Growing cyber-attacks and criminal activities necessitate the integration of current security systems by enterprises. Organizations that do not implement sufficient security measures risk contracting significant financial losses and legal issues. Furthermore, a lack of sufficient security renders organizations vulnerable to data breaches and presents a number of other difficulties, including reputational damage. As a result, major security mechanisms must be implemented to protect the landscape from all complications.
How Does Facial Recognition Work?
It is a complicated process to verify an identity using facial recognition features. This process works by using the following steps:
- Detection
A face is spotted in a picture or a video. This is done by using artificial intelligence and computer vision to identify an image using an input given to the system.
- Analysis
The system observes 80 main points on the face that have to be noticed during the verification process. These points include the distances between the eyes from the nose, jawline, depth of the eye sockets, and the shape of the cheekbones that make up the whole structure of the face.
- Faceprint
Faceprint is formed by using the measurements of the face and these measurements are then converted in the form of a mathematical formula called face print.
- Recognition
After the conversion of the data, the face is compared with the face stored in the existing database. If a face with similar features exists, then the person is identified.
Examples of Facial Verification Technology
Nowadays, mobile phones contain high-quality cameras that have paved the way for facial authentication and identification. It is observed that each iPhone after the iPhone X contains Face ID technology. By using this technology, one can easily and instantly unlock their phones. In addition, the phone’s software has 3-dimensional vision capture that is difficult to trick and manipulate using silicon masks, fake identities, and fake pictures.
Moreover, advertisements also use face recognition technology to identify the genders and ages in order to offer relevant ads. By doing this, brands can also increase their sale and keep the desired product of their customers always in stock so that they can buy any time and every time from the outlet.
Furthermore, other examples of the technology include Amazon, Alibaba, and MasterCard which use face verification methods to proceed with payments. It is also known as a selfie pay. Besides, the technology is also used by Google Art and Culture to identify museum look-alikes by matching the portrait faceprint with the real person’s faceprint.
Benefits of the Technology
The technology is used in several industries for various purposes. Here are some of its advantages given below:
- Facial verification eliminates the need for physical contact with the devices, unlike other biometric verification devices such as fingerprint scans.
- Such verification methods are more secure than using passwords and PINs that can be easily replicated. Face verification systems and iris scans are safe because they use unique facial features and iris patterns that can’t be imitated.
- This is a fast and convenient method of verification that requires no wait. It is extremely beneficial to verify identities at airports, hotels, and other places where verification is mandatory.
- This technology can be easily integrated with other existing security systems like mobile applications, and other online platforms.
- It is an effective technology to prevent fraud. It is also used by financial organizations and KYC processes.
Factors to Look for in the Technology
When opting for face verification online technology, there are several factors that need to be considered in terms of effectiveness, accuracy, and ethical use.
- Liveness Checks: It is important to ensure liveness detection in the system because it ensures that the person in front of the camera is physically present.
- Advanced Algorithms: These algorithms include AI, CNN (Convolutional Neural Networks), and machine learning. This allows the system to improve over time to maintain accuracy.
- Deepfake Checks: The system should have the ability to distinguish between the real and the fake images to prevent spoofing attacks.
- Accuracy: The technology should be accurate and identify people correctly. If the system fails to do so, it can lead to big financial and physical losses.
Privacy Concerns
The system captures the facial data of an individual without their consent. This raises privacy concerns by people that where their data is used other than for verification. Their concern is absolutely valid because this facial data can be hacked. This information can also be used by mass surveillance and also by advertisers to track people.
Conclusion
Increasing criminal activity and fraudster attacks necessitate the use of the most reliable and trustworthy security methods by enterprises. Automated online face verification technology aids in selecting the most appropriate modern solution. Passwords and other traditional approaches are no longer effective since they are subject to fraudulent strategies.
