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Together for a Sustainable Future: Dahua Showcases Smart City Solutions at Smart City Expo World Congress (SCEWC) 2025

2025-11-12

Together for a Sustainable Future: Dahua Showcases Smart City Solutions at Smart City Expo World Congress (SCEWC) 2025

IVS-GS8000-6E-Z2-TS2-HW

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IVS-GS8000-6E-Z2-TS2-HW

Dahua Comprehensive Analysis Intelligent Server

Key Points
    Full Comprehensive Analysis Intelligent Server
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Datasheet

Specifications

System

Main Processor Two 16 C/32 T X86 processors, 2.4 GHz
GPU Six AIX3300-A intelligent analysis cards are pre-installed in the device. The following functions are available with the intelligent analysis card and relevant software license.
Operating System Linux OS
Memory Four 32 GB DDR4 memory modules with up to 32 slots
Disk Two 2.5" 480 GB SSD and four 3.5" 4 TB HHD with up to 8 slots.

Face Analytics Function

Face Detection 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.
1V1 Supports 1V1 face comparison, and returns similarity result.
Cluster Supports clusters (when it is set to work with the video cloud platform)

Face Analytics Performance

Image Stream Analysis Capability One AIX3300-A card supports processing up to 200 face images per second.
1V1 One AIX3300-A card supports processing data up to 75 times/sec.

Vehicle Analytics

Vehicle Recognition Mode Recognizes the front and back of vehicles. Supports recognition of license plates from Brazil and the Middle East, and configuring license plate recognition 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 attributes such as tissue 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 recognition of incomplete snapshot
Image Stream Analysis Capability One AIX3300-A card supports processing up to 3 million images/day in 2 MP to 9 MP.
Vehicle Brand/Logo Recognition 147 kinds
License Plate Recognition License plate recognition with a minimum of 50 x 13 pixels is supported.
License Plate Recognition Rate The license plate is clear and distinguishable when the width of the resolution is ≥120 and the environment has normal lighting in the daytime and a fill light at night.
License plate recognition accuracy: ≥96%.
This figure is subject to actual testing.
Vehicle Type Recognition Rate The vehicle type is clear and distinguishable when the resolution is ≥240 × 240 and the environment has normal lighting in the daytime and a fill light at night.
Vehicle type recognition accuracy: ≥92%.
This figure is subject to actual testing.
Vehicle Color Recognition Rate The vehicle color is clear and distinguishable when the resolution is ≥240 × 240 and the environment has normal lighting in the daytime and a fill light at night.
Vehicle color recognition accuracy: ≥95%.
This figure is subject to actual testing.
Safety Belts Recognition Rate When the vehicle glass is clear, the recognition rate for safety belts is ≥85%. This figure is subject to actual testing.
Recognition Rate of Driver and Passenger Phone Calling When the vehicle glass is clear, recognition rate of driver and passenger phone calling is ≥85%. This figure is subject to actual testing.

Metadata Analytics

Target Classification Classifies targets including faces, bodies, motor vehicles, and non-motor vehicles. It generates metadata analyses for live videos and historical videos when used with the platform, as well as for video files uploaded offline. Additionally, it extracts metadata from moving targets. However, face images are generated without metadata.
Motor Vehicle Detection Detects motor vehicles by a wide range of attributes such as type, color, brand and plate number. Supports recognition of license plates from Brazil and the Middle East, and configuring license plate recognition for other countries. Detects sunshield, not wearing seatbelt, calling, and ornaments such as pendants and tissue boxes.
Non-motor Vehicle Detection Detects riders by a wide range of attributes such as gender, age, hair style, their top and bottom 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 direction.
Pedestrian Detection Detects pedestrians by a wide range of attributes such as gender, age, hair style, their top and bottom 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 direction.
Real-time Display Displays the analysis results in real time, and display humans, motor vehicles and non-motor vehicles in real time with tracking boxes.
Search by Attribute Intelligent search of human, motor vehicles and non-motor vehicles by their attributes.
Video Recording Task Generates metadata analyses of historical videos when used with the platform. It extracts metadata on moving targets, and automatically accelerates the analysis tasks of video recordings.
Local Task Generates the metadata analysis of the local video files uploaded offline. It extracts metadata on moving targets, and automatically accelerates the analysis tasks of local videos.
Display Tracks on the Map Yes (when using with the platform)
Computing Node Cluster Supports clusters (when it is set to work with the video cloud platform)

