Swift development of artificial intelligence has being pushing revolutions in all walks of life, and the function of data is crucial. In the training process of AI models, high-quality datasets are like fuel, directly determines the performance and accuracy of the algorithm. With demand soaring for intelligence, various datasets have gradually become core resources for research and application.

The multi-modal biometric system market is growing rapidly.

Due to ever-changing needs, the single-modal biometric identification cannot support complex and diversified identity verification scenarios. Many companies are trying to expand a single biometric system into multi-modal biometric products and solutions to meet diversified needs.

Compared with traditional biometric technology, multi-modal biometric technology is more complex and diverse. It can realize the combination of fingerprint recognition, face recognition, iris recognition, voiceprint recognition and other biometric technologies. The multi-modal biometric system can overcome some of the limitations of the single-modal biometric system. Integrating multiple biometric modes in a single scan can relieve the pressure of a single-modal system. Meanwhile, a combination of multiple biological identification methods can effectively reduce identification errors and better ensure safety.

In the post-epidemic era, the combined application of multiple biometric technologies for multi-modal biometrics is more flexible, allowing us to choose appropriate combination methods based on different application requirements and scene changes. This will surely become the development trend of the new generation of biometric technology.

Wide range of application scenarios for multi-modal biometric technology

In the financial industry, multi-modal biometric technology has been implemented earlier, mainly because it has excellent performance in security, wide-application, experience-friendliness and data management, which can effectively reduce financial fraud and protect user’s information and data security.

In the field of video analysis, multi-modal biometric technology can quickly find out a segment of an actor in a video or program, even without the adjustment of playing speed.

Multi-modal biometric data solution

In order to support the innovation of multi-modal biometric technology, Nexdata has developed the datasets “156 Hours — Lip Sync Multimodal Video Data”. Nexdata strictly abides by relevant regulations, and the data is collected with proper data collection authorization agreement.

156 Hours — Lip Sync Multimodal Video Data

Recording Environment: Using quiet sunny room to stimulate daytime outdoor driving scenes, signal to noise ratio 25~20dB

Recording Content: Short signals and spoken sentences

Recording Angle: Recording videos of front face, single side face, looking up, looking down, side face looking down and side face looking up all 6 different angles, and proximal and distant audio at the same time

Accuracy : Accuracy of sentence should not below 95%

In addition, Nexdata also supports personalized data collection and annotation services in the field of multi-modal recognition, such as 3D face, liveness detection, gestures and gait etc.

Multi-modal biometric technology will play an important role in the future application of biometric technology. However, the development of multi-modal biometrics technology is facing many challenges, and enterprises in the industry need to work together to promote the commercialization and large-scale application of multi-modal biometrics technology.

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Data is the key to the success of artificial intelligence. We must strengthen data collection methods and data security to achieve more intelligent and efficient technical solutions. In a rapidly developing market, only by continuous innovate and optimize of artificial intelligence can we build a safer, more efficient and intelligent society. If you have data requirements, please contact Nexdata.ai at [email protected].