High quality imaging with 12 MP resolution
Clear imaging against strong back light due to DWDR technology
Efficient H.265+ compression technology to save bandwidth and storage
Advanced streaming technology that enables smooth live view and data self-correcting in poor network
5 streams and up to 5 custom streams to meet a wide variety of applications
Vandal proof (IK10)
Hikvision has been dedicated to develop products with security since established. Hikvision 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.
Image Sensor
1/1.7" Progressive Scan CMOS
Max. Resolution
4000 × 3000
Min. Illumination
Color: 0.009 Lux @ (F1.2, AGC ON); B/W: 0.0009 Lux @ (F1.2, AGC ON)
Shutter Time
1 s to 1/100,000 s
Day & Night
IR cut filter
Angle Adjustment
Pan: 0° to 355°, tilt: 0° to 75°, rotate: 0° to 355°
Lens
Focus
Auto, semi-auto, manual
Focal Length & FOV
2.8 to 12 mm, horizontal FOV 96° to 46.2°, vertical FOV 69.2° to 27.2°, diagonal FOV 131° to 45.2°
8 to 32 mm, horizontal FOV 37.8° to 13.6°, vertical FOV 27.8° to 10.3°, diagonal FOV 48.6° to 17.4°
Brand:
Hikvision
Function
Face Counting
With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and samples
the face features simultaneously, and compares them with the built-in face library, so to remove the duplicated person. It
counts persons and reports a face 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 captures the head of the person and reports an alarm if not.
Multi-Target-Type Detection
With the embedded deep learning algorithms, the camera detects and captures the face and human body in the specified
region. It supports a structurized modeling of the face and human body to achieve a structurized data collection.
Queue Management
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each
person. The body feature detection algorithm helps filter out wrong targets and increase the accuracy of detection.
Metadata
Metadata uses individual instances of application data or the data content. Metadata can be used for third-party
application development.
Smooth Streaming
Smooth streaming offers solutions to improve the video quality in different network conditions. For example, in poor
network conditions, adapting to the detected real-time network condition, streaming bit rate and resolution are
automatically adjusted to avoid mosaic and lower latency in live view; in multiplayer network conditions, the camera
transmits the redundant data for the self-error correcting in back-end device, so that to solve the mosaic problem because
of the packet loss and error rate.
