A Facial Recognition System is a tool that can identify a human face from a digital image against a set of images, and is often used to verify users via ID verification services. It works by detecting and quantifying different face characteristics in a given picture.

Although facial recognition systems as biometric technology has poorer accuracy than iris recognition and fingerprint recognition, they are commonly used due to its contactless approach.

The goal of this module is to collect the face traits required to identify an employee so that they may be appropriately recognised while recording their attendance.

In this article, we will look at the facial recognition system and discuss its benefits and drawbacks.

Based on its two-dimensional picture and accompanying traits, facial recognition algorithms seek to recognise a human face, a three-dimensional object, despite appearance variations with illumination and facial expression.

Facial recognition has been used in sophisticated human-computer interactions and picture indexing. Face identification is a difficult pattern recognition issue in computers, despite the fact that people can recognise faces without much effort.

Conventional Methods

Some face recognition algorithms capture a ‘landmark’ or a characteristic from a picture of the subject’s face to identify facial characteristics.

An algorithm, for example, may examine the relative location, size, or form of the eyes, nose, cheekbones, jaw, and so on. These qualities are then used to find additional photos with similar characteristics.

Other techniques might standardise a library of face photographs before compressing the data, keeping just the information in the image that is important for face identification.

3D Identification

The three-dimensional face recognition approach captures information about the geometry of a face using 3D sensors. This data is then utilised to determine distinguishing elements on the face’s surface, such as the shape of the eye sockets, nose, and chin.

One benefit of 3D face recognition over other systems is that it is not impacted by changes in illumination. It can also recognise a face from various angles, including a profile view.

The Benefits and Drawbacks

Facial recognition software, in comparison to other biometric approaches, may be less accurate and efficient. Because face photos can vary greatly, quality standards are critical in facial recognition systems.

Lighting, emotion, posture, and noise during face capture can all have an impact on the effectiveness of facial recognition systems. Facial recognition has the greatest false acceptance and denial rates of any biometric system; hence, issues have been raised about the usefulness of facial recognition software in railway and airport security instances.

Benefits

• Enhanced security
• Simple integration
• Automated identification

Drawbacks

• Significant storage space is required.
• Detection vulnerability
• Potential privacy concerns

To Conclude

The facial recognition technology is an important component of SHRMpro since it is utilised to track employee attendance. It strikes the ideal mix between necessary security and ease of deployment and use.

Face recognition system applications

• Facial recognition technology is one of the new revolutionary technologies that assists businesses, organisations, and government agencies in increasing corporate efficiency. It aids in the identification and recognition of persons.
• It is an analytical technique that recognises people by matching their faces to images stored in a database. The algorithm then compares a person’s facial features to the facial features of the images stored in the database. This technology has garnered rapid acceptance globally among popular brands.
• It is a fast, highly potent system that precisely identifies and recognises faces for identity verification, customer identification, security, access control, and other uses.

• Finance, retail, government, and industry are among the industries that employ the technology. It can be used in automated teller machines, retail banking, airport check-in, client identification, and credit/debit card payments, among other places.

Myths about Facial Recognition Systems

• Preconceptions about Facial Recognition Systems:  This is not accurate since facial recognition can only recall a person’s face and not their identity.

• The system does not violate anyone’s privacy in any way. It is intended to prevent the person’s picture from being linked to other accounts or devices.

• The system is unlikely to identify you as you age. You are not required to believe this. The technology watches your face and provides you access every day. Even after years, the system does not forget you or fail to offer admission—it is updated to reflect the most recent developments.

• Do you believe these systems are expensive to install? This system is less expensive than other Biometric attendance systems. Pricing is done in accordance with the features.