HikVision Face Recognition & HikCentral Pro Software License
- People Counting Solution
- Visitor Management Solution
- Temperature Screening Solution
- Access Control & InterCom
- Video Wall Solution
- Parking Management Solution
- People Density Analysis
- Search People Features
- Multi Target Detection Alarm
- OpenAPI for Video , Alarm , Event , ANPR , Resource , Access Control
HikCentral Pro provides a video management system, evidence management, smart wall, intelligent Analysis, access control, video intercom, security control, time & attendance, deep learning-based module and entrance/exit management, etc. It features for medium and large size application scenarios.
HikVision HikCentral Professional Your Integrated Security Solution
THE ERA OF FACE RECOGNITION
Authorized access has come a long way from using keys, pin codes, cards, and fingerprints. We now find ourselves stepping into the era of face recognition.
The use of face recognition in access control and time attendance has been an inevitable trend, which creates advantageous “touch-free” experience. With advanced deep learning technology and practical functions, Hikvision MinMoe Face Recognition Terminals bring better security and improved efficiency to access control and time attendance tracking, making them easier than ever!
Hikvision Face Recognition Terminal
HikVision IP Camera Product for Face Recognition Solution
4MP DeepinView Moto Varifocal Bullet Camera
- High quality imaging with 4 MP resolution
- Excellent low-light performance via DarkFighter technology
- Clear imaging against strong back light due to 140 dB WDR 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
- Water and dust resistant (IP67) and vandal proof (IK10)
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.
With the embedded deep learning algorithms, the camera detects and captures the face and human body in the specified
region and outputs the features, such as gender, age and top color. It supports a structurized modeling of the face and
human body to achieve a structurized data collection.
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 uses individual instances of application data or the data content. Metadata can be used for third-party application
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.
The camera adopts high weatherproof and wearproof molding powder that confirms to AAMA2604-02 and Qualicoat (Class2) specifications, and uses two-layer special spraying technology, so its surface has excellent long-term anti-corrosion
performance and physical protection function. Besides, all the exposed screws use SUS316 material and features high
anti-corrosion performance. Therefore, the whole camera meets anti-corrosion requirements NEMA 250-2018.
iDS-96064NXI-I16(B) DeepinMind Series NVR
Profession and Reliability
H.265+ compression effectively reduces the storage space by up to 75%
Adopt professional embedded hardware (Intel® processor) and software, and pioneering dual-OS design to ensure the reliability of system running.
Redundant power supply ensures system stability
ANR (Automatic Network Replenishment) technology enhances storage reliability when network exception occurs
Video and Storage
Compatible with third-party network cameras, such as ACTI, Arecont, AXIS, Bosch, Brickcom, Canon, ONVIF, PANASONIC, Pelco, SAMSUNG, SANYO, SONY, Vivotek and ZAVIO
16 SATA interfaces (up to 10 TB capacity per HDD) and 1 eSATA interface are provided for HDD connection
Network & Ethernet Access
4 self-adaptive 10M/100M/1000M Ethernet interfaces
Hik-Connect & DDNS (Dynamic Domain Name System) for easy network management
Live view and Playback
Up to 20-ch@1080p decoding for live view
Up to 16-ch synchronous playback at 1080p resolution
Dual 4K (4096 × 2160) HDMI outputs
Application and Management
Centralized management of network cameras, including configuration, information import/export, real-time information
display, two-way audio, upgrade, etc.
Configurable network camera smart functions, such as VCA detection (motion, line crossing, intrusion, etc.), heat map,
ANPR, and people counting
Deep learning based video analytics for false alarm reduction, facial recognition and face picture comparison
VCA search for facial detection, false alarm reduction, people counting and heat map
Facial Recognition and Face Picture Comparison
Modeling and analyzing face pictures captured by cameras. Realize list alarm and stranger alarm via face picture library. Search target people by picture and name features.
Adopt deep learning algorithm to reduce false alarm, effectively reduces the false alarm caused by tree branches, leaves, shadow, light, vehicles, small animals, etc.
Extracting the face picture, human body and vehicle features from live videos, which is used for the tracking and retrieval of
human and vehicles.
64-ch 3U 4K DeepinMind Super NVR
- Up to 12-ch facial recognition for video stream, or up to 24-ch facial recognition for face picture
- Up to 12-ch video structuralization
- Up to 48-ch human and vehicle recognition of perimeter protection to reduce false alarms
- Up to 64-ch network camera inputs
- Up to 400 Mbps incoming and outgoing
- Up to 20-ch@1080p decoding capability
- 16 SATA interfaces (up to 10 TB capacity for each HDD)
- HDD hot swapping with RAID 0/1/5/6/10