Hikvision iDS-2CD7126G0-IZS 2MP DeepinView Varifocal Camera
KES 75,000 | NEW | In stock
Hikvision iDS-2CD7126G0-IZS 2MP DeepinView Varifocal Camera
High quality imaging with 2 MP resolution
Excellent low-light performance via DarkFighter technology
Clear imaging against strong back light thanks to LightFighter technology
Intelligent functions based on deep learning
Efficient H.265+ compression technology to save bandwidth and storage
Advanced streaming technology enables smooth live view and data self-correction in poor networks
5 streams and up to 5 custom streams to meet a wide variety of applications
6 behavior analyses, 3 exception detection, and face detection
Vandal proof (IK10).
Hikvision iDS-2CD7126G0-IZS 2MP DeepinView Varifocal Camera
Hikvision has been dedicated to develop products with security since established. It always follows security by design principle and has adopted many methods of security technologies into our product development lifecycle, including terminal security, data security, application security, network security, and privacy protection. In the meantime, the security technologies used by Hikvision are all in compliance with local applicable laws and safety regulations. These security measures could enhance product’s cyber security protection capability and protect your devices as well as your data from malicious cyber attacks.
Features
Function
Face Capture
With embedded deep learning based algorithms, the camera is able to give the best shot of a target face through detecting, capturing, grading and selecting. The camera uses face exposure function to dynamically adjust face area exposure of captures and ensures high face picture quality.
Perimeter Protection
With embedded deep learning based target detection and classification algorithms, the camera carries out the duty of perimeter protection, monitoring the actions of line crossing, intrusion, region entrance, and region exiting. The algorithms greatly filter out the mistaken alarm caused by the interference of leafs, lights, animal, flag, etc.
Multi-Target-Type Detection
With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the specified region.
Queue Management
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. It can generate reports to compare the efficiency of different queuing-ups and display the changing status of one queue, and supports raw data export for further analysis.
Regional People Counting
With the embedded deep learning algorithms, the camera supports people density detection and will upload detection data through scheduled uploading, number of people change uploading and congestion level uploading. It also supports number of people exception detection and waiting time exception detection.
On/Off Duty Detection
With the embedded deep learning algorithms, the camera supports absence detection and on/off duty detection. It can detect the on/off duty status and people number changes in a predefined area.
Heat Map
The camera can generate a graphic description of visits (by calculating amount of people or amount of dwell time) in a configured area.
Multi-Dimension People Counting
With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and compares them with the built-in face picture library to remove duplicates. It counts persons and reports an alarm simultaneously to achieve both the entrance control and people counting.
Hard Hat Detection
With the embedded deep learning algorithms, the camera detects the persons in the specified region. It detects whether the person is wearing a hard hat, and reports an alarm if not.
Specification
Specification
Camera
Image Sensor 1/1.8″ Progressive Scan CMOS
Max. Resolution 1920 × 1080
Min. Illumination Color: 0.0005 Lux @ (F1.2, AGC ON); B/W: 0.0001 Lux @ (F1.2, AGC ON), 0 Lux with IR
Shutter Time 1 s to 1/100,000 s
Day ＆ Night IR cut filter
Blue glass module to reduce ghost phenomenon
Angle Adjustment Pan: 0° to 355°, tilt: 0° to 75°, rotate: 0° to 355°
Lens
Focal Length ＆ FOV
2.8 to 12 mm, horizontal FOV: 114.5° to 41.8°, vertical FOV: 59.3° to 23.6°, diagonal FOV: 141.1° to 48°
8 to 32 mm, horizontal FOV: 42.5° to 15.1°, vertical FOV: 23.3° to 8.64°, diagonal FOV:
49.6° to 17.3°
Focus Auto,Semi-auto,Manual
Iris Type P-iris
Aperture 2.8 to 12 mm: F1.2 to 2.5
8 to 32 mm: F1.7 to F1.73
DORI
DORI
Wide:
2.8 to 12 mm: D (Detect): 45 m, O (Observe): 17.9 m, R (Recognize): 9 m, I (Identify):
4.5 m
8 to 32 mm: D (Detect): 112.7 m, O (Observe): 44.8 m, R (Recognize): 22.6 m, I (Identify): 11.3 m
Tele:
2.8 to 12 mm: D (Detect): 111.8 m, O (Observe): 44.3 m, R (Recognize): 22.4 m, I (Identify): 11.2 m
8 to 32 mm: D (Detect): 300 m, O (Observe): 119.0 m, R (Recognize): 60 m, I (Identify):
30 m
Illuminator
Supplement Light Type IR
Supplement Light Range 2.8 to 12 mm: 30 m
8 to 32 mm: 50 m
Smart Supplement Light Yes
IR Wavelength 850 nm
AI Open Platform
Model Specification
Up to 4 models,
Model type: detection model, classification model, mixed model (detection model and classification model)
Video
Main Stream 50 Hz: 50 fps (1920 × 1080, 1280 × 960, 1280 × 720)
60 Hz: 60 fps (1920 × 1080, 1280 × 960, 1280 × 720)
Sub-Stream 50 Hz: 25 fps (704 × 576, 640 × 480)
60 Hz: 30 fps (704 × 480, 640 × 480)
Third Stream 50 Hz: 25 fps (1920 × 1080, 1280 × 720, 704 × 576, 640 × 480)
60 Hz: 30 fps (1920 × 1080, 1280 × 720, 704 × 480, 640 × 480)