IE8213-FM

Overview

VAST Face Facial Recognition CMS is a content management system designed to facilitate facial recognition data for access control and attendance management. It provides a secure and seamless authentication mechanism by utilizing an individuals face as a non-transferable biometric token, more secure than access cards that can be transferred or stolen. VAST Face Facial Recognition CMS can be applied to a wide range of applications including security checkpoints, staff attendance records, and automated identity verification. A single IE8213-FM built-in VAST Face CMS can support up to 128 devices.

Key Features

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


    • System Architecture

    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
    		•
    Saftity 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
    		•
    Environmental Adaptability
    Camera Installation Height
  • 3.0 meters max. camera height
  • Mounting position within 10 degrees inclination
    		•
    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 Management (POI)
    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 face 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
    		•
    Face 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
    		•
    Datasheets Download
    Manual Download

    Dimension

    Related VIVOTEK Solution

    Facial-recognition

    banking solution

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