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Hanwha Vision PNM-C7083RVD 2MP 2-Sensor Outdoor Multidirectional Network Dome Camera with Night Vision

Hanwha Vision PNM-C7083RVD 2MP 2-Sensor Outdoor Multidirectional Network Dome Camera with Night Vision

In Stock
SKU #
HAPNC7083RVD
Mfr #
PNM-C7083RVD
Manufacturer
Hanwha Vision
Description
Monitor an indoor or outdoor area with the white PNM-C7083RVD 2MP 2-Sensor Multidirectional Network Dome Camera with Night Vision from Hanwha Techwin. This unit uses two 1/2.8" CMOS image sensors to capture 1080p resolution video per sensor at 30 fps. IR LEDs provide up to 82' of night vision. The camera's 3-6mm motorized varifocal lenses each deliver a 107 to 56.3 horizontal field of view. An onboard memory card slot accepts microSD/SDHC/SDXC cards up to 512GB (available separately). Integrated PoE technology simplifies connectivity by transferring data and power through a single cable. This camera complies with ONVIF profiles S and T, making it compatible with a wide range of surveillance devices. It is housed in an IP66-, NEMA 4X-, and IK10-rated aluminum enclosure that is suitable for outdoor use in areas at risk of vandalism.None IR cut filter for day and night functionalityNone H.265, H.264, and MJPEG video compressionsNone CBR and VBRNone WiseStream II and WiseStream III supportNone Unicast and multicast streamingNone Electronic shutter speedNone Simple focusNone Lens distortion correctionNone Three-axis angle adjustments (0 to 355 horizontal pivot, 0 to 78 vertical pivot, and 0 to 180 rotation)None 1.64' minimum object distanceNone BLC, 120 dB WDR, and SSDRNone Digital noise reduction (WiseNR II and SSNR V)None Gain controlNone Adjustable white balanceNone Privacy masking for up to 6 quadrangular zonesNone Flip, mirror, and hallway view (90, 270 ) video rotationNone Audio and alarm I/O via SPM-4210 I/O box (available separately)None Analytics include: object detection, virtual line (crossing, direction), virtual area (loitering, intrusion, enter, exit), defocus detection, motion detection (8 polygonal zones), tampering, and virtual area (appear, disappear)None Classified object type for analytics include: person, face, vehicle, and license plateNone Attributes for vehicle identification type include: car, bus, truck, motorcycle, and bicycleNone Supported browsers include: Chrome, Safari, Firefox, and Edge

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