Home  |   About Us  |   Contact Us  |  
               

Face Recognition Based System :


Biometric authentication is the easiest and most natural form  of authentication for people to get used to

OWNERSHIP

(Something you CARRY)

KNOWLEDGE

 

(Something you KNOW)

BIOMETRICS

 

(Something you ARE)

Drivers License

Magnetic Stripe

Photo ID

Holograph

Smart Card

Proximity Card

More Difficult To Counterfeit

Likely to lose

PIN

Password

Challenge-Response

Encryption

Digital Signature

More Difficult To Appropriate Likely to forget

Face

Voice

Handprint

Fingerprint

Retina

DNA

Low Security Low Accuracy --------------------- High SecurityHigh Accuracy

Face : We offer Time attendance system, Access control system, Visitors Management system, School campus management system & many more products with use of Face recognition unit. The products offered by AVANCAR group are very useful for security industry in Hotels, Schools, Offices, Industry, House, Shops & any commercial premises.

Forget the Thumb impression machine : These can be spoiled by touch of oily or dirty hands.

Now, Use Face based Access control offered by AVANCAR group with technology supported by INTTELIX software Technology PVT LTD. 

Advantage

Weak Points

FAR

FRR

Fingerprint Device

Low cost

Small device

Water, sweat, dry Stressful

Need to touch device Processing is going to heavy as a number is gained

0.0002%

(NEC/VIRDI)

(1:1)

0.01%

(NEC/VIRDI)

(1:1)

Palm Reader

Accurate

Permanent

Touchless

Processing is going to heavy as a number is gained

0.00008%

(Fujitsu)

0.0001%

(Hitachi)

(1:1)

0.01%

(Fujitsu)

0.01%

(Hitachi)

(1:1)

Eye Iris Reader

Very accurate

Permanent

Touchless

To shoot iris requires people to be in the right position. It's very High cost solution. Processing is going to heavy as a number is gained

0.00008%

(1:N)

0.1%

(1:N)

(Panasonic)

Face recognition Unit

Normal camera can be used

Touchless

Less stress

Less Expensive device , Easy to use, Less time to handle more customers.

0.00001%

(AVANCAR)

(1:1)

1%

(AVANCAR)

(1:1)

What are Biometrics and Biometric Technology?

A Biometric is a unique, measurable characteristic of a human being that can be used to automatically recognize an individual or verify an individual’s identity. Biometrics can measure both physiological and behavioural characteristics. Physiological biometrics (based on measurements and data derived from direct measurement of a part of the human body) include:

Finger-scan, Face Recognition, Iris-scan, Retina-scan, Hand-scan

Behavioural biometrics (based on measurements and data derived from an action) include:

Voice-scan, Signature-scan, Keystroke-scan

Biometric Technology

1. Analyses and measures certain biological characteristics of an individual to create a unique identifier, which can be electronically stored and retrieved for positive identification.

2. Eliminates the problems associated with password management by measuring human characteristics such as voiceprint, fingerprint, iris pattern and facial contours, which are virtually impossible to duplicate and cannot be lost like traditional passwords.

3. Makes it more convenient for end-users to access their computer accounts, while maintaining a secure method of user authentication. It has been proven superior to the other means of positive identification that rely upon cards, PINs, passwords or personal information.

Why choose Face Recognition over other Biometrics?

Face Recognition Technology involves analyzing certain facial characteristics, storing them in a database and using them to identify users accessing systems. There are number of reasons to choose face recognition. Some of them are: It is non-intrusive and requires no physical interaction on behalf of the user It is accurate and allows for high enrolment and verification rates It does not require an expert to interpret the comparisons It can use your existing hardware infrastructure – existing cameras and image capture devices will work smoothly You can use existing images without having to re-enroll every user (For ID cards, passports, driver’s licenses, etc.) It is the ONLY biometric that allows you to perform passive identification in a one-to-many environment (e.g. Identifying a terrorist in a busy airport terminal)


Ontime Compact

(Facial Recognition Time Attendance System)


Why OnTime Compact?

