How Face Search Solutions Assist Businesses Identify Real CustomersAuthor: Carter | 29 Dec 2023
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Businesses are embracing digitisation with the advent of technology. Whilst they automate their operations, there is a major issue of incorporating online identity verification to simplify their core operations such as onboarding, partnerships, and other daily processes. Finding the solution that protects the identity and proves to be a core tool in the future is a challenge. Speaking of biometrics, the face recognition solution is a contactless approach growing worldwide and is expected to reach $10 billion by 2030. With the face recognition industry booming at a great pace, facial solutions like face search ID come in handy for businesses to ensure compliance and identify customers on the go.
- Understanding the difference between face recognition and Face Search.
- Benefits businesses can take from face search solutions.
- Technologies that power face search solutions across global industries.
What is Face Search?
Face search is the technique of identifying individuals. It is part of face analyser technology that makes facial characteristics a unique element for each individual. This allows businesses to easily search for customers, investors, stakeholders, and the workforce. Face search is the next generation of biometric search that is much more secure and tamper-proof than other methods of searching identities.
Many tools are available that work on the face search methodology. Google image search is a prime example of this technology that identifies the person in the image.
In terms of biometric security systems, face search offers a comprehensive solution to identify people and is used across multiple industries especially, by law enforcement and security agencies.
What are the Advantages of Face Search Solutions?
Face search AI is becoming the new norm after the drastic shift of industries towards artificial intelligence-based products. Now, some companies even embed a small part of this solution into software that works directly from the smartphone. It has a lot of upsides as it ensures security while reducing friction when it comes to identity verification and user search. Here are the top 3 advantages firms take from replacing traditional verification systems with face search ID solutions:
1. Easy to Integrate
Face search solutions are built on the foundation of face recognition technology which means that incorporating a leading biometric facial solution can easily integrate the face search feature to the security system. It just requires a photo with the face clearly visible to search from an existing repository of stored facial information. For real-time face search, these systems are capable of scanning faces directly from the camera on ideal conditions to extract facial features and look for them in the database.
2. Enhanced Security
Searching for people using their facial characteristics is more secure than traditional methods such as names or numbers. Those techniques were time-consuming and complex as many people have the same names and nearly matching IDs resulting in ambiguity and misunderstandings. With Face search AI, firms can quickly verify individuals. It is much faster than fingerprint or retina scans and has minimum touchpoints. Face search AI provides a convenient way of tracking specific individuals and is a widely used solution across cybersecurity departments.
3. Higher Accuracy
The accuracy of face search engines depends on the model they are trained on, and it is mostly higher than other search algorithms. For instance, using a mobile or email address to find a customer can have issues like duplication, and wrong addresses given by the user. The face recognition engine maps out the face of the customer during registration and uses it as the credential to search. This is a more convenient way and protects business assets and privacy.
Unravelling the Technologies Behind Face Search Solutions
AI plays a crucial role in creating face search solutions but it is just the surface, many different technologies work behind the scenes to power an efficient face search solution. Here are the top three technologies that form facial biometric software:
Convolutional Neural Network (CNN)
Convolutional neural networks are part of machine learning training algorithms that play an integral role in face search solutions. CNN picks out distinctive features from the images. These features, known as landmarks, are then fed into the K-Nearest Neighbour (KNN) algorithm which compares the facial key points obtained from the input image with the stored facial keypoint values in the database. This whole process helps in identifying a person based on the similarity between the facial features of the input image and the ones recorded during the person’s registration process.
Computer vision is a subfield of AI which significantly helps the face search systems learn from digital data such as images, videos and other visual inputs. In the area of facial recognition, computers use techniques like extracting pixels and applying machine learning or deep learning to perform tasks. One common example is face matching and searches found on smartphones. Other methods include creating 3D scenes, processing images and videos, segmenting scenes, and indexing the content of videos and images.
Facial Geometry Recognition
When it comes to face liveness detection and recognition systems or software, face geometry recognition is an important element. The geometric approach revolves around recognizing distinctive features. Photo-metric statistical methods come into play to extract values from an image. These values are then compared to established patterns to eliminate any differences. Additionally, there are two broader categories known as feature-based and holistic models. Both these models assist in face search algorithms and enable businesses to redefine their biometric solutions.
How Facia Can Help
Face search is a key part of today’s world as traditional methods are easy enough for bad actors to bypass. Security departments utilise face search solutions to track suspicious activity using facial characteristics. Businesses lacking proper face search solutions across their organisations, don’t worry as Facia has got you covered. We provide a 1:N face matching solution that offers 99% accuracy in identifying faces. Our AI-powered recognition and matching not only is secure but also provides results in real-time and has an easy integration module for On-Prem and SaaS businesses. Contact us today for a complete walkthrough of how face search works or get a free demo to try it yourself!
Frequently Asked Questions
A face search solution is an approach to identifying faces on the go using modern technology. It matches the facial characteristics of people using computer vision and convolutional neural networks.
There are two major types of face search solutions. 2D and 3D. The two-dimensional technology uses image processing while the 3D face search solution uses complete three-dimensional mapping of the face.
With face search solutions, businesses can easily identify their customers, investors, and stakeholders. It also helps in new customer onboarding with seamless face verification from global databases.
Many ethical concerns are related to face search solutions such as misinformation, privacy leaks, and lack of informed consent and transparency.
Face search solutions are built on AI models. Their accuracy depends on how the model is trained and on which dataset. Different face search solutions have unique accuracies but the ones built on highly sophisticated AI tend to be more accurate.