VAST Face Facial Recognition CMS is a content management system designed to facilitate facial recognition data for access control and attendance management. It provides a secure and seamless authentication mechanism by utilizing an individuals face as a non-transferable biometric token, more secure than access cards that can be transferred or stolen. VAST Face Facial Recognition CMS can be applied to a wide range of applications including security checkpoints, staff attendance records, and automated identity verification. A single IE8213-FM built-in VAST Face CMS can support up to 128 devices.
Features:
Model | IE8213-FM |
Hardware | Intel CPU: i7-(8th Generation) DDR4 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, mustaches 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 pixels |
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 engine based 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 |