Intelligent security access control technology refers to view collection, transmission, storage, video analysis, and big data processing, as well as machine vision, AI chips, algorithms, image sensing, biometrics (face recognition, iris recognition, fingerprint recognition, etc.), and New technologies such as intelligent video analysis, multi-dimensional data fusion, and big data analysis. From another perspective, a complete intelligent security system mainly includes three parts: access control, alarm, and video surveillance. The new crown pneumonia epidemic can hinder the development of the market, but it cannot stop the progress of security technology. This year, major security companies have intensified the application of technologies such as intelligence, networking, and the Internet of Things. With the development and progress of science and technology, current intelligent security has entered a brand new field. S4A predicts the development trend of smart security technology from data collection, video intelligent analysis, biometrics, data intelligence, and parts, and other technologies based on actual product measurements.
Multi-modality is the development direction of biometrics
In the artificial intelligence technology system, biometrics is the first technology to enter the application. Biometric Access Control Systems recognition technology involves many basic sciences and innovative application technologies such as computer science, optics and acoustics, biological sciences, biosensors and biostatistics, security technology, and artificial intelligence technology. It is a complete multidisciplinary Technical solution. Human characteristics currently available for identification include physiological characteristics such as fingerprints, iris, face, palm prints, veins, and behavioral characteristics such as gait, handwriting, and voice. Biometric identification technology has many advantages such as good security, not easy to lose, difficult to counterfeit, and convenient to carry. It is undeniable that from fingerprint authentication, palmprint recognition, finger vein recognition to face recognition and iris recognition, biometric recognition technology is becoming more mature, but it is also entering the "visual" era.
Fingerprint access control recognition is the most "traditional" biometric technology. It has a special status. Compared with face recognition and voiceprint recognition, its recognition accuracy and discrimination are much higher. It can even be said that fingerprint recognition is used in many scenarios. The only feasible way. Starting with a major breakthrough in fingerprint recognition technology in 2018, it has more efficiently promoted the transformation of national social public services and business models. However, with an epidemic in early 2020, the application of non-contact access control technology has been highly valued and developed.
Palmprint recognition is a new type of biometric recognition technology. It uses the palmprint of the human body as the target feature and collects biological information through multispectral imaging technology. Multi-spectral palmprint recognition can be regarded as a model of biometric recognition technology that combines multi-modality and multiple target features. This new technology combines the three identifiable features of skin spectrum, palmprint lines, and veins to provide richer information at one time and increase the distinguishability of target features. At present, the consensus in the industry is that single-modal recognition has bottlenecks in both recognition performance and security, and multi-modal fusion is an important breakthrough in face recognition and even biometric recognition—not only through multi-factor recognition Ways to improve recognition accuracy can also improve the scene adaptability and privacy security of biometric technology to a certain extent. Compared with traditional single-modal algorithms, it can better meet the financial-level misrecognition rate (as low as one in ten million), which is also the main trend in the development of biometrics.
For more details, please refer to the next chapter
Author: Written by Ms ZhangZiJuan from S4A INDUSTRIAL CO.,LIMITED
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