Shenzhen Taishou Intelligent Technology Co., Ltd
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TS-GFS Face Comparison Engine
TS-GFS Face Comparison Engine
Product details

Adopting the core patented facial recognition technology independently developed by Taishou, it supports real-time analysis of 8 high-definition videos, with a detection capacity of no less than 1000 people per second and features facial tracking, deduplicationOptimization function, capable of recognizing 50 people per second, with multiple functions such as tag library building, search, video search, static library search, etc. Used for stations, docks, communities, commercial squares, etcFor densely populated and important monitoring areas, new fixed high-definition monitoring points can be established or existing monitoring video data can be used for facial recognition warning, label establishment, post search, and other purposes.

Typical applications:



人脸识别服务器

4TA supercomputer host for floating-point operations that meets the requirements8Real time face detection in high-definition videos;

Equipped with facial tracking, deduplication, and optimization functions, meeting the requirement of no less than per second50The ability to recognize people;

Facial detection400people/Seconds, facial recognition500Template (expandable to)5010000 templates), facial tag library3000Ten thousand entries, facial search30Complete in seconds, identify other features (later)Continued upgrade implementation);

Four adaptive gigabit network ports;

Real time blacklist registration, modification, dynamic recognition warning, real-time push (WeChat, MMS optional), facial search, backend management.



Equipment form

Standard rack mounted2UThe server

processing capacity

support8Real time analysis of high-definition video on the road; The detection capability per second is not less than1000Number of people, with facial tracking, deduplication, and optimization functions, meeting the requirements of every second50The ability to recognize people, with multiple functions such as tag library building, search, video search, and static library search.

Hardware parameters

Computing resources: no less than XeonE5 8coreCPU 2One, no less than2500Main frequency800MThe aboveGUPComputing unit, satisfying8road1080pReal time full frame detection of faces, license plates, or traffic incidents in high-definition videos.

Storage resources:32G DDR4Memory,10TstorageREAD5.

Chassis structure: Standard rack mounted chassis, with dimensions not exceeding2U.

Minimum network environment requirements:1000M/10Gself-adaption

Redundant power supply: supports

Chassis: Compliant withEIA RS-310CThe standard chassis

Operating system support

Microsoft Windows Sever 2008/2012Red Hat Enterprise Linex

SUSE Linux Enterprise ServerCitrix XenServer VMware ESX

working temperature

5-40

Identify parameters

Detection method: Video detection

Facial image capture rate: ≥90%

Effective capture rate of cross age ten thousand person database: ≥70%

Correct alarm rate: ≥85%

Download parameter documents for other similar products:

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