Instruments and systems that can identify a person based on their biological traits are referred to as biometric technology. Currently, access control and data recording are two of the many applications that use biometric authentication systems including DNA matching, retina recognition, fingerprint recognition, and facial recognition.
You may anticipate widespread adoption of these technologies across a variety of industries as these breakthroughs continue to develop. To be more precise, facial recognition is one biometric technology that has become very popular. It will be very helpful to have a better grasp of the technology and how it might affect your firm, since its market share is predicted to increase to $11.62 billion by 2026.
How Facial Recognition Works
Face detection
A person will stare directly at a camera while they wait for the device to recognize their face.
Face geometry analysis
Their image is taken by the camera, which then analyses it based on many nodal points, including the space between their eyes, their cheekbones, their jawline, and more.
Facial signatures comparison
Based on each nodal point, the software generates a facial signature, which is then converted into a number and stored in the application database. The resultant signature is more generally referred to as a person’s faceprint.
Matching
The person’s credentials, such as their age, name, and residence, will be connected to the faceprint once it has been created. The facial recognition software will go through a procedure known as 1:N matching upon entering a system. The person will be granted access after being verified.
Use cases and applications
As we’ve seen, machine learning facial recognition software is widely used and has practically infinite uses. Let’s now examine some of the most well-known facial recognition software programs that are laying the foundation for a safer and more productive future.
Device & access security
If we only picture thrilling moments from classic spy movies, such as a character using a face scanner to open a secret lair, now, technology similar to that is available in everyone’s hands. Face recognition technology enables us to restrict who has access to our gadgets in order to ensure privacy on everything from smartphones to tablets and smart cars. It is possible to only allow owners access to private property by requiring face authorization for entire automobiles and room
Shoplifting & crime
If the firm has face recognition security systems in place to compare the flow of customers to shoplifters from their database, people who manage to shoplift once won’t have much luck doing it again. If a direct match is found, local law enforcement or security may frequently be alerted and detain the perpetrator right away. This can be used to all kinds of establishments, including local law enforcement’s assistance in effectively managing crime in the area.
Border control
If you’ve ever passed an international border, it shouldn’t surprise you that border officials use a facial scan to monitor immigration and prevent criminals from entering. Before a person is “cleared” to enter the border, their faces are scanned and checked against a database. This makes tracking national security simpler, quicker, and more fruitful.
Hospitals & assisted living
Modern healthcare facilities and assisted living facilities are using cameras with facial recognition technology as a security measure. They can assist in tracking down wandering patients and ensuring that nobody is left unaccounted for. This can help in the detection of strangers who manage to enter the institution.
Conclusion
As long as you comprehend the core elements of the process, such as face detection, alignment, measurement, and verification, it has become simpler and more accessible to take on developing your own face recognition software using machine learning with the easily available datasets and libraries.