Introduction

Biometric scanning technology has been used for decades to help businesses track employee attendance and manage access control to secure areas. However, the convergence of biometric scanning technology with artificial intelligence (AI) is bringing about unprecedented advancements in this field. In this blog, we will explore how AI is influencing the development of biometric scanning technology, and where this convergence could lead in the future.

Examples of AI in Biometric Scanning

AI algorithms have greatly improved the accuracy and speed of biometric scanning. For example, facial recognition technology can now identify individuals with high accuracy even in low-light environments or when they are wearing a mask. AI-powered voice recognition systems can also identify individuals by analysing their unique voice patterns. Another example of AI in biometric scanning is the use of behavioural biometrics, which analyses an individual’s patterns of behaviour to authenticate their identity. For instance, how someone types on a keyboard or moves their mouse can be used as a unique identifier.

Future Applications

The convergence of AI and biometric scanning technology has the potential to revolutionise many industries, including healthcare, finance, and retail. In healthcare, AI-powered biometric scanning can help to identify patients and monitor their vital signs remotely. In finance, biometric authentication can be used to provide secure access to financial accounts and prevent fraud. In retail, biometric scanning can be used to personalise customer experiences and prevent theft.

Early Adopters

Industries that require high-security protocols, such as the government and military, are early adopters of AI-powered biometric scanning technology. Additionally, countries such as China, the United States, and Japan are at the forefront of AI development and are leading the way in the adoption of biometric scanning technology.

Local Examples

In Australia, AI and biometrics are being used to improve airport security. For example, the government’s SmartGate system uses facial recognition technology to verify the identities of travellers at airports. Additionally, some banks in Australia are using voice recognition technology to authenticate customers over the phone. While the CSIRO has one of the world’s largest applied AI capabilities, with over a thousand researchers working on a wide range of AI and data science projects. Researchers there are using artificial intelligence to address issues ranging from bushfire management to increasing agricultural productivity, improving cybersecurity, and protecting environments, including the Great Barrier Reef. Collaboration is a key element of the CSIRO too together with industry partners to apply AI, such as assisting manufacturers in using computer vision to increase production and ensure factory floor safety.

Learn More

As AI continues to influence the development of biometric scanning technology, it is crucial for businesses to stay up to date with these advancements. At PeopleKey, we provide innovative biometric time and attendance solutions. Contact us today to learn more about how we can help your business improve its security and attendance tracking systems.