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DS-2XS6A46G1/P-IZS/4G
Hikvison
8525801302
| Image Sensor | 1/1.8" Progressive Scan CMOS |
| Max. Resolution | 2560 × 1440 |
| Min. Illumination | Color: 0.0005 Lux @ (F1.2, AGC ON), B/W: 0 Lux with light |
| Day & Night | Day, Night, Auto, Schedule, Video Trigger |
| Zoom | Varifocal (motorized lens, 2.8 to 12 mm and 8 to 32 mm optional) |
| Focal Length | 2.8 to 12 mm;8 to 32 mm |
| FOV | 2.8 to 12 mm: horizontal FOV 107.4° to 39.8°, vertical FOV 56° to 22.4°, diagonal FOV 130.1° to 45.7° 8 to 32 mm: horizontal FOV 40.3° to 14.5°, vertical FOV 22.1° to 8.2°, diagonal FOV 46.9° to 16.5° |
| Focus | Auto, Semi auto, Manual |
| Supplement Light Range | 2.8 to 12 mm: Up to 30 m;8 to 32 mm: Up to 50 m |
| Main Stream | Performance mode: 50 Hz: 25 fps (2560 × 1440, 1920 × 1080, 1280 × 720) 60 Hz: 30 fps (2560 × 1440, 1920 × 1080, 1280 × 720) Proactive mode: 50 Hz: 12.5 fps;60 Hz: 15 fps (same resolutions) Video compression: H.264/H.265 |
| Wide Dynamic Range (WDR) | 120 dB |
| Dimension | 816.2 mm × 735.9 mm × 760 mm (32.1" × 28.9" × 29.9") |
| Weight | Approx. 31.885 kg (70.3 lb.) (device only);Approx. 25.650 kg (56.5 lb.) (with package) |
| Material | Front cover: metal; body: metal; bracket: metal |
| Protection | Camera: IP66 (IEC 60529 2013); Wind resistance: 12 level, up to 40 m/s wind speed resistance |
Application
Highways and Toll Roads: Enables automatic number plate recognition (ANPR) for toll collection, traffic flow monitoring, and enforcement of traffic regulations.
Parking Lots: Facilitates efficient parking management by identifying vehicle number plates for entry and exit, tracking parking durations, and enhancing security by monitoring vehicle access.
Gateways and Checkpoints: Provides secure access control at facility entrances, military bases, or corporate checkpoints.
Product standards
Imaging: 4MP resolution, 120 dB true WDR for clear visuals in backlight.
Connectivity: 4G (LTE - TDD/LTE - FDD/WCDMA/GSM) with Micro SIM support.
Durability: IP66 rated for dust and water resistance.
Intelligence: Deep learning for human/vehicle target classification.