VOCORD FaceControl FaceControl_product... · Law enforcement applications ... Resident of Skolkovo...

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VOCORD FaceControl Facial recognition “on-the-go”

Transcript of VOCORD FaceControl FaceControl_product... · Law enforcement applications ... Resident of Skolkovo...

VOCORD FaceControlFacial recognition “on-the-go”

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About VOCORD FaceControl

VOCORD FaceControl is non-cooperative biometrical facial recognition system,

operating “on-the-go”. It catches and recognizes faces of people, freely passing-

by facial recognition cameras.

VOCORD FaceControl is designed for:

■ Control, crime prevention and investigation

■ Increasing of security in public places

■ Biometric access control

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Cooperative vs non-cooperative mode

Cooperativeness Non-cooperativeness

VOCORD FaceControl recognizes faces in both cooperative and non-cooperative

mode.

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Business applications

■ Detection of black-listed fans banned from stadiums

■ Biometric Access Control

■ Employee time and attendance

■ Mobile devices user’s authentication

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■ Detection of shoplifters in stores

■ Detection of loyal customers, VIP-service

■ Visitors statistics collection

■ “Typical way” of customers

Male, 35-45Male, 25-35 Male, under 25

Female, 25-35, loyal customer

Female, 45-55Male, under 25

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Law enforcement applications

■ On-line search of criminals

■ On-line search of missing persons

■ Police investigations

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■ Border Control

■ Biometric Access Control

!

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Advantages

High speed recognition

High recognition accuracy (>96%)

Mobile apps for facial recognition

Low bandwidth requirements and reduced server load

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Low power consumption

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Possibilities

VOCORD FaceControl is multifunctional facial recognition tool, which gives

possibilities:

■ to count people by faces with tagging newcomers and regular visitors

■ to give instant alert to “black-listed” people

■ to organize contactless biometric access control system

■ to make rich analytics and reports

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High recognition accuracy

VOCORD FaceControl high efficiency is

provided by latest deep learning-based

algorithms and «machine vision» cameras

with onboard automatic video enhancement.

It gives high recognition accuracy (>96%)

and low rate of missed faces in field-use.

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Name: Jane Doe

Accuracy: 100%

Time: 11:05:21

Channel: Enter 1

Age: 25-35

Gender: Female

Jane Doe100%

Name: Jane Doe

Checklist: Employees

ID:

Company: Vocord

Department: Marketing

Position:

Captured face

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Recognition in poor light conditions

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Equipment and system architecture

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VOCORD NetCam4 facial recognition cameras

■ High recognition accuracy due to high quality of captured face images

■ Low bandwidth and server requirements due to images, but not video stream transmission

■ Reduced total costs for facial recognition system due to low server requirements

Key features:

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■ Onboard facial detection

■ Onboard video enhancement algorithms

■ 2 independent video streams: RAW, JPG (captured faces)/ MJPEG

■ Data transfer via WiFi (optional)

Advantages: Form factors:

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Low server load

Due to selective (only captured faces) data transmission the load on CPU is reduced.

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Gamma correction by VOCORD NetCam4

8 bit image 12 bit image converted to 8 bit using

adaptive LUT

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Advantages of dynamic ROI (Region of Interest)

12 bit image with static ROI 12 bit image with dynamic ROI

Due to dynamic ROI VOCORD NetCam4 enhances the quality of image in the face

area

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Architecture of VOCORD FaceControl (HW&SW)

FC AlarmMonitor

VOCORD NetCam4 video cameras

FC Client

FC Catcher-K

FC Grinder

FC Matcher

FC Archive

FC Core

FC WatchList

Search in archive

Data transmission server

Archiving server

Managing module

Biometric template creating

Biometric template matching against database

Database

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Operator’s workplace

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Video surveillance and facial recognition

For maximal efficiency Vocord recommends to use facial recognition system integrated with

video surveillance system:

Facial recognition cameras for control of exits / entrances

Video surveillance cameras for tracking of visitors

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Alarm Monitor interface

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Watch list editor interface

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Projects

Ryazan “Safe City”. Train terminals, central bus station

Samara “Safe City”. City metro

“Mytishchi” Station. Moscow region

Retail chains (“Do-It-Yourself”): Leroy Merlin (Moscow and outskirts),

Bawcenter (Kaliningrad city), malls in Moscow

“Novatek” business center (access control)

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Company profile

Since1999 on the security market

Technological leader in smart video surveillance and image recognition (ALPR and Facial biometrics)

Compliance with ONVIF open international standards

Resident of Skolkovo Foundation, participant of Russian biometric society

More than 120 employees (~80% - engineers and developers)

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Contacts

Vocord Company

Moscow, Russia

Phone: +7 (495) 787-26-26

E-mail: [email protected]

Website: www.vocord.com