Biometrics are increasingly being used in a variety of home and business security systems. Given the specific characteristics of your genetics and behaviors, this can seem insurmountable. However, many people are wary of using biometric identity as the only source of authentication.

Modern cybersecurity is focused on reducing the dangers associated with this reliable security solution because traditional passwords have long been a concern for security systems. Biometrics, which links identity to bodily traits and behavioral tendencies, addresses this issue.

Data Labeling & Biometric Operations

The need to rethink how to approach data labeling in various attributes is significant. The current categories can be limited and not reflective of the diversity of human identities, and inconsistencies are present in the labeling of soft biometric attributes in facial image data sets.

The reliability and quality of machine learning algorithms can be significantly impacted by how data is labeled. When establishing demographic variables, it is crucial to keep an eye on the label quality, especially in data sets involving biometric features like face photographs, iris, fingerprints, and more.

Examples of Biometric Security

• Voice Recognition
• Fingerprint Scanning
• Facial Recognition
• Iris Recognition
• Heart-Rate Sensors

Sensitive documents and valuables are protected using advanced biometric technology. The British bank Halifax is developing gadgets that monitor heartbeat to confirm customers’ identities, and Citibank already utilizes speech recognition. Ford is even thinking about installing biometric sensors in automobiles.

How business sectors are deploying Biometric technology into their Operations?

In both residential and commercial buildings, facial recognition technology is widely used to grant access to pre-registered visitors, family members, and authorized personnel while preventing illegal people from entering. Examples are

• Entrance to business facilities for staff and visitors
• Residential and business buildings can use smart locks.
• Residential and commercial buildings with smart elevators
• Access control systems for equipment and resources that are restricted

In everything from research facilities, hospitals, factories, and warehouses to agriculture and mining, there is a vast array of specialized equipment and technology that requires strict access controls, operational oversight, tracking, and reporting. Access to restricted equipment and resources can be kept safe thanks to face recognition technology. 

Factories and storage facilities are needed for the manufacture of consumer goods. Additionally, they store goods before transporting them around the globe via vast and complex supply chain networks. Only people with the proper authorizations and credentials are allowed access to the usage of machinery, thanks to facial recognition systems, which also ensure that only authorized individuals may enter restricted areas.

How Data Labeling can help with Biometric business use cases and more?

Facial recognition technology works by comparing real-time photographs to a database of pre-enrolled identities. Data labeling involves detecting unprocessed data (such as photos, text files, videos, etc.) and adding one or more insightful labels to provide the data context so that a machine learning model may learn from it.

Labels might say, for instance, if an x-ray shows a tumor or not, which words were spoken in an audio clip, or whether a picture of a bird or an automobile. Data labeling is essential for a number of use cases, including speech/Facial/iris recognition, computer vision, and natural language processing.

Contact us to know how Data Labeler can help you with your specific Use Case.