Want to avoid buddy punching, clock padding and general inaccuracy of time capture?

Fed up of errors in capturing time manually? Or spending time doing the difficult task of consolidating data from various sources?

Would you prefer to have a system as easy to use as fingerprint but would prefer more durability, accuracy and data usability among others?

If you are a small organization and would like to have at the fastest and most accurate time and attendance system at an affordable price use Ontime Compact from Avancar Group.

Key Features

Ř Visual view of video input Ř Visual view of face detection Ř History / Enrolled / Suspects view Ř Voice alerts during system operationŘ Easy to use graphic interface Ř Fast and accurate Face verification

Employee Verification

OnTime-Compact is a Time & Attendance System with a Face recognition System, specifically designed to provide irrefutable personal verification. It is a standard, Camera and Prompt Software to enroll and verify employees, store their Face records, keep logs, and interface with computers. OnTime provides enhanced security, superior speed. Employee IN & OUT times are stored as Soft Data, This reduces the manual drudgery of Data Entry, Register maintenance and monthly requirement of Punch Cards for conventional Time Clocks to a minimum.

Recommended minimal image size

640 x 480 pixels

Multiple faces detection time (using 640 x 480 image)

0.07 sec.

Single face processing time (after detecting all faces)

0.13 sec.

Matching speed

100,000 faces/sec.

Size of one record in the database

2.3 Kbytes

Maximum database size

unlimited

Software Specifications

Facial Recognition customizable engine Generic video interface (Win 32 API)  Real time facial detection Real time facial matching Enhanced matching mechanism (Matching attempts) Adjustable image processing User Management / Time Zones Time Attendance feature (In / Out) (Reasons) Fully customable Time Attendance Log Browser including visual history User Privacy mode - no image savings

Hardware Specifications:

Device:
7" LCD Display,
Internal Video Camera, Internal Speaker, Internal Video grabber

System Requirement

Pentium 4 1.66GHZ , 512MB RAM (Minimal) , 20GB Free HD , USB 2.0

Employee database maintains

information’s like..

Face Id,  Full Name,  Job Description, Supervisor Name, Valid Upto, Customizable shift timings


SOFTWARE INTERFACE

Facial Recognition Adjustable Attributes

Minimal Similarity Level Eye distance Matching attempts Face sample rate

Other Advantages

Work hours, tardiness absence, vertime report by individual by user defined time period

Time & Attendance data modification by manager

Data export facility for other system cooperation with ERP, payroll etc.

Face Recognition

Humans mostly use faces to recognize individuals. Advances in computing capability now enables similar recognition automatically. Early face recognition algorithms used simple geometric models, but the recognition process has now matured into a science of sophisticated mathematical representations and matching processes. Major developments have propelled face recognition technology into the spotlight.

Face recognition can be used for both verification (1:1), and Identification (1:N) applications.

Face Template

The heart of the facial recognition system is the Local Feature Analysis (LFA) algorithm. This is the mathematical technique the system uses to encode faces. The system maps the face and creates a "template", a unique numerical id for that face.

Once the system has stored a "template", it can compare it to the thousands or millions of "templates" stored in a database.

Each template occupies only 2.3 KB of data.

Identification vs. Verification

Verification (1:1, one-to-one) - The process of determining a person's identity by performing matches against one biometric template that is located upon known ID. 1:1 verification usually uses tokens like: Card, code, or any other key based indexing. Identification (1:N, one-to-many) - The process of determining a person's identity by performing matches against multiple biometric templates. Identification systems are designed to determine identity based solely on biometric information. here are two types of identification systems: positive identification and negative identification.Our advanced applications allow our customer full control over recognition method. We support both 1:1 (verification) an 1:N (identification) methods.

Some thoughts and imaginations are fashionable, instilled with inspiration. to uphold innovation is interesting. Smart ideas are meant to realize and execute. The execution of idea needs Logic. AVANCAR security & Access Services Pvt Ltd is on the podium to keep up a global outlook in the development of software products and services.




Powered By Homepages.co.in