CMS de Reconocimiento Facial

IE9281-FM

CMS de reconocimiento facial

  • Soporte para hasta 256 Dispositivos en un Solo Servidor
  • Pantalla Local a través de HDMI e Instalación de VM mediante USB
  • Fácil Integración en su Sistema
  • Informes Infográficos Detallados
  • Soporte para Instalación en Rack

Descripción General

Especificación

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  • La garantía puede variar según el territorio o la situación.Por favor consulte: Garantía VIVOTEK

Especificaciones del Producto

Product Information
Hardware

Intel CPU: i7-(8th Generation)
DDR4 32GB RAM, HDD: 2.5" 500GB SSD

OS

Linux

Maximum Number of Faces in Database

50,000

Maximum Number of Connected Devices

Up to: 256

Power Input

100-240V AC

Power Consumption

Max. 90W

Dimensions

250 x 44.2 x 225 mm

Weight

3.98kg

Safety Certifications

CE, FCC

Support Device

FD9387-FR-V2&V3, FT9361-R, IE9232-F

Push Notifitation

Line, What'APP, Json, E-Mail
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
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 Manager
System Inter-compatibility
Supported Products

VIVOTEK VAST2 VMS/ CMS
VIVOTEK VAST FaceManager
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
Producto Selector
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