IR cut filter

Blue glass module to reduce ghost phenomenon

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°

2.8 to 12 mm: F1.2 to F2.5

8 to 32 mm: F1.7 to F1.73

Wide:

2.8 to 12 mm: D: 60 m, O: 23.8 m, R: 12 m, I: 6 m

8 to 32 mm: 150.3 m, O: 59.7 m, R: 30.1 m, I: 15 m

Tele:

2.8 to 12 mm: D: 149 m, O: 59.1 m, R: 29.8 m, I: 14.9 m

8 to 32 mm: D: 400 m, O: 158.7 m, R: 80 m, I: 40 m

2.8 to 12 mm: 30 m

8 to 32 mm: 50 m

Up to 4 models,

Model type: detection model, classification model, mixed model (detection model and classification model)

50 Hz: 50 fps (2560 × 1440, 1920 × 1080, 1280 × 720)

60 Hz: 60 fps (2560 × 1440, 1920 × 1080, 1280 × 720)

50 Hz: 25 fps (704 × 480, 640 × 480)

60 Hz: 30 fps (704 × 480, 640 × 480)

50 Hz: 25 fps (1920 × 1080, 1280 × 720, 704 × 480, 640 × 480)

60 Hz: 30 fps (1920 × 1080, 1280 × 720, 704 × 480, 640 × 480)

50 Hz: 25 fps (704 × 480, 640 × 480)

60 Hz: 30 fps (704 × 480, 640 × 480)

50 Hz: 25 fps (704 × 480, 640 × 480)

60 Hz: 30 fps (704 × 480, 640 × 480)

Main stream: H.265+/H.265/H.264+/H.264,

Sub-stream: H.265/H.264/MJPEG,

Third stream: H.265/H.264,

Fourth stream: H.265/H.264/MJPEG,

Fifth stream: H.265/H.264/MJPEG

NAS (NFS, SMB/CIFS), auto network replenishment (ANR)

Together with high-end Hikvision memory card, memory card encryption and health detection are supported.

Up to 32 users

3 user levels: administrator, operator, and user

Plug-in required live view: IE9+, Chrome 41.0 to 44, Firefox 30.0 to 51, Safari 8.0 to 11

Plug-in free live view: Chrome 45.0+, Firefox 52.0+

Not recommended: Safari 11+, Edge

Supports simultaneous detection and capture of human body, face and vehicle

Gets 7 face features, 13 human body features and 2 vehicle features

1. Detects up to 60 faces simultaneously

2. Supports swing left and right from -60° to 60°, tilt up and down from -30° to 30°

3. Uploads face with background and closed-up face pictures

Up to 10 face libraries. Up to 30,000 faces for each library. 150,000 faces in total.

Supports face library encryption

Line crossing, intrusion, region entrance, region exiting

Support alarm triggering by specified target types (human and vehicle)

A graphic description of visits (by calculating amount of people or amount of dwell time) in a configured area.,

Two report types are available, space heat map and time heat map line chart.

Supports up to 8 detection regions, and independent arming schedule and linkage method

Supports 2 detection modes: regional people queuing-up, waiting time detection

Generates reports to compare the efficiency of different queuing-ups and display the changing status of one queue

Supports raw data export for further analysis.

Supports real-time data uploading and scheduled data uploading

Regional people queuing-up: supports 4 alarm trigger conditions, including greater than threshold, less than threshold, equal to threshold, not equal to threshold

Waiting time detection: supports 1 alarm trigger condition, including greater than threshold

Supports crossline people counting.,

Supports counting, displaying and exporting the people flow data of entering and exiting. (The data is stored in the flash.),

The real-time people flow data is displayed on the screen. ,

Supports swing left and right from -60° to 60°, tilt up and down from -30° to 30°.,

Uploads face with background and closed-up face picture.,

Supports real-time uploading and uploading by statistic cycle

Detects up to 30 human targets simultaneously

Supports up to 4 shield regions

Supports up to 8 detection regions, and independent arming schedule and linkage method

Supports 3 detection modes: people density detection, number of people exception detection, waiting time exception detection

Supports parameter settings: alarm times per exception, alarm interval, first alarm delay

Supports searching real-time number of people

People density detection: supports scheduled uploading, number of people change uploading, congestion level uploading

Number of people exception detection: supports 6 alarm trigger conditions, including greater than threshold A, less than threshold A, equal to threshold A, not equal to threshold A, greater than threshold A and less than threshold B, less than threshold A or greater than threshold B (threshold A should be less than threshold B)

Waiting time exception detection: supports 3 alarm trigger conditions, including greater than threshold A, less than threshold A, greater than threshold A and less than threshold B (threshold A should be less than threshold B)