Artificial intelligence-based face recognition technology has advanced in recent years. People encounter it every day, from face recognition on the smartphone to airport security screening. So how does it function? What role does machine learning play in facial recognition? What sectors require such advanced technologies? Let’s first look at face recognition solutions.
Face recognition solutions have the capacity to identify people based solely on their distinctive facial traits. These systems use an examination of characteristics such as the distance between their two eyes, the curve of an individual's nose, or perhaps the length of their face to recognize similar people. This creates a distinct biometric "faceprint," which it then saves in a database. Because of this technology, which takes no time to identify every individual, a company can save time as well as resources.
How Do Face Recognition Solutions Work?
One of the most costly biometric technologies available today is face authentication. The question that arises here is Why? Well, because it is simple to utilize, incorporate, and is going through continuous improvement. Face identification and document validation are effective ways to deter identity fraud. Criminals cannot exploit any gaps in the facial recognition system's procedure. The four procedures carried out by a machine learning-based face recognition system are as follows:
Face Detection
In order for the software to determine someone's identity, it must recognize their face first. Most cell phones in today's technologically advanced age feature built-in face-detecting technologies. Additionally, this is how Snapchat applies its various effects, as well as how multiple apps use different techniques to add effects to photos.
Face Alignment
Software may have trouble identifying faces who aren't standing directly in front of the camera. Thus, it is critical to creating facial landmarks in order to automate the alignment of an individual's face. The system for biometric facial recognition that is in use today then recognizes these landmarks. Because of this, turning the face into a focus point is simple.
Feature Extraction
In this process, the software extracts facial traits from a face and compares them to a database of unique faces. A machine-learning model using a deep neural network can recognize a face using embedding techniques.
Face Recognition
Algorithms for machine learning compare each face to the database of recognized faces by employing its measurements. It returns as matching the face that most closely resembles the measurements.
Face Verification
The final phase involves the use of ML algorithms to determine how well the faces in consideration match.
Industries that Need Face Recognition Solutions
Let’s have a look at the benefits of facial recognition in different sectors.
Banks and Financial Institutions
Securing consumer transactions and information is a critical responsibility for financial institutions like banks. Biometric authentication like face recognition solutions is a machine-learning technology that banking firms use to protect accounts and filter out fakers. As a result, simply persons who have permission can access an existing profile.
E-commerce
False chargeback allegations are causing e-commerce firms to lose money more and more frequently. However, online facial recognition technology helps to confirm whether or not the client has permission to submit a chargeback complaint. Online retailers also use facial recognition technologies to secure consumer accounts and financial information, much like banks do.
Retail Stores
Retail store managers can identify potential shoplifters and suspected criminals with the help of facial recognition technology. This is how the software carefully monitors all criminals and minimizes the risk they can pose to the retail sector.
Law Enforcement
There are a plethora of applications for a face recognition solution in the legal system. Governments like the UAE have invested in technology to protect subway stations from hijackers, identify drivers who violate traffic laws, and catch criminals fleeing. Thus, it is a great solution for all the law enforcement sectors to keep fraudsters away.
Travel Sector
The airline sector frequently uses facial recognition technology to speed up and increase the security of airport clearance for travelers. Visitors can easily be authenticated and onboarded with a facial scan rather than manually exhibiting an identity card or passport. It is undoubtedly a greater security service for the travel industry to prevent itself from criminal activities.
Final Thoughts
Face recognition solutions are the best way to verify clients for many corporate sectors. Within no time, face verification produces incredibly precise findings. International businesses are able to quickly comply with rules, onboard new clients, and prevent fraud due to the integration of such efficient and quick technologies. No matter how many parameters a criminal modifies to penetrate a firm's system, a robust face authentication service thwarts all such attempts right from the beginning.