IVA (Virtual line/Area, Enter/Exit, Loitering, Direction, Intrusion) Analytics events : Defocus detection, Motion detection, Tampering, Fog detection Audio detection, Sound classification, Shock detection, Appear/Disappear IP66/IP67/IP6K9K, NEMA4X, IK10+ TAA compliant model: XNV-8093R/KEX

Edge Computing and Edge AI are bringing computation and data storage closer to the data sources, reducing latency and enabling real-time data processing. This allows for faster response times and more efficient security operations.

Color: 0.06 Lux (F1.7, 1/30sec, 30IRE), 0 Lux (IR LED on)

6MP AI IR Vandal Dome Camera Key Features 6MP resolution 10.9~29mm (2.7x) motorised varifocal Colour: 0.06 Lux (F1.7, 1/30sec, 30IRE), 0 Lux (IR LED on) Maximum 30 fps (H.265/H.264) WiseIR: IR viewable length 70m(229.66ft) Day & Night (ICR), extremeWDR (120 dB) Hard-coated dome bubble WiseNRⅡ (Based on AI engine), WiseStreamⅢ (Based on AI engine) Analytics…

VISTA H3: Scalable and insightful hybrid security Shop ADI's Exclusive Brands VISTA H3: Scalable and insightful hybrid security Shop ADI's Exclusive Brands VISTA H3: Scalable and insightful hybrid securityHanwha XNV-8093R X Series 6MP AI IR Outdoor Vandal Dome Camera, 10.9-29mm Motorized Varifocal Lens, White

The XNV-8093R from Hanwha Vision is a 6 megapixel IR outdoor vandal dome AI camera equipped with a versatile 10.9-29mm lens, designed to deliver high-definition surveillance in various environments.

• 6MP 해상도 • 화각 (H) : 42° (광각)~15° (협각) / 10.9~29mm (2.7x) 전동 가변 초점 렌즈 • 컬러: 0.06Lux (F1.7, 1/30초, 30IRE) BW: 0.006Lux (F1.7, 1/30초, 30IRE), 0Lux (IR LED on) • IR 가시거리 70m, WDR 120dB, WiseNRⅡ (AI엔진사용) • AI 기반 객체 감지 (사람, 얼굴, 차량, 번호판), IVA (가상선/영역, 출입 감지, 배회, 방향 감지 ...

HANWHA VISION | XNV-8093R Powered By WN7, X-plus Series, Outdoor Network AI IR Vandal Dome Camera

Manuals and User Guides for Wisenet XNV-8093R. We have 3 Wisenet XNV-8093R manuals available for free PDF download: User Manual, Quick Start Manual, Quick Manual

With a range of available resolutions from 2MP to 4K, the cameras’ deep-learning algorithms can reliably identify multiple distinct objects. Reduce false alarms due to none interesting motion, like wind-blown trees, shadows, or animals.