Welcome to
"ONLINE EMPLOYEE FACE RECOGNATION ATTENDANCE SYSYTEM"
An Online Employee Facial Recognition Attendance System is a technology that uses facial recognition technology to track employee attendance in a workplace. The system captures the employee's facial features and matches them to their identification in a database. This technology offers a fast and convenient way of tracking employee attendance, as employees simply walk in front of a camera to have their attendance recorded.
The human face plays an important role in our day-to-day life mostly for the identification of a person.
Face recognition is a part of biometric identification that extracts a face’s facial features, then stores it as a unique face print to uniquely recognize a person.
Biometric face recognition technology has gained the attention of many researchers because of its wide application.
Face recognition technology is better than other biometric-based recognition techniques like fingerprint, palm print, and iris because of its non-contact process. Recognition techniques using face recognition can also recognize a person from a distance, without any contact or interaction with the person.
Face recognition techniques can also be used in crime reports, the captured photo can be stored in a database and can be used to identify a person. For face recognition, we require a large dataset and complex features to identify a person in all conditions like a change of illumination, age, pose, etc.
Recent researches show there is a betterment in facial recognition systems.
The consumer-facing applications of facial recognition technology continue to evolve and appear
in new contexts.
There are several key functions that benefit from facial recognition technology,
including:
(1) safety and security;
(2) access and authentication;
(3) photograph and video
storage identification and organization;
(4) accessibility to platforms, accounts, or services, and
(5) marketing and customer service.
There are also, however, specific concerns about the privacy
protections needed for the responsible use of this expanding technology. These Principles are
meant to apply to personally identifiable information (PII) based on the development and use of
facial recognition technology as defined and described here.1
The Principles have been designed to drive responsible data use by those businesses and on-line
platforms developing and using facial recognition technology in commercial settings;
To establish
a foundation of protections for personal data that is deserving of user trust; and to inform the
conversation behind various legislative initiatives on the specifics of the technology, and the
technical and policy protections available. These Principles are intended to set industry best
practices, inform consumer expectations, and educate policymakers regarding the various
technologies discussed.
They are not intended to be used directly as a model bill or legislative
language since, as with any technology, new business practices and consumer needs may evolve
and warrant ongoing evaluation.
It is important to first clarify the distinctions between various types of facial scanning systems,
generally understood to encompass a spectrum from facial detection (no PII collected), through
facial characterization (no personal templates or enrollment), and ultimately including facial
verification and identification purposes (personalized templates created and stored).
2 Not all The consumer-facing applications of facial recognition technology continue to evolve and appear
in new contexts. There are several key functions that benefit from facial recognition technology,
including:
(1) safety and security;
(2) access and authentication;
(3) photograph and video
storage identification and organization;
(4) accessibility to platforms, accounts, or services, and
(5) marketing and customer service.
There are also, however, specific concerns about the privacy
protections needed for the responsible use of this expanding technology. These Principles are
meant to apply to personally identifiable information (PII) based on the development and use of
facial recognition technology as defined and described here.
1
The Principles have been designed to drive responsible data use by those businesses and on-line
platforms developing and using facial recognition technology in commercial settings;
to establish
a foundation of protections for personal data that is deserving of user trust; and to inform the
conversation behind various legislative initiatives on the specifics of the technology, and the
technical and policy protections available.
These Principles are intended to set industry best
practices, inform consumer expectations, and educate policymakers regarding the various
technologies discussed. They are not intended to be used directly as a model bill or legislative
language since, as with any technology, new business practices and consumer needs may evolve
and warrant ongoing evaluation.
It is important to first clarify the distinctions between various types of facial scanning systems,
generally understood to encompass a spectrum from facial detection (no PII collected), through
facial characterization (no personal templates or enrollment), and ultimately including facial
verification and identification purposes (personalized templates created and stored).
2 Not all.