This document proposes an ATM system that uses facial recognition instead of cards and PINs for verification. It would work by having a camera installed on the ATM that takes a photo of the customer's face and compares it to an image stored in the bank's database associated with the account. This would provide increased security by matching a live photo to the stored image without needing a card or PIN. The document outlines the components, techniques, process and potential benefits of such a biometric-based ATM system for more reliable authentication.
Biometric ATM are used for wide range of applications like for Banking, Coupons & Self service ATM. Biometrics ATM offer ATM type interface along with at-least one Biometrics capture device like Fingerprint Scanner, Iris camera, Palm/Finger Vein scanner , Face recognition camera. They are often called Multi-Biometrics ATM, Wall mount Biometrics ATM, Biometrics Devices / Machine.
Most of the ATM in the past have been using ID cards to identify users but with the wide acceptance of Biometrics , a new generation of Biometrics ATM are being deployed for wide range of applications worldwide.
As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
Biometric ATM are used for wide range of applications like for Banking, Coupons & Self service ATM. Biometrics ATM offer ATM type interface along with at-least one Biometrics capture device like Fingerprint Scanner, Iris camera, Palm/Finger Vein scanner , Face recognition camera. They are often called Multi-Biometrics ATM, Wall mount Biometrics ATM, Biometrics Devices / Machine.
Most of the ATM in the past have been using ID cards to identify users but with the wide acceptance of Biometrics , a new generation of Biometrics ATM are being deployed for wide range of applications worldwide.
As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
An ATM With Third Eye The Future’s Technological InnovationEldad Lieberman
Eldad Lieberman started out a company known as elyi systems and supplied hundreds of business's with the capability to have ATM'S to enable customers to get cash to buy things.
Fingereye: improvising security and optimizing ATM transaction time based on ...IJECEIAES
The tumultuous increase in ATM attacks using eavesdropping, shoulder-surfing, has risen great concerns. Attackers often target the authentication stage where a customer may be entering his login information on the ATM and thus use direct observation techniques by looking over the customer's shoulder to steal his passwords. Existing authentication mechanism employs the traditional password-based authentication system which fails to curb these attacks. This paper addresses this problem using the FingerEye. The FingerEye is a robust system integrated with iris-scan authentication. A customer’s profile is created at registration where the pattern in his iris is analyzed and converted into binary codes. The binary codes are then stored in the bank database and are required for verification prior to any transaction. We leverage on the iris because every user has unique eyes which do not change until death and even a blind person with iris can be authenticated too. We implemented and tested the proposed system using CIMB bank, Malaysia as case study. The FingerEye is integrated with the current infrastructure employed by the bank and as such, no extra cost was incurred. Our result demonstrates that ATM attacks become impractical. Moreover, transactions were executed faster from 6.5 seconds to 1.4 seconds.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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UI automation Sample
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https://arxiv.org/abs/2306.08302
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Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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Bob Boule
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Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
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- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
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- Demonstration of InfluxDB and Grafana using a practice web application
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https://www.rttsweb.com/jmeter-integration-webinar
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The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
An atm with an eye
1. AN ATM WITH AN EYE
THE FUTURE’S
TECHNOLOGY
1
Ch. John Williams
ECE Department
B.Tech IV Year
2. Outline
ATM
ATM WITH AN EYE
ON THE MOST CUSTOMER IS
WHERE IT IS USE
WORKING
TECHNIQUES
HOW IT WORK
FUNCTION
PROTECTION
CONCLUSION
REFERENCES
2
3. Automated Teller Machine
An automated teller machine (ATM) is :
Computerize telecommunications
Made money transactions easy for customers to bank.
Device that provides the customers of a financial transactions in
a public space without the need for a human clerk or bank teller.
Security requiring combination Physical access card+
Password(PIN)
3
4. Personal Identification Number
(Pin)
PIN is one method used by banks and phone companies to
protect your account from unauthorized access
PIN is a confidential code issued to the cardholder to permit
access to that account
PIN should be memorized, secured and not given to anyone, not
even family members or bank employees
4
5. The chances of misuse of this much hyped 'insecure' baby
product (ATM) are manifold due to the exponential growth of
'intelligent' criminals day by day.
There is an urgent need for improving security in banking
region. With the advent of ATM though banking became a lot
easier it even became a lot vulnerable.
Provide a cordless, password-free way to get their money out of
an ATM
An ATM With An
Eye
5
6. On Most Modern ATM, The
Customer Is
Identified by inserting a plastic ATM card with a magnetic
stripe or a plastic smartcard with a chip, that contains a unique
card number and some security information, such as an
expiration date or cvvc (cvv). Security is provided by : the
customer entering A personal identification number (PIN).
6
7. By forcing the ATM match a live image of a customer’s
face/eye with an image stored in a bank database (associated
with the account number) when the data matches(account
image and stored image) user be considered fully verified
A system can examine just the eyes, or the eyes nose and
mouth, or ears, nose, mouth and eyebrows, and so on.
Working
7
9. How It Work
A camera based in ash machine will
Detect the pattern in second
Compare it with one store in a central computer.
Or encode on to the cash card.
A sensor system examines the randomly
Formed features of the iris of the eye
as unique as a fingerprint.
9
10. Where It Used
The development of such a system would
serve to protect consumers
financial institutions alike from fraud
other breaches of security.
FIGURE-3
10
16. EYE automatically discover SNMP enabled devices,
application servers and applications. EYE has up-to-date and
accurate end-to-end visibility on what’s happening on your
infrastructure.
Troubleshooting
FIGURE-6
16
18. Conclusion
We Thus Develop An Atm Model That Is
More reliable in providing security by using facial recognition
software.
By keeping the time elapsed in the verification process to a
negligible amount
Try to maintain the efficiency of this ATM system
18