Due to technological advancement, criminals use highly complex techniques to reach organizations illegally. They try to use fake IDs and fabricated documents to perform their illicit actions, such as money laundering, financial terrorism, and data breaches. Companies use biometric solutions to fight against face spoofing attacks and fake IDs.
Identity verification solutions are necessary to protect organizations from every kind of financial and reputational damage. As per the report, the global market revenue for identity verification solutions for the year 2017-2027 has reached 10.3 billion U.S. dollars. Biometric face liveness detection technology allows only legitimate clients to be on board.
This blog post will explore the working process, key benefits of biometric face liveness checking, and its significance regarding business security.
Role of Face Liveness Detection in Business Security
Businesses use passive liveness detection to acknowledge individuals’ authenticity while having them onboard. It enables firms to unveil fraudsters using fake IDs to reach companies for crimes and illegal activities. Many imposters use stolen IDs to reach financial institutions such as banks or insurance firms for payment breaches. In the case of weak identity verification methods, the organization has to suffer heavy financial losses and business decline. Biometric face verification solution allows face liveness checks to verify biological features in real time. Facial scanners harness the power of cutting-edge digital technology and include artificial intelligence (AI) and machine learning (ML) algorithms that identify any kind of spoofed data. These automated algorithms provide reliable identity verification solutions in a very short time.
What is the Process of Face Liveness Detection Technology?
The face liveness checking process mainly involves the following stages;
1. CaptureÂ
An individual is asked to face the camera, and a real-time face is captured. In the case of online verification, selfies or videos can be used to verify identity. Businesses use liveness detection for face recognition to unveil fraudsters. It empowers organizations to identify spoofing attacks.
2. AnalysisÂ
AI and ML robust algorithms perform 3D detection of the face captured. The algorithms are very sharp and detect if the face is unreal, such as in the case of a spoofed image or video. Sharp AI and ML algorithms analyze facial geometry, including skin tone, depth of eyes, the distance between chin and forehead, length of nose, contour of facial bones, etc.
3. Conversion
After 3D analysis, various mathematical internal formulas were used to convert facial data into digital face prints. Without converting facial geometry into digital form, it is not possible to process the identity verification process further.
4. StorageÂ
After the successful conversion of facial data into digital fingerprints, it is stored in the electronic database. It facilitates the biometric facial recognition process to work smoothly with the help of AI and ML pre-trained algorithms.
5. Verification
The biometric face liveness checking process includes various cross-matches to authenticate the provided data and reveal an individual’s identity. After successful cross-matching, the captured face is successfully verified.
6. Results
Face liveness verification results are stored in a record for the next processing, Such as, companies use biometric facial scanners for employee attendance monitoring. Once clients’ identity is verified, it is stored to access check-in and out.
Benefits Of Face Liveness Detection Technology
Companies use biometric face verification processes as per the following core benefits;
1. Automation
Biometric face liveness detection technology offers automated solutions to overcome every kind of fraud attempt and identify clients’ identities.ML and AI robust mechanisms provide quick verification methodology and allow firms a smooth onboarding experience. Automation service enables firms to access clients at any time as it offers 24/7 service and does not require human beings or any time restriction.
2. Cost-effective
Automated face detection and recognition involve less human effort, and the whole process is executed automatically with the help of AI and Ml pre-trained models. It does not need any paperwork and physical storage, thus eliminating the cost.
3. Fraud Prevention
The biometric face recognition process filters our individuals using fake IDs or faded images regarding face verification. Face Liveness detection protects companies from every kind of terrorist attack and enhances business security.
4. ReliabilityÂ
Robust mechanisms employed in liveness detection provide reliable, authentic results. AI and ML algorithms are out of every kind of fatigue or work pressure, so they provide highly efficient results.
Final Words
Face liveness checks use AI and ML technology and provide automated solutions regarding identity verification. It identifies every kind of spoofing attack and protects organizations from data breaches and business damage. It enables firms to have a smooth onboarding process and high business success with enhanced security measures. Face liveness verification keeps fraudsters away and protects companies from heavy transactional losses and reputational damage.
