Automated Biometric Identification System (ABIS): Revolutionizing Identity Verification & Security

Automated Biometric Identification System: Reshaping  the Biometric System 

Automated Biometric identification Systems use human features for Biometric identification such as Facial recognition, IRIS scan, Liveness detection, and age verification. It provides more reliability and security by detecting Deepfakes, providing passwordless authentications, finding and eliminating account duplication using Facial search. This system is a reconstructing technology. It provides strapping solutions for various sectors to enhance the efficiency and integrity of automated systems. 

These systems are rapidly being used by various sectors including government, law enforcement, border control, healthcare, and banking where efficiency of identification management is pivotal. Automated identification systems are not only enhancing security but also sleeking operations by automating the complexity of the identification process on a global level. For example in African countries like Nigeria,It is used for voter registration to eliminate the risks of electoral rigging in order to maintain the transparency of the electoral system.

Historical evaluation of the Automated Biometric Identification system:

The development of Automated biometric verification started in the late 19’s with manual methods like Fingerprint verification. The early research on the automation of fingerprints led to the groundwork of an Automated biometric identification system.

In the late 1980s, technological advancement grew the seeds of the First automated fingerprint identification systems(ASFIS). The era of the 2000s revolutionized the automated system and expanded into various applications such as Mobile devices, National ID programs and passports with modifications including IRIS scans, facial recognition, and Biometric identification.This system is an advanced technological system that uses Facial recognition to automatically verify the individual’s identity at a large scale throughout the globe. In the UAE, this system is used for border security to match immigrants’ biometrics in real-time. 

With technological advancement, the 2010s era introduced more features like Facial biometric identification, and IRIS scans enhancing the overall security and reliability of the automation system.Facial recognition identifies a person’s identity by recognizing their facial features.

What is ABIS: Difference between  Biometric Identification and Biometric Verification

The primary  difference between biometric identification and biometric verification is that biometric identification checks a person’s identity by matching their biometric information against the already stored database,while biometric verification checks a person’s particular  stored record by matching it with their biometric information.It’s a one-to-one (1:1) comparison system.Biometric identification confirms who a person is;while biometric verification confirms they  are indeed that person as identified.

How Automated Biometric identification System works:

The ABIS system works through a distinctive series of steps mainly by four different steps. It consists of different identity checks like facial recognition, iris scan, and fingerprint identification. 

• Firstly during the enrollment process of biometric systems, biometric data like fingerprints, facial images, or iris scans are captured.
• The second step is  Deduplication where the system checks to avoid multiple registrations of already registered identities.
• In the third phase, the system verifies the new identities with already registered identities.
• The fourth and last step of the identification process includes reporting and analysis through which the administration can access insights and database progress.

Applications of the Automated Biometric Identification System:

In the era of technological revolution, the Automated system plays a critical role in every sphere of life including government, law enforcement, border control, healthcare, and the banking system. 

Border control:

Automated systems have increased border security by verifying travelers’ identities using biometric visas and biometric passports, a smooth-running entry and exit process. For example, U.S Customs and Border Protection (CBP) uses facial biometrics for the security of travel.  

Law Enforcement facilitation:

The use of Automated Biometric Identification Systems in criminal investigation facilitation is controversial, their use by the Law enforcement agencies is common and cannot be ignored. The biometric systems facilitate criminal investigation by matching biometric data like fingerprints, facial images and iris scans against already existing databases to verify suspects and their link with criminal activities. For example, the FBI’s(federal Board of Investigation) Next Generation Identification system encompasses iris recognition technology for correct identification by linking iris images with fingerprint records

Banking and Financial services

Automated systems are transforming banking and financial services by enhancing their security and improving customer services. They prevent fraud and provide real-time monitoring using biometric identities such as fingerprints, and facial recognition by reducing the traditional methods of identification like PINs and passwords.

Healthcare

The adoption of ABIS in healthcare brought significant changes. By utilizing unique biometric identifiers such as fingerprints, facial recognition, and iris scans, this system ensures reliable patient identification and reduces the risk of medical errors. Biometric identification adds a layer of security to electronic health records(EHRs).

The  Future of Automated Biometric Identification Systems:

The future of Automated Biometric Identification systems has started evolving by improving its efficiency and accuracy in providing advanced features like facial biometrics and IRIS recognition.These systems are widely used in everyday life to detect Deepfakes and provide immigrants verification and identification at airports and in the Electoral system to increase efficiency and reliability.For example, Kenya used the  Biometric Voter Identification (BVR) system during the 2013-2017 elections,and voters were registered with their facial identities to detect and remove duplicate and underage voters to increase the integrity of the electoral process.For example At Singapore Changi Airport ,now you can check in only by going through security, and board your flight just by scanning your face and fingerprints through Liveness detection.Smartphones like the iPhone use FaceId,which keeps your facial data secure on the device.

Automated systems will soon be smart enough to work without any physical contact,and recognize people even with masks or in  poor lighting. Facial recognition and IRIS recognition are becoming the future of biometric identification.They are difficult to manipulate and easily installed on phones,Airports,offices,and even government systems. 

Conclusion:

Automated biometric identification systems use exceptional and advanced biological traits like facial features or IRIS scans  to verify a person’s identity.Facial recognition is being widely used by different industries like Banking and finance , Criminal Investigation Departments, Security agencies ,and different governmental institutions.It is serving as a transforming outfit of Automated Biometric Systems to enhance the efficiency and security of biometric verification by making it more reliable and hassle free. 

However, choosing the most efficient biometric system in this technological era with increasing security threats (such as Deepfakes) is very crucial.With the presence of these AI-generated threats a secure and reliable facial recognition and Liveness detection system is necessary for private and public sector institutions alike. 

FACIA uses advanced liveness detection and age estimation  which is powered by Al to ensure biometric verification with age-based access control.FACIA’s accuracy rates are high with a False Acceptance Rate(FAR) of almost 0% at less than 1% percent Rejection Rate(FRR).it provides organizations with effective and market-leading identity management across different sectors, including law enforcement, border control, healthcare and financial services.It is the best fit and necessary to make your system more secure and free from deepfake and spoofing attacks.