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Hanwha XNO-C7083R security camera Bullet IP security camera Indoor & outdoor 2592 x 1520 pixels Ceiling/wall
SKU
XNO-C7083R
£746.70
£622.25
In stock
H.265/H.264, 1/30 sec, 30IRE, IP66, IP67, NEMA4X, IK10, WDR, White
- Day & Night (ICR), extremeWDR
- WiseNRⅡ(Based on AI engine), WiseStreamⅢ (Based on AI engine)
- Analytics events based on AI engine (NPU) : Object detection (Person/Face/Vehicle - car, truck, bus, bicycle, motorcycle/License plate)
- Analytics events : Defocus detection, Motion detection, Tampering, Fog detection Audio detection, Sound classification, Shock detection, Appear/Disappear
- IP66, IP67, NEMA4X, IK10
Category: Security Cameras
| Sensor type | CMOS |
|---|---|
| Wi-Fi | No |
| Ethernet LAN | Yes |
| Mounting type | Ceiling/Wall |
| SKU | XNO-C7083R |
| EAN | 8801089207913 |
| Manufacturer | HANWHA |
| Availability | Y |
Reducing False alarm based on AI
The new X series cameras utilize AI to detect and classify people, vehicles, faces, license plates and more in real-time. 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. Analytics become a reliable second pair of eyes to operators helping them know where to look for important real-time events, while making post-event forensic searches highly efficient.
AI-based object detection for operational efficiency
Metadata including information (person, face, vehicle, license plate) is sent to the backend server and used to extract information on specific events. Operators are able to search AI events on the backend server. This greatly enhances search efficiency and reduces time spent on searching events. Also it can be reducing false alarm when operators were monitoring scene.
Reducing False alarm based on AI
The new X series cameras utilize AI to detect and classify people, vehicles, faces, license plates and more in real-time. 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. Analytics become a reliable second pair of eyes to operators helping them know where to look for important real-time events, while making post-event forensic searches highly efficient.
AI-based object detection for operational efficiency
Metadata including information (person, face, vehicle, license plate) is sent to the backend server and used to extract information on specific events. Operators are able to search AI events on the backend server. This greatly enhances search efficiency and reduces time spent on searching events. Also it can be reducing false alarm when operators were monitoring scene.
AI-based WiseNRII and Prefer Shutter Control
WiseNRII is a new enhancement which utilizes AI to identify object movement and reduce blur in noisy, low light environments. AI-based Preferred Shutter technology automatically adjusts the shutter speed based on classified objects in motion and the lighting conditions in a scene to reduce motion blur and deliver the clearest images.
AI-based Image Optimization, WiseStreamⅢ
By utilizing the results of AI-based object detection, WiseStreamIII technology adjusts the video encoder to focus maximum video quality on the detected objects in a scene while scaling back encoding on the rest of the scene.
The new X series cameras utilize AI to detect and classify people, vehicles, faces, license plates and more in real-time. 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. Analytics become a reliable second pair of eyes to operators helping them know where to look for important real-time events, while making post-event forensic searches highly efficient.
AI-based object detection for operational efficiency
Metadata including information (person, face, vehicle, license plate) is sent to the backend server and used to extract information on specific events. Operators are able to search AI events on the backend server. This greatly enhances search efficiency and reduces time spent on searching events. Also it can be reducing false alarm when operators were monitoring scene.
Reducing False alarm based on AI
The new X series cameras utilize AI to detect and classify people, vehicles, faces, license plates and more in real-time. 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. Analytics become a reliable second pair of eyes to operators helping them know where to look for important real-time events, while making post-event forensic searches highly efficient.
AI-based object detection for operational efficiency
Metadata including information (person, face, vehicle, license plate) is sent to the backend server and used to extract information on specific events. Operators are able to search AI events on the backend server. This greatly enhances search efficiency and reduces time spent on searching events. Also it can be reducing false alarm when operators were monitoring scene.
AI-based WiseNRII and Prefer Shutter Control
WiseNRII is a new enhancement which utilizes AI to identify object movement and reduce blur in noisy, low light environments. AI-based Preferred Shutter technology automatically adjusts the shutter speed based on classified objects in motion and the lighting conditions in a scene to reduce motion blur and deliver the clearest images.
