Prama · Network Video Recorder(NVR)

Prama PT-NRAS2E32-K8 32-Channel Aisense Network Video Recorder, 8 SATA

32-ch AI NVR · 8 HDD bays (Up to 10 TB) · 256 Mbps incoming · H.265+

Price on request

Key features

  • Channels: 32-ch
  • Incoming bandwidth: 256 Mbps
  • Outgoing bandwidth: 160 Mbps
  • Recording resolution: 12MP/8MP/6MP/5MP/4MP/3MP/1080p/UXGA/720p/VGA/4CIF/DCIF/2CIF/CIF/QCIF
  • Decoding capability: AI on: 1-ch@12MP (30fps)/2-ch@8 MP (30fps)/4-ch@4 MP (30fps)/8-ch@1080p (30fps) AI off: 2-ch@12MP (30fps)/3-ch@8 MP (30fps)/6-ch@4 MP (30fps)/12-ch@10
  • Storage: 8 SATA interfaces
  • Capacity: Up to 10 TB capacity for each disk
  • Network interface: 2, RJ-45 10/100/1000 Mbps self-adaptive Ethernet interface
  • Two-way audio: 1-ch, RCA (2.0 Vp-p, 1 KΩ, using the audio input)
  • Alarm in/out: 16/9, the 9th alarm supports control 12V.
  • Face comparison: 4-ch
  • Human/vehicle analysis: 2-ch, 4 MP (HD network camera, up to 8 MP, H.264/H.265) video analysis for human and vehicle recognition to reduce false alarm
  • Model: PT-NRAS2E32-K8

Description

Prama PT-NRAS2E32-K8 — 32-channel Aisense network video recorder with 8 SATA bays (Up to 10 TB). Supplied by iActive Solutions with manufacturer warranty; installation, camera configuration and remote-view setup available across Hyderabad and India.

Specifications

Channels32-ch
Incoming bandwidth256 Mbps
Outgoing bandwidth160 Mbps
Recording resolution12MP/8MP/6MP/5MP/4MP/3MP/1080p/UXGA/720p/VGA/4CIF/DCIF/2CIF/CIF/QCIF
Decoding capabilityAI on: 1-ch@12MP (30fps)/2-ch@8 MP (30fps)/4-ch@4 MP (30fps)/8-ch@1080p (30fps) AI off: 2-ch@12MP (30fps)/3-ch@8 MP (30fps)/6-ch@4 MP (30fps)/12-ch@1080p (30fps)
Storage8 SATA interfaces
CapacityUp to 10 TB capacity for each disk
Network interface2, RJ-45 10/100/1000 Mbps self-adaptive Ethernet interface
Two-way audio1-ch, RCA (2.0 Vp-p, 1 KΩ, using the audio input)
Alarm in/out16/9, the 9th alarm supports control 12V.
Face comparison4-ch
Human/vehicle analysis2-ch, 4 MP (HD network camera, up to 8 MP, H.264/H.265) video analysis for human and vehicle recognition to reduce false alarm

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