Face liveness detection gives groundbreaking opportunities
to businesses, as they can rank them globally by fulfilling the demands of the
users. The initial step of the company is to understand the needs and wants of
the user and then design the product accordingly. The clients also choose the
organization that creates the products according to their taste, provides
seamless services and ensures a user-friendly interface. All these things are
possible by integrating the latest machine learning tools. In 2023, according
to the report of the Chief Information Security Officer (CISO), 9 out of 10
respondents in Sweden said that their company had encountered a loss of
personal data during the last 12 months.
How Does Liveness Detection for Face Recognition Work?
Face liveness detection reads the facial features of the
client, compares them with the previously stored image, and ensures that the
clients are who they are claiming to be. The user does not have to come to the
office, and the entire process can be done from the comfort of their house. It
saves the cost and the client's time, as their travelling expenditures are
decreased; secondly, they do not have to follow the office protocols. In
developed countries, organizations that are integrating liveness detection, a
rise in their revenue is observed because these solutions reduce the
miscellaneous expenses of the companies. In the USA, many banks have reduced
the number of their branches, as millennials prefer to perform online
transactions instead of visiting the branches.
Methods of Identity Verification
The following are the most commonly used methods for face
authentication:
Document Verification
In this step, the clients are asked to submit scanned copies
of their legal documents; the users have to take snaps of their papers and then
upload them on the portal issued by the organization. If both are the same,
then it means that the user is authentic, and if the client has submitted fake
documents, then the biometric system will reject the verification. The company
must take measures against high-risk individuals and deal with them
accordingly. The system makes sure that the customer has not given any
photoshopped or stolen image; the picture should be clear, and the user has to
submit the required data; any unnecessary information is immediately rejected.
Biometric Facial Verification
Face identity recognition is used to verify the facial
features of the clients; the scanner makes sure that the identity of the
customer is accurate. The client does not have to be present at a location; the
entire process is performed digitally. The user just has to stand still in
front of the camera, and the scanner performs the verification. It enhances the
surveillance of the location in which it is installed.
Liveness Detection
The hackers are also getting advanced, as they are driving
ways to bypass the security of the biometric system. They use phishing, 3D
masks and spoofing techniques to dodge the scanner. The legal authorities have
made it essential for the companies to comply with the latest regulations to
preserve their credentials. The live facial recognition technology is used to detect
all the spoofing attacks, and they make sure that the client is live. For this
purpose, the customers are asked to respond to the instructions on the screen.
The active and passive detection techniques are involved to ensure the client's
presence. The hackers can't dodge face detection and recognition because they
employ machine learning tools.
How Does Face Identity Recognition Enforce Efficiency in the Business?
Face liveness detection simplifies the activities of the
companies, as the employees do not have to perform the whole function. The
companies can save their salary expenses, office rent and other miscellaneous
charges. Therefore, integration of these technologies is crucial. These
solutions enhance the surveillance of the organizations and allow only
authentic clients to bypass the territory. The company can increase its
client's reach, as the satisfied users also aid in attracting more customers.
In this digital era, primarily, people select a company after reading reviews
from their social media pages. Therefore, organizations must ensure their
existing users are happy with the services.
Conclusion
Face liveness detection permits only verified individuals to
bypass the companies' security. The organizations have to ensure that they are
interacting with the right person; if they have on boarded any unauthentic
person, then such an individual will cause the risk. Therefore, businesses must
comply with the latest guidelines for face identity recognition. Otherwise,
they have to face heavy retribution. When any company faces cybercrime, the
brand image also deteriorates, as the people do not consider themselves safe
with such business.
If you wish to contribute to our blog, please email us on morhadotsan@gmail.com.
