Facial recognition technology Interactive digital signage has been developing constantly, and contribute to the development of the intelligent monitoring system. These systems allow the organization for security purpose monitoring someone or some people, and for different purposes to enhance security, including digital lock, lock and fingerprint sensor patterns.
Especially in the modern smartphone, facial recognition technology has been widely adopted. There are several different face recognition algorithm based on artificial intelligence to identify character expression and provide details.
Every face recognition system to identify digital signage kiosk people's facial features, and converts it to data matrix. Matrix is stored in the database, the data used in the analysis, data driven business decisions and improvement of the security policy.
It is undeniable that facial recognition system has huge demand in different industries. However, enterprises need to advanced facial recognition system to cope with the inaccuracies. The following will discuss how to change the face recognition system, artificial intelligence, first start from the understanding of the principle of operation of facial recognition.
Every face recognition system can capture, digital signage screen identification and analysis model. In addition, it also needs a massive facial data database is analyzed and compared. Facial recognition began in the process of using camera to capture images or video.
These devices can be CCTV cameras, mobile phone cameras or other devices. After image capture, facial recognition software to identify important facial features, such as the distance between the face of the forehead and chin, the distance between the eyes, tip projection, etc. The software can distinguish 68 different facial signs.
Then, on the basis of these marks, creating facial recognition touch screen digital signage matrix. This is a mathematical formula that facial data. Finally, the data with the millions of people already stored in the database information. According to a study, facial recognition software accuracy is 99.97%.
So, what is the relationship between artificial intelligence and face recognition? In order to understand the impact of artificial intelligence for face recognition and its working principle, the following discussion of three basic stages of face recognition.
Artificial intelligence algorithms in the process of identification recognition of these data. The algorithm will be ordered by for large database metadata. However, the function of artificial intelligence is not limited to the image metadata matching with existing metadata. The use of artificial intelligence algorithms used in intelligent monitoring example is unlimited.
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