Vivotek IE8213-FM Facial Recognition CMS

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