Liveness Detection & OCR Technology: Smooth Customer Onboarding Combination

Every business is focused on securing and successful customer onboarding techniques to balance trust and security. However, liveness detection and OCR technology is one of the major tools for this method. Liveness detection upholds that the person connecting with the system is physically present, protecting against identity fraud via fabricated images or videos. Meanwhile, the optical character recognition system eliminates and confirms the essential data from documents, like IDs or passports, reinforcing swift and precise onboarding. When these two technologies combine, smooth customer verification methods make businesses capable of safe customer data while facilitating a smooth experience.

What is Liveness Detection in Customer Onboarding?

Liveness detection is a biometric verification process that uses the facial recognition system to check a person’s identity. Analyzing the customer’s facial features and expressions confirms that the person appearing in front of the camera is physically present. However, this technology provides security varieties and identity verification aims by facilitating the critical protection layers. Liveness detection has a major role in customer onboarding to prevent fraud, and blocking strives to use fake documents or images to access sensitive information.

For instance, a bank can require liveness detection before accessing customers to create accounts or secure their funds and sensitive personal data. Furthermore, the use of liveness detection and OCR prominently increases the accuracy of identity verification methods. The OCR technology eliminates the text or image’s number while facilitating businesses to check the documents speedily and proficiently.

Types of Liveness Detection in Customer Onboarding

Liveness detection in customer onboarding is important to confirm that the person being checked is physically available and not utilizing fraud methods, for instance, still 3D images or deepfakes. Moreover, liveness detection primarily depends on two major methods, active and passive. Let’s discuss both of them step by step:

Active Liveness Detection

This liveness detection asks the users to perform some particular actions while appearing in the identity verification methods. All these actions will include eyes blinking, head-turning, smiling, or other particular on-screen cues. Moreover, the system will examine the individual’s movement to check the person’s interactions with the camera to ensure if it’s a live human or a static image. Besides, active liveness detection is specifically useful to fight against spoofing attacks where scammers use images, masks, or pre-existing videos to fool the systems.

This procedure is extremely safe and is being used in different industries where accurate identity verification is critical, for instance, banking, financial services, and government interventions. Actively engaging the users enables this method to generate an extra protection layer during customer onboarding, confirming that only an authentic person can get access to sensitive technology. Liveness detection is a useful method but due to the complex instructions, it frustrates the users. The instructions prolong the procedure and minimize the user satisfaction experiences during onboarding.

Passive Liveness Detection

Passive liveness detection works without requiring any user actions. However, it utilizes the latest AI algorithms to check the individual’s facial features, skin textures, the eye’s natural counterparts, and the entire face to check life’s signs. It also impressively comprehends the live individual and spoof attacks, like the use of deepfake images or videos without demanding the user’s presence or particular gestures. The system works in the background and facilitates a continuous user experience. This process enables passive liveness detection best for industries that categorize the smooth customer onboarding methods, such as e-commerce forums. It is also useful for telemedicine and different social media platforms. Though passive liveness detection is more adaptable, it is still highly efficient to confirm the person’s authenticity is being checked.

OCR Technology’s Role in Simplifying Onboarding

The AI-based OCR systems have a major role in recent customer onboarding by automated document verification methods. With the alteration of physical documents, such as IDs and passports online, and computer-assessed data, businesses can spend less time and minimize mistakes that usually happen in manual data entry. Moreover, this method smooths the customer onboarding journey for both customers and companies while facilitating speedy, and extremely smooth adventures.

However, AI-driven optical character recognition enables companies to successfully eliminate and authenticate main information. This information includes customer names, addresses, and identification numbers directly from examined documents. This removes the manual check requirements, minimizes processing times, and confirms data precision. The use of an AI-driven optical character recognition system assists businesses in functioning more successfully and enhancing customer satisfaction. It also increases document processing and integrates with different AI tools that make the customer onboarding process fast and secure.

Working Mechanism of Liveness Detection & OCR

The Liveness detection system is an advanced technology that reinforces the person’s authenticity and identity by engaging the AI. It also impacts the tools, such as facial recognition, and OCR technology to examine data and validate the individuals. Let’s take the facial recognition systems that retain the person’s image and contrast it to formal photo identification, like a passport or driver’s license. However, this method confirms that the person who is present before the camera relates with the one in the ID documents.

Furthermore, OCR has a huge role in identity validation by scrutinizing and reading text from the identity documents. This method assists in ensuring that the person presenting the document is named on it. Matter of fact, liveness detection is critical for digital customer onboarding, facilitating businesses to safely and successfully validate identities by using AI-generated systems like facial recognition and optical character recognition that not only increase fraud prevention but also confirm that only legal customers are enrolled speedily and precisely.

Major Benefits of Liveness Detection & OCR for Businesses

Businesses are transitioning from traditional to online and the demand for secure and useful biometric onboarding solutions is also growing. Liveness detection and OCR technology offer strong techniques to confirm identity and document verification, improving the onboarding experience. Let’s discuss some of the important benefits that demonstrate how technologies are critical for new businesses:

• Liveness detection confirms that only an authentic person can check and protect against fabricated photos or videos during identity authentication. 
• However, OCR technology allows businesses to validate document-based identities speedily, smoothening the onboarding methods and minimizing errors. 
• AI-driven liveness detection assists companies in validating persons immediately, providing robust protection against identity fraud. 
• Smooth onboarding fosters customer satisfaction by offering a speedy and safe method by enhancing trust in the business. 
• Machine-driven verification reduces operational costs and human errors, making efficiency better. 

New Trends in Digital Customer Onboarding Technologies

AI-driven identity verification systems are now speedy and accurate in customer authentication. Biometric onboarding which provides minimized onboarding time and huge convenience via techniques like facial recognition is replacing the previous document-based confirmation, facilitating safety and user ease. 

However, selfie verification has received amazing acceptance, providing immediate customer identity authorization. Furthermore, blockchain technology confirms and reinforces data safety and protects against fraud during the customer onboarding process. KYC automation methods increase the speed and observance whereas remote onboarding implementation spreads obtainability for global customers. Behavioral analytics, on the other hand, enabled companies to find fraud patterns at the start of the onboarding process.

FACIA Smooth & Secure Customer Onboarding Process

FACIA provides strong digital customer onboarding solutions via its latest face-liveness detection systems. It protects deepfakes and spoofing attempts. This technology has 1-sec verification methods, combined with 99.9% precision, enabling the companies to validate users speedily and efficiently. The platform incorporates both active and passive liveness detection that allows users to perform an act or check the background to detect any exploitation signs. FACIA’s AI-driven 3D liveness detection method protects against spoofing attacks, such as masks, videos, or deepfakes. Businesses can get the solutions through on-premises or cloud incorporation alongside customized options.