Liveness Detection: A Robust Solution for Enhancing Security

A crucial step in the identity verification process is liveness detection, which distinguishes between a phony identity and a real person to identify deepfake or identity theft assaults. Every day lives are using 3D liveness detection more, particularly while using smartphones to verify our identities. Liveness checks are used for identification verification in a variety of industries, including law enforcement, security control, healthcare, entertainment, and financial institutions, due to their accuracy and effectiveness.
The concept of liveness detection was originally used in the 1900s by British scientist Alan Turing, who evaluated machine learning algorithms and their intelligence to detect liveness. Additionally, he assessed how well computer algorithms could mimic human responses and concluded that human traits and responses could be replicated. There are two types of liveness detection, active liveness and passive liveness.
Techniques Involved in the Technology
Four major technologies are being used for liveness checks in many institutions. These include visual techniques, audio-based verification, thermal sensing, and behavioral checks.
- Visual Technique
This technique includes face recognition, eye movement verification, and verification of blink, smile, and head. Face recognition is the most widely used technology in many institutions. It detects the faces and allows access to the legitimate person.
- Audio-Based Verification Method
This detection is done while using the voice of a person. It verifies the speech by evaluating several aspects such as pitch, pauses, and so on. Besides, there is another method of detection that is sound-based. In this, the system observes the natural sounds that are produced while breathing and talking. The system can easily detect these sounds that can’t be made by an AI.
- Thermal Sensing
In this process, the system observes whether the individual in front of the camera emits the natural body heat. The heat can only be emitted by the human being and not the AI-generated body. This evaluation can be done in a place where the normal process is not applicable for the verification.
- Behavioral Analysis
This analysis includes gait checks and typing evaluation. Some specific movements are natural and are unique for each individual. Besides, the walk also varies from person to person.
What is Document Liveness Detection Technology?
Document liveness check ensures the document’s authenticity for the individual verification system or process. Here are some of the advanced methods:
- OCR with Liveness Detection
The Optical Character Recognition system combines with Liveness check technology. It is used to confirm dynamic features such as holograms, microtext, or dynamic security designs.
- Micro-Movement & Light Pondering Analysis
This process uses fine movements and light pondering to check the documents whether it is held by a real individual.
What are the Technologies used in Document Liveness Detection?
- Real-Time 3D Photograph Verification: Using real-time scanning and 3D photographic data to check the documents.
- AI-Powered Ornamentation Recognition: These are the advanced AI algorithms to check faked designs and anomalies.
Implementations of 3D Face Liveness detection
The integration of 3D models with facial recognition systems is currently the main focus of vendors of facial biometric verification solutions. This will improve the user experience overall and increase the system’s accuracy in identifying active and passive liveness. It will also speed up the process. 3D Liveness check helps boost a customer’s confidence and trust in the KYC procedure after the user has been granted permission for verification. Let’s see how 3D Liveness check is used in various industries.
- 3D Liveness check can improve a bank’s, financial institution’s, or cryptocurrency exchange’s KYC (Know Your Customer) process. Additionally, it can improve the entire KYC cycle, which includes continuous consumer activity monitoring via 3D security cameras.
- One growing concern is preventing identity fraud on e-commerce platforms. To stop it, a 3D liveness check can be used to quickly and accurately check e-commerce consumer profiles and distinguish between legitimate customers and scammers.
- To confirm government officials’ identities while upholding a high degree of secrecy, Secret Intelligence services and other government organizations employ 3D liveness checks.
Limitations Faced During the Process
To detect spoofs, this technology has advanced too far. However, several obstacles may potentially impact its effectiveness. Unsuitable lighting is one example of an environmental element that could negatively impact the verification process. It might occasionally be challenging to confirm the identity due to the surrounding noise. Furthermore, sensors aren’t very smart at spotting spoofs. A large percentage of false rejections could arise from this. Additionally, some biometric systems are slow and take two or more tries before detecting the spoof. Users may become irritated and waste time as a result.