Facial recognition captures an image of an individual’s face and analyses it through computer algorithms. This process involves identifying and extracting the unique facial features within the image and then converting them into mathematical data.
When an individual undergoes a facial recognition scan, the software will scour through the existing records of a person’s identity and find possible matches to determine if the scanned individual is real or not.
It improves security by controlling access to business premises and protecting customer assets through facial scanning.
Facial recognition combats identity theft by utilising unique facial data as an identifier, making it harder for fraudsters to steal or forge records.
Financial Institutions can authenticate identities and authorise transactions remotely using smartphones — providing convenience and reducing manual screening costs.
Facial recognition provides a quick, secure, and accurate method of user authentication. It eliminates the drawbacks associated with human-operated systems.
AI-powered facial recognition minimises physical contact and human interaction. It streamlines processes and minimises touchpoints in tasks like accessing smartphones and ATMs.
While facial recognition technology is more precise than the human eye, it can still encounter difficulties in recognising individuals with different skin tones or from various demographics.
Facial recognition technology raises significant legal and privacy concerns.