Buy Vivotek IE8231-F, Facial Recognition Workstation Up to 8 Cameras

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Number of Cameras:: Number of Cameras: 8

Features:

Live Notifications and Alerts
Persons of Interest (POI) Management
Comprehensive Reports
Support up to 8 Cameras

IE8221-F and IE8231-F are both advanced AI-based Facial Recognition (FR) workstations. Facial profiles captured from IP cameras are used for identification, even under complex environments with changing ambient lighting. Both models are applicable for use in access control and attendance management, supporting up to 2 cameras (IE8221-F) or 8 cameras (IE8231-F). A FR license is required for each camera, and an optional Wiegand box is needed for door access.

System Architecture

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Technical Details

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Product Information

Hardware

Intel CPU: i7-10700, Memory: DDR4-2666 32GB RAM, HDD: 2.5" 500GB SSD

Linux

Maximum Number of Faces in Database

20,000

Network

10/100Mb/1Gb Network

Maximum Number of Devices Connecting

(Build-in 1CH) Up to: 8

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

Supported Image Sources

Supported IP Cameras

Any H.264 ONVIF IP Camera
Any H.264 RTSP IP Camera

Supported Face Recognition Tablets

Tigerwong
Smarfid 5"
Smarfid 8"

Supported Still Image Formats

JPEG, PNG, BMP, Base64

Video Sources Configuration

Region of Interest (ROI)

Setup ROI area for face capture

Face Capture Parameters

Minimum capture face size
Frame capture interval
Side face filter
Biggest face only filter

Face Verification Parameters

Minimum face recognition threshold
Merge recognized faces interval

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
Beard and hairstyles
Eyeglasses
Caps and scarfs
Irregular lighting
Partial face occlusion

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

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 visitors identity

Product Details

Product Information

Hardware

Intel CPU: i7-10700, Memory: DDR4-2666 32GB RAM, HDD: 2.5" 500GB SSD

Linux

Maximum Number of Faces in Database

20,000

Network

10/100Mb/1Gb Network

Maximum Number of Devices Connecting

(Build-in 1CH) Up to: 8

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

Supported Image Sources

Supported IP Cameras

Any H.264 ONVIF IP Camera
Any H.264 RTSP IP Camera

Supported Face Recognition Tablets

Tigerwong
Smarfid 5"
Smarfid 8"

Supported Still Image Formats

JPEG, PNG, BMP, Base64

Video Sources Configuration

Region of Interest (ROI)

Setup ROI area for face capture

Face Capture Parameters

Minimum capture face size
Frame capture interval
Side face filter
Biggest face only filter

Face Verification Parameters

Minimum face recognition threshold
Merge recognized faces interval

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
Beard and hairstyles
Eyeglasses
Caps and scarfs
Irregular lighting
Partial face occlusion

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

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 visitors identity

Note

Note: Please read description carefully. Do not base your order on the picture presented.

Reviews

Vivotek IE8231-F Facial Recognition Workstation Up to 8 Cameras

Identifiers

Technical Details

Reviews