Dahua Technology IVS-GS8000-GU2-HW Handleiding
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IVS-GS8000-GU2-HW
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www.dahuasecurity.com
DHI-IVS-GS8000-GU2-HW
Dahua Comprehensive Analysis Intelligent Server
· Adopts advanced face deep learning algorithms and gives full play to
GPU parallel computing. With its algorithms, the device has enhanced
recognition capabilities and performs exceptionally well, raising the
bar in the industry.
· Tesla T4 intelligence analysis card with strong computing power.
· Performs intelligent analysis and compares tens of millions of pieces
of massive data from faces, vehicles and structured services.
· Arms the blocklist database which has millions of pieces of face data.
· A type of rack mount server with multiple built-in slots and modular
replacement that assist with changing the hardware.
· The system has cluster deployment and supports enhancing the
performance of clusters when servers are added based on the video
cloud distributed architecture.
· Supports algorithm storehouse.
RackServer Series | DHI-IVS-GS8000-GU2-HW
DHI-IVS-GS8000-GU2-HW Dahua Comprehensive Analysis Intelligent
Server is a back-end comprehensive analysis and comparison intelligent
server. It is compable with a wide range of analysis and comparison
soware, and extracts features and aributes from images and videos
of the faces and bodies of humans and of motor and non-motor
vehicles. It also provides funcons such as face detecon, face arming
and search by image.
System Overview
Target Classicaon
Classify targets including human, motor vehicles and non-motor vehicles.
Generate intelligent structured analysis on the live video, history video
(when using with the platform), and the video files that were uploaded
offline, and then extract structured information on the moving targets.
Motor Vehicle Detecon
Detects motor vehicles by a wide range of attributes such as type,
color, brand and plate number. It also detects both driver and co-driver
behaviors. For drivers, it detects when they are not wearing their
seatbelt, calling while driving and smoking. For co-drivers, it detects
when they are not wearing their seatbelt and carrying a baby. With
its advanced algorithm, it can also detect tissue boxes, sunshields,
pendants, perfume, cards and permits.
Non-motor Vehicle Detecon
Detects non-motor vehicles by a wide range of attributes such as type
and color. It can also detect the attributes of drivers such as gender,
age, hair style, the color of their top clothes, whether they are wearing
a hat and items belonging to them such as umbrellas, backpacks and
handbags.
Pedestrian Detecon
Detects pedestrians by a wide range of attributes such as gender, age,
hair style, the color of their top and bottom clothes, whether they
are wearing a hat and items belonging to them such as umbrellas,
backpacks and handbags.
Funcons
Face Detecon
Detects and analyzes face image streams by gender, age, expression,
glasses, mustache, face mask, opened and closed eyes, and opened
and closed mouths.
Face Modeling
Supports extracting attributes from face images.
Search by Image
Images can be used to search for information, and the search results
can be filtered by time and channel. The results are compared with
data on humans, motor vehicles and non-motor vehicles in the
database, and the matches are displayed based on their similarity level.
Face Arming
Compares the face snapshot against a designated face database to get
information on the first person that exceeds the arming threshold.
Advanced Architecture
The system has clustered deployment and dynamic performance
extension capabilities that are based on video cloud distributed
architecture.
It's widely used for checkpoint, entrance and and other places that
require video surveillance. It is suitable for a variety of scenes such as
government, schools, airports, police staons, and more.
Scene
www.dahuasecurity.com
Technical Specicaon
System
Main Processor
Two 16 C/32 T X86 processors, 2.1 GHz
GPU
Supports Four NVIDIA TESLA T4 GPUs (the GPU card is
oponal, and the following funcons are available with
the GPU card and relevant soware permission).
Operang System
CentOS Linux release 7.4.1708 (Core)
Memory
Eight 16 GB DDR4 memory modules with up to 24 slots
Disk
Five 3.5"4 TB HDD which can be expanded to maximum
32 TB (each HDD is 4T) with up to 8 slots.
7.2K RPM SATA 6 Gbps 512n 3.5"
Face Analytics
Face Detecon
Detects and analyzes face image streams by gender, age,
expression, glasses, mustache, face mask, opened and
closed eyes, and opened and closed mouths.
Face Modeling
Supports extracng aributes from face images.
Face Arm
Compares the face snapshot against a designated face
database to get informaon on the rst person that
exceeds the arming threshold.
History Alarm Records
Query
Quickly search for history records on arming alarms
to review informaon on alarms that were previously
triggered.
Management of Registered
Database
Manage and use mulple types of databases such as the
blocklist database, allowlist database, and stac database.
You can add, delete and modify these databases and their
members.
Search in Registered
Database
Quickly search for registered database members by name,
gender, date of birth and ID card number.
Search by Image in
Registered Database
Images can be used to search for informaon. The results
are compared with data on humans in the registered
database, and the matches are displayed based on their
similarity level.
Search in Snapshot
Database
Conveniently search for history records of passing persons
in the snapshot database.
Search by Image in
Snapshot Database
Images can be used to search for informaon, and the
search results can be ltered by me and channel.
The results are compared with data on humans in the
snapshot database, and the matches are displayed based
on their similarity level.
