Description
The Hanwha Vision PNO-A9081RLP is a 4K IR bullet camera designed for advanced License Plate Recognition (LPR), Automatic Number Plate Recognition (ANPR), and Make/Model/Color Recognition (MMCR). Powered by Wisenet Road AI with a CNN deep learning engine, it delivers precise vehicle analytics and reliable performance in demanding traffic and parking environments.
With 30m WiseIR illumination, 120dB WDR, ultra-low-light performance, P-iris lens control, strong cybersecurity features, and a rugged aluminum build, this camera is ideal for highways, toll lanes, parking facilities, perimeter monitoring, and smart city applications. It supports direct cloud connection, edge storage, and broad VMS integrations including Genetec, Milestone, Wisenet WAVE, and more.
| Category | Specification |
|---|---|
| Image Sensor | 1/1.8" CMOS |
| Maximum Resolution | 3840×2160 (4K) |
| Supported Resolutions | 4K, 3072×1728, 2688×1520, 2592×1944, 2560×1440, 2048×1536, 1920×1080, 1600×1200, 1280×1024, 1280×960, 1280×720, 1024×768, 800×600, 800×448, 720×576, 720×480, 640×480, 640×360 |
| Frame Rate | 30fps (H.265/H.264/MJPEG) |
| Min. Illumination | Color: 0.05 lux; B/W: 0.005 lux |
| WDR | 120 dB |
| IR Illumination | WiseIR 30m (98.4 ft), 850nm |
| Day/Night | Auto ICR |
| Lens Type | 4.5–10mm, P-iris, IR-corrected |
| Optical Zoom | 2.2x |
| Aperture | F1.6 (Wide) / F2.65 (Tele) |
| Field of View | H: 101.4°–45.5°, V: 53.6°–25.5°, D: 120.7°–52.3° |
| Focus Control | Simple focus |
| Image Enhancements | SSNR V, BLC, SSDR, DIS (gyro-based), LDC, Flip/Mirror/Hallway view |
| Motion Detection | 8 polygonal zones |
| Privacy Masking | 6 rectangular zones |
| Audio | Audio In (mic/line selectable), Line Out |
| Video Compression | H.265, H.264 (Main/High), MJPEG |
| Audio Compression | G.711, G.726, AAC-LC |
| Streaming | Up to 3 profiles; unicast & multicast |
| Smart Codec | WiseStream II |
| Network Interface | RJ-45 (10/100/1000BASE-T) |
| Protocols | IPv4/IPv6, HTTP/HTTPS, RTP/RTSP, NTP, SNMP, DHCP, DNS, QoS, UPnP, IGMP, LLDP, SRTP |
| SDK/Integration | ONVIF S/G/T, SUNAPI, Wisenet WAVE, SSM, Genetec, Milestone, AutoVu |
| Cybersecurity | Secure boot, encrypted firmware, signed firmware, SRTP, HTTPS, 802.1X, AES-256 SD card encryption |
| Analytics Engine | Wisenet Road AI (CNN) |
| Analytics Features | LPR/ANPR, MMCR (Make/Model/Color), Black/White classification, SmartSearch, tampering, defocus, sound classification, shock detection |
| Lane Coverage | Up to 2 lanes (NA), up to 3 lanes (EU) |
| Vehicle Recognition Library | 100+ makes, 4700+ models, 11 colors |
| Speed Support | Up to 110 km/h (region-dependent) |
| Supported Regions | NA, EU, APAC, Middle East, LATAM, Africa |
| Edge Storage | MicroSD/SDHC/SDXC (preinstalled 32GB) |
| Alarm I/O | 1 input / 1 output |
| Operating Temperature | –40°C to +55°C (startup above –30°C) |
| Storage Temperature | –50°C to +60°C |
| Humidity | 0–90% (non-condensing) |
| Power Input | PoE+ (IEEE 802.3at Class 4), 12VDC |
| Power Consumption | PoE+: Max 20W; 12VDC: Max 18W |
| Material | Aluminum |
| Color | Dark grey |
| Dimensions | Ø91.0 × 368.6mm (3.58" × 14.51") |
| Weight | 2.48kg (5.47 lb) |
Payment & Security
Your payment information is processed securely, and we do not store credit card details or access your credit card information.
Return Policy (Short Summary)
We offer a 30-day return window for most unopened, factory-sealed items.
Returns must be authorized before shipping back and must include all original packaging and accessories. Opened or used items are not returnable unless defective.
Some products—such as custom orders, special-order items, audio gear, software, and LED video walls—are non-returnable. Non-defective returns may be subject to a 20–30% restocking fee, and customers are responsible for return shipping costs.
For damaged or incorrect items, please contact us immediately.
Trusted by
Trusted by enterprise and education leaders who need AV done right
Why Clients Choose AVENDOR for Pro AV Projects
A clear difference in expertise, service, and speed.
You may also like