Metadata Analytics Performance

Intelligent Video Stream Supports real-time display of structured intelligent video streaming, including target attributes, and displays up to 5 items at the same time. Pedestrians (age, gender, top clothes and color, hat, umbrella and bag), vehicle (model, brand, license plate and color)
Metadata Analytics Performance AIX3300-A card (The following information is for a single card)
• Performs video analysis of moving targets through up to 80 channels in 1080p.
• In performing metadata analysis of targets, it can process up to 100 images/sec or 3 million images/day in 1080p.
Detection Rate of Moving Target The pedestrians and non-motor vehicles are clear and distinguishable when the resolution is ≥40 × 80 and the environment has normal lighting in the daytime and a fill light at night.
• Detection rate of pedestrians: ≥95%
• Detection rate of non-motor vehicles: ≥95%
The motor vehicles are clear and distinguishable when the resolution is ≥120 × 120 and the environment has normal lighting in the daytime and a fill light at night.
• Detection rate of motor vehicles: ≥95%.
These figures are subject to actual testing.
Pedestrian Recognition Accuracy The pedestrians are clear and distinguishable when the resolution is ≥80×160 and the environment has normal lighting in the daytime and a fill light at night.
• Gender accuracy: ≥90%
• Hair style accuracy: ≥90%
• Clothes style and color accuracy: ≥90%
• Wearing accuracy: ≥90%
• Belongings accuracy: ≥90%
These figures are subject to actual testing.
Recognition Accuracy of Non-motor Vehicle The non-motor vehicles are clear and distinguishable when the resolution is ≥80 × 160 and the environment has normal lighting in the daytime and a fill light at night.
• 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%
These figures are subject to actual testing.
Vehicle Recognition Accuracy The motor vehicles are clear and distinguishable when the resolution is ≥240× 240 and the environment has normal lighting in the daytime and a fill light at night.
• Motor vehicle type accuracy: ≥92%
• Motor vehicle color accuracy: ≥90%
• Driver and passengers' safety belt accuracy: ≥85%
• Driver and passengers' phone call accuracy: ≥80%
The license plate is clear and distinguishable when the resolution width is ≥120 and the environment has normal lighting in the daytime and a fill light at night.
• Plate accuracy: ≥96%;
• Plate color accuracy: ≥90%.
These figures are subject to actual testing.

Port

Network Port 4 × 1000 Mbps self-adaptive network ports
USB 2 × front USB2.0 ports and 2 × rear USB3.0 ports
VGA 1 × VGA port
Others 1 × RJ-45 management network port

General

Power Supply 100–127/200–240 VAC, 60/50 Hz, 12/8 A
Power Redundancy Dual
Power Consumption Working (all HDDs connected, with 6 AIX3300-A cards): ≤1,080 W (3,685 BTU/h)
Operating Temperature +10 °C to +35 °C (+50 °F to +95 °F)
Operating Humidity 20%–80% (RH), non-condensing
Storage Temperature –40 °C to +60 °C (–40 °F to +140 °F)
Storage Humidity 5%–95% (RH), non-condensing
Gross Weight 30.18 kg (66.54 lb)
Net Weight 24.13 kg (53.20 lb)
Product Dimensions 794.0 mm × 446.0 mm × 87.8 mm (31.26" × 17.56" × 3.46") (D × W × H)
Packaging Dimensions 1000 mm × 600 mm × 260 mm (39.37" × 23.62" × 10.24") (D × W × H)
Installation Standard 19" rack installation with guide rail
Certifications CE-EMC:
• EN 55032:2015
• EN 55032:2015/A11:2020
• EN 55032:2015/A1:2020
• EN 55035:2017
• EN 55035:2017/A11:2020
• EN 61000-3-3:2013/A2:2021
• EN IEC 61000-3-2:2019/A1:2021
• IEC 61000-4-2:2008
• IEC 61000-4-3:2020
• IEC 61000-4-4:2012
• IEC 61000-4-5:2014/AMD1:2017
• IEC 61000-4-6:2023
• IEC 61000-4-8:2009
• IEC 61000-4-11:2020/COR2:2022
CE-LVD:
• EN IEC 62368-1:2020+A11:2020
• BS EN IEC 62368-1:2020+A11:2020

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