How to make a face recognition status chart template

Domestic Face Recognition Access Control Attendance market share and shipments, preferably with charts.

Current face recognition access control solutions consist of two main components: access control systems, gate systems and other systems. Access control system is the major system type for face recognition systems, which accounted for 72.5% of the global share in 2019. With the future growth of system types, there is a huge market potential for all types in face data matching.

The global face recognition access control solutions market reached $6.8 billion in 2019 and is expected to reach $16.6 billion by 2026, at a compound annual growth rate (CAGR) of 15.9%.

Benefiting from China’s construction of “Safe City” and “Smart City” in recent years, China’s security industry has maintained steady growth. 2018, with county, township and village comprehensive governance centers as the command platform and public security video surveillance as the focus of the network application, the mass public security security industry will continue to grow. The mass security prevention and control project “snow bright project” focusing on networking application was written into the central No. 1 document, and clear by 2020 to realize the development goal of “full coverage, full network sharing, full time available, full controllable”.

“Snow bright project” to promote the security industry in the field of video surveillance market size of explosive growth, greatly stimulating the demand for high-definition cameras, face recognition access control products. As a result, artificial intelligence devices represented by face recognition are rapidly gaining popularity and realizing commercial applications in the security field.

Face recognition access control recommended Jieyi Technology, independent research and development design products, the company’s products have been certified by the Ministry of Public Security, CE certification, FCC certification, RoHS certification and software registration rights, trademark registration, high-tech enterprise certification, honorary certificates. The company has independently realized the complete closed-loop system of “AI algorithm + embedded software + hardware manufacturing”, and provides high-performance products for well-known customers at home and abroad with OEM/ODM.

How to do face recognition

The steps and methods to do face recognition are as follows:

1. Realize the method code to enable getUserMedia; realize the method code for video video processing.

2. Implement the method code for adding gotStream processing.

3. Method code that implements the add video video processing.

4. Implement the method code to add snapshot.

5. Implement the method code to add face recognition processing.

Difference between face swipe technology and other biometrics?

Difference between face swiping technology and other biometrics? With the improvement of algorithms, biometrics technology has made significant breakthroughs in more and more areas across the threshold of user acceptance, and its market is rapidly exploding. Among them, the domestic market size of face recognition is expected to reach the level of hundreds of billions in the next five years. Biometric identification refers to the close combination of high-tech means through computers and optical, acoustic, biosensors and biostatistical principles, the use of the body’s inherent physiological characteristics to personal identification technology. Compared with the traditional way of password inspection, biometric technology based on the biological characteristics of human beings, with easy to measure, exclusivity and lifelong invariance, has the advantage of rapid inspection and more accurate results. Currently the mainstream biometric identification methods are fingerprint identification, iris recognition, voice recognition, vein recognition and face recognition.  Compared with other biometric identification methods, face recognition has the advantages of naturalness and undetectability. Naturalness means that the recognition method utilizes the same biometric traits as those utilized by human beings for individual recognition. Fingerprint recognition, iris recognition, etc. are not natural. The undetectable characteristics of this identification method are not easy to resist, while fingerprint recognition or iris recognition requires the use of electronic pressure sensors or infrared light to collect fingerprints and iris images, which is not a good experience in the collection process. The current challenge that needs to be solved for face recognition is how to ensure the recognition rate in different scenarios, face masking and other applications. In addition, privacy and security are also issues worth considering.  

Chart 1: Comparison of the performance of five biometric technologies

Face recognition has obvious advantages, and will become the dominant recognition technology in the future. Compared with fingerprint recognition, iris recognition and other traditional biometric identification methods, the advantages are still mainly focused on four points: non-contact, non-intrusive, perfect hardware foundation and collection of fast and convenient, expandable. In complex environments, face recognition accuracy problems have been solved, we expect that face recognition is expected to quickly replace fingerprint identification to become the mainstream identification technology for large-scale application in the market.

Chart 2: Advantages of face recognition

Face recognition is mainly divided into 1:1, 1:N and M:N three modes according to the different applications of the recognition method:

Chart 3: Three different recognition modes of face recognition