iDS-2CD7126G0-IZS

Up to 32 users

3 user levels: administrator, operator, and user

NAS (NFS, SMB/CIFS),Auto Network Replenishment (ANR),

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

Plug-in required live view: IE 10, IE 11,

Plug-in free live view: Chrome 57.0+, Firefox 52.0+, Edge 89+, Safari 11+,

Local service: Chrome 57.0+, Firefox 52.0+, Edge 89+

12 VDC ± 20%, 1.02 A, max. 12.4 W, two-core terminal block

24 VAC ± 20%, 0.49 A, max. 11.8 W, two-core terminal block

PoE: IEEE 802.3at, Type 2, Class 4, 42.5 V to 57 V, 0.22 A to 0.29 A, max. 12.5 W

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 2.5

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

2.8 to 12 mm: 30 m

8 to 32 mm: 50 m

50 Hz: 50 fps (1920 × 1080, 1280 × 960, 1280 × 720)

60 Hz: 60 fps (1920 × 1080, 1280 × 960, 1280 × 720)

50 Hz: 25 fps (704 × 576, 640 × 480)

60 Hz: 30 fps (704 × 480, 640 × 480)

50 Hz: 25 fps (1920 × 1080, 1280 × 720, 704 × 576, 640 × 480)

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

50 Hz: 25 fps (704 × 576, 640 × 480)

60 Hz: 30 fps (704 × 480, 640 × 480)

50 Hz: 25 fps (704 × 576, 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

FCC: 47 CFR Part 15, Subpart B,

CE-EMC: EN 55032: 2015, EN 61000-3-2:2019, EN 61000-3-3: 2013+A1:2019, EN 50130-4: 2011 +A1: 2014,

RCM: AS/NZS CISPR 32: 2015,

IC: ICES-003: Issue 7,

KC: KN32: 2015, KN35: 2015

UL: UL 62368-1,

CB: IEC 62368-1: 2014+A11,

CE-LVD: EN 62368-1: 2014/A11: 2017,

BIS: IS 13252 (Part 1): 2010/IEC 60950-1: 2005,

LOA: IEC/EN 60950-1

CE-RoHS: 2011/65/EU,

WEEE: 2012/19/EU,

Reach: Regulation (EC) No 1907/2006

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

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

Gets 7 face features,

Gets 13 human body features,

Gets 2 vehicle features,

Supports counting the number of line crossing targets by type, including human body, non-motor vehicle, motor vehicle,

Supports dynamic mosaic mask

Detects up to 120 faces simultaneously, captures up to 40 face pictures per frame simultaneously and uploads up to 10 face pictures per second,

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 pictures,

Supports best shot and quick shot for capture mode,

Supports dynamic mosaic mask,

Gets 7 face features

Up to 10 face libraries. 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)

Support combined event alarm triggering

Supports Multi-Dimension People Counting,

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

Supports real-time uploading and uploading by statistic cycle,

Supports generating daily, weekly, monthly or annually reports,

Supports dynamic deduplication based on face picture comparison, and can filter out the target with the same custom face pictures, same attributes, or filter out repeated invalid targets within the set time interval,

Supports face feature deduplication,

Supports people flow data replenishment

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

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.

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)

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

Supports 2 detection modes: absence detection, on/off duty detection

Supports parameter settings: person on duty, absence duration

Up to 4 models,

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