The goal of this system is to collect the face traits required to identify an employee so that they can be appropriately recognised while documenting their attendance.
In this article, we will look at the facial recognition system and discuss its benefits and drawbacks.
Before we jump in, you can take a tour of our most efficient and robust HR Information System software here.
What is a Facial Recognition System?
A Facial Recognition System is a device that can identify a human face from a digital photo against a database of faces, 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 seamless approach.
Based on its two-dimensional picture and accompanying traits, facial recognition algorithms seek to recognise a human face, a 3-D object, despite appearance variations with illumination and facial expression.
Facial recognition has been used in sophisticated human-computer interactions and picture categorization. Face identification is a difficult pattern recognition issue in computers, despite the fact that people can recognise faces without much difficulty.
Traditional Methods
Some face recognition programs retrieve a 'landmark' or an attribute from a picture of the subject's face to identify facial characteristics.
An algorithm, for example, can 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 properties.
Other techniques might standardize a gallery of face photographs before compressing the data, keeping just the information in the picture that is important for face identification.
3-D Recognition
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
Face recognition, 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, position, and interference during face capture can all have an impact on the effectiveness of facial recognition systems. Facial recognition has the greatest false acceptance and rejection rates of any biometric system; hence, issues have been raised about the usefulness of face recognition software in railway and airport security instances.
Advantages
· Enhanced security
· Simple integration
· Automated Identification
Disadvantages
· Significant storage space is required.
· Detection vulnerability
· Potential privacy concerns
To Sum Up
The facial recognition technology is an important component of SHRMpro since it is used to track employee attendance. It strikes the optimum balance between necessary security and ease of deployment and use. You can also check out our HRIS software to gain greater insights of our product.
