback
• PoE+ (IEEE 802.3at) and 12VDC power options with redundancy failover
• H.265/H.264 and MJPEG video compression with WiseStream III smart codec
• ONVIF Profile S/G/T, SUNAPI, and Wisenet open platform for seamless third-party integration

Technical Specifications

• Imaging: 3328x1872 (6MP) at 30fps H.265/H.264 or 15fps MJPEG; supports multiple resolution profiles
• Low-Light Performance: 0.06 Lux color (F1.7, 1/30sec), 0.006 Lux B&W, 0 Lux with IR LED
• Optical Performance: 42°–15° horizontal FOV (wide to tele), minimum object distance 2.5m wide / 6m tele
• Detection Ranges: Detect (25 PPM): 173.4m wide / 505.6m tele; Identify (250 PPM): 17.3m wide / 50.6m tele
• Motion Detection: 8 configurable 8-point polygonal zones with advanced AI filtering
• Privacy Masking: 32 quadrangle zones with color and mosaic options
• Temperature Range: Operating -50°C to +55°C (max +60°C intermittent); storage -50°C to +60°C
• Network: Gigabit Ethernet, IPv4/IPv6, RTSP, HTTP/HTTPS, DHCP, DDNS, 802.1X authentication
• Security: TPM 2.0 (FIPS 140-2 Level 2), HTTPS/SSL, digest authentication, IP filtering, device certificate
• Memory: 4GB RAM, 512MB Flash
• Power: PoE+ max 22.5W (typical 17.9W) or 12VDC max 20.0W (typical 15.6W)
• Dimensions: Ø180x125mm; weight 1900g

Applications

Ideal for outdoor perimeter security, parking lot surveillance, transportation hubs, industrial complexes, toll plazas, and critical infrastructure requiring long-range identification, impact resistance, and all-weather reliability.

Ted Perry

The XNV-8093R stands out in the mid-to-premium outdoor segment due to its combination of thermal IR reach (70m), AI-native design, and exceptional durability certifications. The 120dB extreme WDR and gyroscopic stabilization ensure usable video across dynamic lighting and high-motion scenarios. The integrated AI engine eliminates post-processing overhead for object detection and IVA, enabling real-time alerting and forensic analytics without external GPU infrastructure.

PoE+ power delivery simplifies installation in remote locations, while dual audio and 2TB edge storage provide evidence-grade recording. Organizations requiring license plate recognition, intrusion prevention, or crowd analysis will benefit significantly from native analytics; however, deployment should account for the camera's 4°–21.2° vertical FOV constraints in tight spaces.