November 13, 2019
Biometric verification, including face recognition, iris scan, fingerprints, and palm recognition is being widely used in the corporate sector for security and ID verification purposes. The booming usage of facial recognition technology is streamlining the identity verification process and it is also more accurate than other forms of biometrics. A survey shows that 67% of people are comfortable with biometric verification which is expected to increase in the coming years. If on one side, biometric authentication is introducing high-level security, on the other side, it is convenient for the public to authenticate themselves without spending a huge amount of time on manual verification processes. Biometric verification is being widely used in different sectors to mitigate the risk of fraudulent activities.
Also, business productivity increases because work is done in less time. Global biometric system market revenue was 21.8 billion USD in 2018. It is expected to grow even more in the course of the next few years. All types of businesses and organizations are utilizing biometrics for an array of operations. There are many use cases of biometrics, but a few of them have gained acclaim in various industries. A few of these use cases are biometric identity verification, fraud prevention, digital signups, online access, law enforcement, etc.
The following are some use cases of biometric verification technology:
In the travel industry, biometric verification solutions are helping in identifying travelers. Facial verification techniques are used in the US at various border crossings.
Also, at airports for international flights, some countries apply strict rules regarding biometric verification of passengers. Biometrics provide reliable security measures in the travel industry and speed up the passenger authentication process by shortening queues and waiting time.
Uber has long been facing security issues and has now deployed facial verification technology to authenticate the partner driver at the time of registration. This has decreased security risks because face verification technology is hard to fool.
Digital ID Cards
A large number of countries have implemented a high level of security by introducing digital ID cards for citizens. These ID cards contain electronic information of citizen biometrics, images and other data. This information is stored in ID cards in a way that makes it easy for machines to read.
Also, criminals and identity thieves find it far more difficult to copy and duplicate ID cards. This results in mitigating the risks of ID card fraud and avoids security issues related to it.
Biometric verification is used to authenticate students at colleges and also to mark their attendance in classrooms. It allows only authentic persons to enter school/college premises, providing a secure environment. Face verification technology is also being used in classrooms for student behavior analysis, based on their facial expressions at any point during a lecture. This helps educators to understand where students are having difficulties and is also helpful in enhancing teacher lecture strategies.
In an online marketplace, customer identity verification is ensured using biometric techniques. These techniques mostly include facial recognition technology. A person is asked to capture a live picture and upload it, this picture is verified against the picture on the ID card. If both match, the customer is verified, otherwise his request is rejected. This advancement in the online marketplace has resulted in the reduction of online fraud and payment scams. Businesses using biometric techniques not only include e-commerce stores, but also online banks and other online payment portals.
Technical Content writing is my passion. I have broad experience in writing for the technical field. I started my writing at the age of sixteen when I was in college. Now I’m already writing for contribution sites as an independent influencer. I wrote many articles on medium and many of them are published in various publications. I wrote many case studies for businesses to let them know the real need for digital transformation for their business. Nowadays am writing about Facial Recognition and AML(Anti Money Laundering).