AI-based Image Optimization, WiseStreamⅢ
By utilizing the results of AI-based object detection, WiseStreamIII technology adjusts the video encoder to focus maximum video quality on the detected objects in a scene while scaling back encoding on the rest of the scene.
| Performance | |
|---|---|
| Type | IP security camera |
| Connectivity technology | Wired |
| Placement supported | Indoor & outdoor |
| Wide Dynamic Range (WDR) | Yes |
| Day/night mode | Yes |
| Dynamic range | 120 dB |
| Design | |
| IK code | IK10 |
| Form factor | Bullet |
| Product colour | White |
| Mounting type | Ceiling/wall |
| International Protection (IP) code | IP66, IP67 |
| Camera | |
| White balance | ATW, AWC, Indoor, Manual, Outdoor |
| Lens viewing angle, horizontal | 109.7° |
| Lens viewing angle, vertical | 60.8° |
| Lens viewing angle, diagonal | 131.3° |
| Progressive scan | Yes |
| Image sensor | |
| Sensor type | CMOS |
| Progressive scan | Yes |
| Optical sensor size | 25.4 / 2.8 mm (1 / 2.8") |
| Lens system | |
| Number of lenses | 1 |
| Zoom capability | Yes |
| Focal length range | 2.8 - 10 mm |
| Night vision | |
| Night vision | Yes |
| Night vision distance | 40 m |
| LED type | IR |
| Video | |
| Noise reduction | Yes |
| Image stabilizer | Yes |
| Maximum resolution | 2592 x 1520 pixels |
| Frame rate | 60 fps |
| Video streaming | Yes |
| Total megapixels | 4 MP |
| Video recording | Yes |
| Network | |
|---|---|
| Bluetooth | No |
| Streaming method | Multicast, Unicast |
| Ethernet LAN | Yes |
| Wi-Fi | No |
| Storage | |
| Maximum memory card size | 512 GB |
| Card reader integrated | Yes |
| Built-in HDD | No |
| Compatible memory cards | MicroSD (TransFlash), MicroSDHC, MicroSDXC |
| Internal memory | 2000 MB |
| Flash memory | 512 MB |
| Ports & interfaces | |
| Ethernet LAN (RJ-45) ports | 1 |
| Connectivity technology | Wired |
| Security | |
| Security algorithms | EAP-LEAP, EAP-PEAP, EAP-TLS, HTTPS |
| IP address filtering | Yes |
| Anti-flicker | Yes |
| Power | |
| Power source type | DC, PoE |
| Power consumption (max) | 13.2 W |
| Power consumption (Power over Ethernet (PoE)) | 12.95 W |
| Power consumption (typical) | 10.8 W |
| DC output voltage | 12 |
| Operational conditions | |
| Operating temperature (T-T) | -50 - 55 °C |
| Storage temperature (T-T) | -50 - 60 °C |
| Weight & dimensions | |
| Width | 93.4 mm |
| Height | 93.4 mm |
| Diameter | 9.34 cm |
| Weight | 2.2 kg |
| Packaging content | |
| Number of cameras | 1 |
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Reducing False alarm based on AI
The new X series cameras utilize AI to detect and classify people, vehicles, faces, license plates and more in real-time. 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. Analytics become a reliable second pair of eyes to operators helping them know where to look for important real-time events, while making post-event forensic searches highly efficient. AI-based object detection for operational efficiency Metadata including information (person, face, vehicle, license plate) is sent to the backend server and used to extract information on specific events. Operators are able to search AI events on the backend server. This greatly enhances search efficiency and reduces time spent on searching events. Also it can be reducing false alarm when operators were monitoring scene. Reducing False alarm based on AI The new X series cameras utilize AI to detect and classify people, vehicles, faces, license plates and more in real-time. 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. Analytics become a reliable second pair of eyes to operators helping them know where to look for important real-time events, while making post-event forensic searches highly efficient. AI-based object detection for operational efficiency Metadata including information (person, face, vehicle, license plate) is sent to the backend server and used to extract information on specific events. Operators are able to search AI events on the backend server. This greatly enhances search efficiency and reduces time spent on searching events. Also it can be reducing false alarm when operators were monitoring scene. AI-based WiseNRII and Prefer Shutter Control WiseNRII is a new enhancement which utilizes AI to identify object movement and reduce blur in noisy, low light environments. AI-based Preferred Shutter technology automatically adjusts the shutter speed based on classified objects in motion and the lighting conditions in a scene to reduce motion blur and deliver the clearest images. AI-based Image Optimization, WiseStreamⅢ By utilizing the results of AI-based object detection, WiseStreamIII technology adjusts the video encoder to focus maximum video quality on the detected objects in a scene while scaling back encoding on the rest of the scene. |
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