Globally, the presence of biometrics is highly approachable to fix any hurdle and irrelevant input and make a secure and tangible environment. Indeed biometrics helps you tremendously. You can manage everything on your basis to compete in the market. Especially for the attendance services in any organization, office, and building, it is the most important thing to record the presence of someone.

1. Best biometric system in the market- facial recognition system
Globally, the presence of biometrics is highly approachable to fix any hurdle and irrelevant input
and make a secure and tangible environment. Indeed biometrics helps you tremendously. You can
manage everything on your basis to compete in the market. Especially for the attendance services in
any organization, office, and building, it is the most important thing to record the presence of
someone.
In today’s digital age, face recognition is beneficial and one of the most advanced biometric systems
in the market. It plays a sophisticated or cumulative role that enhances a company environment
toward logistic dimensions, especially for work areas that require attendance verification. Facial
recognition is beneficial in verifying attendance to speed up the process of recording and verifying
the person.
Day by day, the implementation is highly incrementing, and a simple biometric is now getting
placed as a facial recognition system. This advanced artificial input working without contact with
humans and detecting them in the workplace makes a safe, responsible, and compatible output.
A facial recognition system is an advanced artificial intelligence
The system is now digitalized and moving with tremendous mechanization. The world is now more
active in developing its economic power and using advanced methods to stimulate its business
quickly. Here, attendance is much beneficial for any organization to manage their employee to
know about their activities and working period, which increase the company's productivity.

2. Intrinsically, facial recognition is an advanced biometric system that terminates an obsolete mindset
of maintaining the system and replacing it with an ample opportunity for time, safety, and
accountability. It works with a diversified process and detects an individual systematically by the
camera, images, CNN-classifier, comparison/identification, and recognition/verification. And all
these processes will work on the Haar cascade classifier. Haar Cascade is a feature-based object
detection algorithm used to detect and identify objects in real-time images (Paul Viola and Michael
Jones). A cascade function is trained on many positive and negative images for detection. Paravision
research indicates that facial recognition models trained on the actual face are good at
understanding “hidden information about synthetic faces.”
Research shows that It plays a crucial role in recognition. It conveys people’s identity and thus can
be a key for security solutions in many organizations. The facial recognition system is increasingly
trending globally as an extraordinarily safe and reliable security technology. It is gaining significant
importance and attention from thousands of corporate and government organizations because of its
high level of security and reliability.
The system captures biometric measurements of a person from a specific distance without
interacting with the person. This technique is based on the ability to recognize a human face and
then compare the different features of the face with previously recorded faces. This feature also
increases the importance of the system and enables it to be widely used worldwide. It is developed
with user-friendly features and operations that include different nodal points of the face.
How algorithm work with Face Recognition
In recent times, artificial intelligence has been developing rapidly. We know it is highly advanced,
provides self-services with less human involvement, and take place in a supermarket. Artificial
intelligence is closely linked to computer vision. Things are working in artificial intelligence with
algorithms. The algorithm is a rule based on a specific neural network that detects face landmarks
and distinguishes faces. The detecting part of human facial features like eyes, nose, mouth, etc.
The function of facial recognition relies on an algorithm, which would work with a generating
database. There are various processes below through which you can analyze the proper operation of
the facial system.

3. Adding the image to the database
• Get the image
• Get the Face detector object
• Apply the Face detector object to the image to extract the features of the detected face
• Add the image to the database
Comparing the input image with the database of images
• Get the image
• Get the face recognition machine
• Apply the Face detector to the image and extract the features.
• Compare the image with the database
• Verification or denied
There are several faces that we have seen, and also machines get, but all the faces are slightly
different. Therefore face recognition system recognizes all the faces in the workplace after getting
images in real-time or 3d and saving them in the database in code form. At the time of recognition,
the input images are compared with the database. Here, the input image is called the probe, and the
database is called the gallery. Then it gives a match report.
Features base approaches for the facial recognition system
According to various research, there are three approaches to face recognition;
Feature base approach: In the feature-based method, the local features like nose and eyes are
segmented and can be used as input data in face detection to easier the face recognition task. In
other words, the Feature-based approach identifies the separate sections of any face.
Holistic approach: Overall, the face would be detected as the input for face recognition.
Hybrid approach: Hybrid approach is a combination of feature-based and holistic approaches.
This approach is local, and the whole face is used as the input to the face detection system.
Conclusion
A Biometric system is highly suitable and legitimizes working behaviors. The facial recognition
model of a biometric system is highly advanced, and get involved artificial intelligence that helps to
grow and make a good environment. Face recognition system is one of the most intensive
technologies in computer vision, with new approaches and encouraging results reported every year.
It is putting their work with various techniques and methods and mechanizing it with a productive
environment.