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HIKVISION 8MP DEEPINVIEW MOTO VARIFOCAL DOME
From its inception, Hikvision has demonstrated a relentless commitment to security through product development. Our rigorous adherence to security by design is reflected in our implementation of diverse security technologies throughout our product development lifecycle, encompassing terminal, data, application, network, and privacy protection.
Our utilization of these security measures not only complies with applicable local laws and safety regulations, but also fortifies the cyber security of our products, safeguarding your devices and data from malicious attacks.
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.
FEATURES:
SPECS:
2.8 to 12 mm, horizontal FOV 98.0° to 38.1°, vertical FOV 51.4° to 21.6°, diagonal FOV 118.0° to 44°
8 to 32 mm, horizontal FOV 37.0° to 15.0°, vertical FOV 21.0° to 9.0°, diagonal FOV 43.0° to 17.0°
Wide:
2.8 to 12 mm: D (Detect): 89.2 m, O (Observe): 35.4 m, R (Recognize): 17.8 m, I (Identify): 8.9 m
8 to 32 mm: D (Detect): 218.0 m, O (Observe): 86.5 m, R (Recognize): 43.6 m, I (Identify): 21.8 m
Tele:
2.8 to 12 mm: D (Detect): 220.0 m, O (Observe): 87.3 m, R (Recognize): 44.0 m, I (Identify): 22.0 m
8 to 32 mm: D (Detect): 580.0 m, O (Observe): 230.2 m, R (Recognize): 116.0 m, I (Identify): 58.0 m
Up to 4 models,
Model type: detection model, classification model, mixed model (detection model and classification model)
50 Hz: 25 fps (3840 × 2160, 3072 × 1728, 2560 × 1440, 1920 × 1080, 1280 × 720)
60 Hz: 30 fps (3840 × 2160, 3072 × 1728, 2560 × 1440, 1920 × 1080, 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
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+
1 input (line in), 3.5 mm connector, three-contact, max. input amplitude: 3.3 Vpp, input impedance: 4.7 KΩ, interface type: non-equilibrium,
1 output (line out), 3.5 mm connector, three-contact, max. output amplitude: 3.3 Vpp, output impedance: 100 Ω, interface type: non-equilibrium, mono sound
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
12 VDC ± 25%, 0.97 A, max. 11.43 W,three-core terminal block,reverse polarity protection,
24 VAC +24.9%/-25%, 0.73 A, max. 10.67 W,
PoE: IEEE 802.3at, Type 2, Class 4, 42.5 V to 57 V, 0.19 A to 0.28 A, max. 11.92 W
With -H: -40 °C to 60 °C (-40 °F to 140 °F). Humidity 95% or less (non-condensing),
Without -H: -30 °C to 60 °C (-22 °F to 140 °F). Humidity 95% or less (non-condensing)
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, EN50121-4,
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
2 - 3 DAY NATIONWIDE DELIVERY
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