1V1
Supports 1V1 face comparison, and returns similarity
result.;One T4 card supports up to 75 mes/s (only in the
case of working with video cloud plaorm, and exclusive
use of hardware resources of single server)
The actual performance depends on the soware that the
server works with.
Cluster
Supports clusters (when it is set to work with the video
cloud plaorm)
Image Stream Analysis
Capability
One T4 card supports up to 200 face images/s.
The actual performance depends on the soware that the
server works with.
Blocklist/Allowlist
Database Arm
When a single server perform arming with CPU hardware,
it supports blocklist/allowlist database with 2 million data
and can real-me alarm of 100 face features/s
(The total number of databases in the video cloud
system≤200, the total number of members≤2 million,
the deployment threshold ≥80%, and exclusive use of
hardware resources)
The actual performance depends on the soware that the
server works with.
Search by Image
Up to 100 million face data (30 million in registered
database and 70 million in snapshot database by default)
Search by image and respond in seconds (only in the case
of working with video cloud plaorm, and exclusive use of
hardware resources of single server)
The actual performance depends on the soware that the
server works with.
Vehicle Analytics
Vehicle Recognition Mode
Recognizes the front and back of vehicles (supports
recognion of license plates from Brazil, and conguring
license plate recognion for other countries).
License Plate Color
Recognition
White, black, yellow, blue, and green
Vehicle Color Recognition
Recognizes a variety of colors such as white, orange, pink,
black, red, yellow, gray, blue, green, silver, brown and
purple
Vehicle Type Recognition
Supports large bus, heavy truck, medium truck, sedan,
van, truck, medium bus, SUV, MPV and pickup
Vehicle Attributes
Recognition
Recognizes vehicle aributes such as ssue boxes,
sunshields, pendants, perfume, cards and permits.
Safe Driving Behavior
Detection
For drivers, it detects when they are not wearing their
seatbelt, calling while driving and smoking.
For co-drivers, it detects when they are not wearing their
seatbelt and carrying a baby.
Target Detection
Supports vehicle recognion of incomplete snapshot
Image Stream Analysis
Capability
One T4 card supports up to 3 million image/day (pixel
from 2 MP to 9 MP)
The actual performance depends on the soware that the
server works with.
Vehicle Brand/Logo
Recognition
147 kinds
License Plate Recognition
License plate recognion with a minimum of 50 x 13
pixels is supported.
The actual performance depends on the soware that the
server works with.
License Plate Recognition
Rate
With normal light in the day and normal ll light at night,
resoluon ≥120 × 120, clear, disnguishable license plate.
License plate accuracy: ≥96%.
Vehicle Type Recognition
Rate
With normal light in the day and normal ll light at night,
resoluon ≥240 × 240, clear, disnguishable vehicles.
Vehicle type accuracy: ≥92%.
Vehicle Color Recognition
Rate
With normal light in the day and normal ll light at night,
resoluon ≥240 × 240, clear, disnguishable vehicles.
Vehicle color accuracy: ≥95%.
Safety Belts Recognition
Rate
≥85% (vehicle glass is clear)
The actual performance depends on the soware that the
server works with.
Recognition Rate of Driver
and Passenger Phone
Calling
≥80% (vehicle glass is clear)
The actual performance depends on the soware that the
server works with.
Search by Vehicle Picture
Images can be used to search for informaon, and the
search results can be ltered by me and channel. The
results are compared with data on motor vehicles in the
database, and the matches are displayed based on their
similarity level.
Search by Vehicle Picture Performance
Vehicle Search
One server supports up to 40 million data in snapshot
database, searching by image and responding in
seconds(only in the case of working with video cloud
plaorm, and exclusive use of hardware resources of
single server)
The actual performance depends on the soware that the
server works with.
Metadata Analytics
Target Classification
Classify targets including face, body, motor vehicles and
non-motor vehicles. Generate intelligent structured
analysis on the live video, history video (when using with
the plaorm), and the video les that were uploaded
oine, and then extract structured informaon on the
moving targets. (for face, only image can be viewed
without structured analysis).
RackServer Series | DHI-IVS-GS8000-GU2-HW
www.dahuasecurity.com
Motor Vehicle Detection
Detects motor vehicles by a wide range of aributes
such as type, color, brand and plate number(supports
recognion of license plates from Brazil, and conguring
license plate recognion for other countries).
Detects sunshield, not wearing seatbelt, calling, ornament
(pendant and ssue box).
Non-motor Vehicle
Detection
Detects pedestrians by a wide range of aributes such as
gender, age, hair style, their top and boom clothes and
color, non-motor vehicle type and color wearing a hat, hat
color, umbrella (canopy), umbrella (canopy) color, bag,
bag color, shoe type and color, vest, mask color, raincoat,
rearview mirror, truck, basket and direcon.
Pedestrian Detection
Detects pedestrians by a wide range of aributes such as
gender, age, hair style, their top and boom clothes and
color, wearing a hat, hat color, umbrella, umbrella color,
bag, bag color, shoe type and color, vest, mask color,
raincoat, cart, whether they are riding, and direcon.
