IE8213-FM

 

 

IE8213-FM - Facial Recognition CMS

 

Key Features

  • Content Management System.
  • A Maximum of 128 Devices Support.
  • Highly Secure.
  • Rich Infographic Reports.

 

System Architecture

IE8213 FM System Architecture result

 

 

Specifications

Product Information
Model IE8213-FM
Hardware Intel CPU: i7-10700, Memory: DDR4-2666 32GB RAM, HDD: 2.5″ 500GB SSD
OS Linux
Maximum Number of Faces in Database 50,000
Network 10/100Mb/1Gb Network
Maximum Number of Devices Connecting Up to: 128
Power Input 100-240V AC
Power Consumption Max. 90W
Dimensions 190 x 165 x 43 mm (LWH)
Weight 1.3 kg net and 2.1 kg gross
Safety Certifications CE, FCC

System
Architecture Three Tier Server-client system:
· Web Server
· Application Server
· Database Server
Supported OS Ubuntu Server 20.04
Supported Protocols HTTP & HTTPS
Supported Hypervisors VMWare, Hyper-V, Virtual Box
Container Type Docker
Database Type MongoDB
System Security · Single device login
· Renewable session token
· Hardened HTTPS

Management Interface
Interface Using Web client
Supported Browsers · Google Chrome
· Mozilla Firefox
Languages · English
· Traditional Chinese

Environment Adaptability
Camera Installation Height · 3.0 meters max. camera height
· Mounting position within 10 degrees incline
Supported Image Modes Color & Monochrome
Robust Against · Large expressions
· Beards, moustaches and different hairstyles
· Eyeglasses
· Caps and scarfs
· Irregular lighting
· Partial face obstruction

Supported Devices & Integrations
I/O Relay Moxa E1214
· Advantech ADAM 60XX
· VIVOTEK AO-20W I/O Device
IP-to-Wiegand Converter · Doorcard DCT-4TW26
· VIVOTEK AO-20W Wiegand Box
HTTP Notifications Send customized GET/POST HTTP messages
Others · Use VAST Face RESTful API

Persons of Interest (POI) Management
POI Management · Enroll person using Web client.
· Manage face profiles database through Web Portal
POI Authentication · Using Face as a credential
· Using Card Number
POI Groups · Default groups: VIP, Blacklist, Staff
· User defined person groups
POI Batch Enrollment Supports bulk enrollment using Excel & JPEG files
Enrollment Photo · Min. face size = 200 x 200 pixel
Requirements · 1MB Max. photo size (.JPG or .PNG)
POI Profile Information · Name, ID #, card #, job position, email, phone, POI group(s), and expiration date

POI Reports
Investigation Reports Generate facial recognition reports and filter events by:
· Location
· Time period
· Name
· POI Group
· POI type (enrolled or stranger)
Attendance Reports Generate staff clocking reports and filter events by:
· Clock-in time
· Clock-out time
· Stay length
· Late Arrival
· Early Leave
Actions Reports Generate a report for which pre-defined actions were triggered in response to an event.
Export Data Export results to Excel file

Trigger Rules and System Actions
Rule Engine Rule based engine to trigger single or multiple system actions based on:
· Event Location
· Schedule
· Detection time period
· Specific POI profile
· POI face group affiliation
· Person type (enrolled or stranger)
· POI is (not) a member of a group
Supported System Actions · Trigger I/O Relay
· Trigger IP-to-Wiegand converter
· Send HTTP GET/POST command
· WebSocket notification

System Users Management
System Users Register user accounts using Name, E-Mail address & Phone number
System User Groups · System Administrator
· Administrator
· VAST Face CMS

System Inter-Compatibility
Supported Products · VIVOTEK VAST2 VMS/ CMS
· VIVOTEK VAST Face CMS
· VIVOTEK VAST FaceVisitor

Facial Recognition Verticals
Possible Applications · Identify potential troublemakers (shoplifters, criminals or any other barred individuals)
· Detect VIP members upon arrival to deliver a tailored experience
· Provide physical entry to commercial buildings, residences, and other rooms
· Contactless staff clock in system
· Verify visitor’s identity
   

 

 

 

Downloads

Downloads Datasheet Link

 

 

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