Intelligent security technology refers to the collection, transmission, storage, video analysis, and big data processing of the view, as well as involving machine vision, AI chip, algorithm, image sensing, biometrics (face recognition, iris recognition, fingerprint recognition, etc.) and fingerprint recognition) Smart video analysis, multi -dimensional data fusion, big data analysis and other technologies. From another perspective, a complete intelligent security system mainly includes three major parts: access entrance, alarm and video surveillance. The new coronary pneumonia's epidemic can hinder the development of the market, but it cannot stop the progress of security technology. This year's major security companies in major security companies in intelligence, networking, and Internet of Things have deepened. With the development and progress of science and technology, the current intelligent security defense has entered a new field. According to the actual measurement of the product, A & S has predicted the development trend of intelligent security technology from technologies such as data collection, video intelligent analysis, biometrics, data intelligence, and components.
Human characteristics that can be used for identity recognition include fingerprints, iris, facials, palm lines, veins and other physiological characteristics and gait, handwriting, sound and other behavioral characteristics. Biological characteristics recognition technology has many advantages such as good safety, not easy to lose, difficult to imitate and carry convenience. It is undeniable that from fingerprint authentication, palm line recognition, intravenous recognition to human face recognition, iris recognition, biometric technology becomes more mature, and is also moving into the "vision" era. Sixve involved security area when we start established time, and cooporated with many expertise for security engineering
The underlying components of intelligent security applications have begun to become systematic and integrated, and they are also improving the overall performance of the hardware system of the monitoring system itself. AI chips, sensors and other basic hardware and algorithm software are integrated, allowing products to make customized development according to different business algorithms. The current AI chip manufacturer has been developed in the direction of computing power and algorithm integration, that is, designing the AI chip architecture based on a specific scene algorithm to apply more efficiently to the scene business.
In the visual security monitoring system, the CMOS image sensor is the core role. In order to better AI intelligent applications, CMOS image sensors need to be targeted from imaging design. From the past few years of imaging technology manufacturers, the special security CMOS sensor products launched by imaging technology manufacturers, due to the impact of various factors such as scene environment, lighting, and temperature, the design of CMOS image sensors has also begun to enter "scene customization" At the stage, the products applied to different application scenarios are different.