Real-time Display
Displays the analysis results in real me, and display
humans, motor vehicles and non-motor vehicles in real
me with tracking boxes.
Search by Attribute
Intelligent search of human, motor vehicles and non-
motor vehicles by their aributes.
Search by Image
Images can be used to search for informaon, and the
search results can be ltered by me and channel. The
results are compared with data on humans, motor
vehicles and non-motor vehicles in the database, and the
matches are displayed based on their similarity level.
Video Recording Task
Generate intelligent structured analysis on history videos
(when using with the plaorm), extract structured
informaon on moving targets, and the video recording
task can be accelerated automacally.
Local Task
Generate a structured analysis of your uploaded local
video les, and extract informaon on moving targets,
and the local task can be accelerated automacally.
Display Tracks on the Map
Yes (when using with the plaorm)
Computing Node Cluster
Supports clusters (when it is set to work with the video
cloud plaorm)
Metadata Analytics Performance
Intelligent Video Stream
Supports real-me display of structured intelligent video
streaming, including target aributes, and displays up to
5 items at the same me. Pedestrians (age, gender, top
clothes and color, hat, umbrella and bag), vehicle (model,
brand, license plate and color)
Metadata Analytics
Performance
One T4 card supports up to 32-channel real-me 1080p
video analysis of moving target or 100 images/s (1080p)
metadata analysis of target or 3 million images/day
(1080p) structured analysis.
The actual performance depends on the soware that the
server works with.
Search by Image
Performance
One server supports up to 40 million data in snapshot
database, searching by image and responding in
seconds(only in the case of working with video cloud
plaorm, and exclusive use of hardware resources of
single server)
The actual performance depends on the soware that the
server works with.
Detection Rate of Moving
Target
With normal light in the day and normal ll light at night,
resoluon ≥40 × 80, clear, disnguishable pedestrians and
non-motor vehicles:
Detecon rate of pedestrians: ≥95%;
Detecon rate of non-motor vehicles: ≥95%;
With normal light in the day and normal ll light at night,
resoluon ≥120 × 120, clear, disnguishable motor
vehicles:
Detecon rate of motor vehicles: ≥95%.
The actual performance depends on the soware that the
server works with.
Pedestrian Recognition
Accuracy
With normal light in the day and normal ll light at
night, resoluon ≥80×160, clear and disnguishable
pedestrians:
Gender accuracy: ≥90%;
Hair style accuracy: ≥90%;
Clothes style and color accuracy: ≥90%;
Wearing accuracy: ≥90%;
Belongings accuracy: ≥90%.
The actual performance depends on the soware that the
server works with.
Recognition Accuracy of
Non-motor Vehicle
With normal light in the day and normal ll light at night,
resoluon ≥80×160, clear and disnguishable non-motor
vehicles:
Gender accuracy: ≥90%;
Hair style accuracy: ≥90%;
Clothes style and color accuracy: ≥90%;
Wearing accuracy: ≥90%;
Belongings accuracy: ≥90%;
Non-motor vehicle type accuracy: ≥90%.
The actual performance depends on the soware that the
server works with.
Vehicle Recognition
Accuracy
With normal light in the day and normal ll light at
night, resoluon ≥240×240, clear, disnguishable motor
vehicles:
Motor vehicle type accuracy: ≥92%;
Motor vehicle color accuracy: ≥90%;
Driver and passengers' safety belt accuracy: ≥85%;
Driver and passengers' phone call accuracy: ≥80%;
With normal light in the day and normal ll light at night,
resoluon width ≥120, clear, disnguishable number
plate:
plate accuracy: ≥96%;
plate color accuracy: ≥90%.
The actual performance depends on the soware that the
server works with.
Port
Network Port
2 × 10000/1000 MB self-adapve network ports
USB
2 × front USB3.0 ports and 3 × rear USB3.0 ports
VGA
2 × VGA ports
Others
1 × RJ-45 management network port
General
Power Supply
100–127 V/200–240 V, 50/60 Hz, 10 A/5 A
Power Redundancy
Dual
Power Consumption
≤ 800 W
Operating Temperature
10°C to 35°C (50°F to 95°F )
Operating Humidity
35%–80% (RH), maximum relave humidity is 90%(RH)
(40°C ).
Storage Temperature
–40°C to 60°C (–40°F to 140°F)
Storage Humidity
20%–93% (RH)
Gross Weight
35 kg (77.16 lb)
Net Weight
27.5 kg (60.63 lb)
Product Dimensions
87.1 mm × 447.6 mm × 735.0 mm (3.43" × 17.62" ×
28.94") (H × W × D)
Packaging Dimensions
273.0 mm × 754.0 mm × 1069.0 mm (10.74" × 29.68" ×
42.09") (H × W × D)
Installation
Standard 19'' rack installaon with guide rail
BTU
≤2729.7 Btu/h
Optional
Product Type
Hardware
RackServer Series | DHI-IVS-GS8000-GU2-HW
Product specificaties
| Merk: | Dahua Technology |
| Categorie: | Niet gecategoriseerd |
| Model: | IVS-GS8000-GU2-HW |
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