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Vivotek

Vivotek Facial Recognition Workstation - IE8221-F

Vivotek Facial Recognition Workstation - IE8221-F

Regular price $3,692.40 USD
Regular price Sale price $3,692.40 USD
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Product Specification

Product Information

Feature Specification
Hardware Intel CPU: i7, DDR4 32GB RAM, HDD: 2.5" 500GB SSD
OS Linux
Maximum Number of Faces in Database 20,000
Network 10/100Mb/1Gb Network
Maximum Number of Connected Devices (Built-in 1CH) Up to: 2
Power Input 100-240V AC
Power Consumption Max. 90W
Dimensions 190 x 165 x 43 mm (LWH)
Weight 1.3 kg
Safety Certifications CE, FCC

System

Feature Specification
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

Feature Specification
System Security Single device login
Renewable session token
Hardened HTTPS
Management Interface Web Client
Supported Browsers Google Chrome, Mozilla Firefox
Languages English, Traditional Chinese

Supported Image Sources

Feature Specification
Supported IP Cameras Any H.264 ONVIF IP Camera
Any H.264 RTSP IP Camera
Supported Still Image Formats JPEG, PNG, BMP, Base64
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

Environment Adaptability

Feature Specification
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

Feature Specification
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

Feature Specification
POI Management Enroll person using Web client.
Manage face profiles database through Web Portal
POI Authentication Face as a credential
Card Number
POI Groups Default: VIP, Blacklist, Staff
User-defined groups
POI Batch Enrollment Supports bulk enrollment using Excel & JPEG files
Enrollment Photo Min. face size: 200x200 pixels
1MB max photo size (.JPG or .PNG)
POI Profile Information Name, ID #, card #, job position, email, phone, POI group(s), expiration date

POI Reports

Report Type Filters
Investigation Reports Location, time period, name, POI group, POI type (enrolled or stranger)
Attendance Reports Clock-in time, clock-out time, stay length, late arrival, early leave
Actions Reports Pre-defined actions triggered in response to events
Export Data Export results to Excel file

Trigger Rules and System Actions

Feature Specification
Rule Engine Trigger based on:
Event location, schedule, detection time, POI profile, POI group affiliation, or type (enrolled/stranger)
Supported Actions Trigger I/O Relay
Trigger IP-to-Wiegand converter
Send HTTP GET/POST command
WebSocket notification

System Users Management

Feature Specification
System Users Register using name, email, phone
System User Groups System Administrator
Administrator
VAST Face CMS

Facial Recognition Verticals

Application Use Case
Identify Potential Troublemakers Shoplifters, criminals, barred individuals
Detect VIP Members Deliver tailored experiences
Provide Physical Entry Access control for buildings and rooms
Contactless Clock-In Staff attendance management
Verify Visitor Identity Confirm identity for access
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