Buy Vivotek IE9232-F, Facial Recognition Workstation

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1-908-282-3332 (Intl.)

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Device Type:: Device Type: Workstation

Features:

Mask Detection and Recognition
Enroll a Person's Profile with up to 5 Pictures
Real-time Notifications and Alerts
Persons of Interest (POI) Management
Comprehensive Reports
Support up to 6 Cameras/Servers

IE9232-F is next-gen AI-based Facial Recognition (FR) workstation, which collaborated with Advantech, the leading industrial PC manufacturer. For each visitor, facial profiles of up to 5 pictures captured from IP cameras are used for identification, leading to higher accuracy even under complex environments with changing ambient lighting. IE9232-F is applicable for use in access control and attendance management, supporting up to 6 cameras. An FR license is required for each camera, and an optional Wiegand box is needed for door access.

System Architecture

Mask Detection and Recognition

With the help of the hardware upgrade provided by Advantech, updated software, and facial profile enrollment of 5 nuanced pictures, mask detection and recognition of IE9232-F is faster and more accurate than the previous generation was.

Mask Detection and Recognition

Live Notifications and Alerts

Real-time Notification on VIVOTEK VAST 2 whenever a POI has been identified.

Persons of Interest (POI) Management

Users can assign each person into one or more groups for easier identification (i.e., VIP, blocklist, staff, visitor) and auto-delete POI profiles based on a pre-defined date.

Persons of Interest (POI) Management

Comprehensive Reports

VAST Face Facial Recognition Workstation IE9232-F provides detailed reports for recognized and unrecognized faces. Employee clock-in reports can be automated with exception-based filters: No-Show, Late Arrival, and Early Leave. IE9232-F can also store system-triggered action logs. This enables users to use different search filters to sort through events seamlessly for quick investigations, then export the results to Excel as needed.

>Comprehensive Reports

For more information, please see pdf file Data Sheet and Quick Installation Guide

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Technical Details

Reviews

Hardware

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

Linux

Maximum Number of Faces in Database

50,000

Network

10/100Mb/1Gb Network

Maximum Number of Devices Connecting

(Build-in 1CH) Up to: 6

Power Input

100-240V AC

Power Consumption

Max. 90W

Dimensions

240 x 210 x 57 mm (LWH)

Weight

Weight: 1.3 kg net and 2.1 kg gross

Saftity Certifications

CE, FCC, UL, CB, BSMI

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

Any H.264/H.265 RTSP IP Camera

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 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

1 MB 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
Person’s 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
Super User
Person Manager

System Inter-Compatibility

Supported Products

VIVOTEK VAST2 VMS/CMS
VIVOTEK VAST Face Manager/CMS

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

Product Details

Hardware

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

Linux

Maximum Number of Faces in Database

50,000

Network

10/100Mb/1Gb Network

Maximum Number of Devices Connecting

(Build-in 1CH) Up to: 6

Power Input

100-240V AC

Power Consumption

Max. 90W

Dimensions

240 x 210 x 57 mm (LWH)

Weight

Weight: 1.3 kg net and 2.1 kg gross

Saftity Certifications

CE, FCC, UL, CB, BSMI

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

Any H.264/H.265 RTSP IP Camera

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 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

1 MB 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
Person’s 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
Super User
Person Manager

System Inter-Compatibility

Supported Products

VIVOTEK VAST2 VMS/CMS
VIVOTEK VAST Face Manager/CMS

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

Note

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

Reviews

Vivotek IE9232-F Facial Recognition Workstation

Identifiers

Technical Details

Reviews