The craze for face recognition one by one, we have been into the face of the face again and again. However, apart from the fact that only a few companies in the industry have stirred up a little splash, there is no substantial promotion. Even the latest face recognition boot function of a famous fruit mobile phone has become a slot for people to spit. Entering face recognition in Baidu, the first problem is generally that the face recognition exposure system captures uncivilized, face recognition cracks the scenic spot into the park, face recognition quickly recognizes the thief, etc., and the signs show people again. Face recognition is not a strange topic for the public.

We are far from the real-world popularity of face recognition, such as the sci-fi movie in the sci-fi movie. We have a long way to go. Imagine a program so simple that sweeping robots often don’t listen, then the church It is a long and arduous journey for the machine to recognize the face and understand the world.

AI leads the way, security guards, the face is at your fingertips

However, specific to the security industry, specific cooperation scenarios such as large-scale comparison of public security systems, identity check, etc., face recognition and other applications have many successful cases. Compared with the simple static scene, the security market is based on the face photos in the video for long-distance, fast, non-contact key personnel control early warning, and strong controllability.

The original fingerprint recognition was also like face recognition, which was input by taking pictures, but it was popularized with the application of capacitors. Face recognition has a well-established landing plan and supporting hardware facilities in attendance, entrance and exit access control, identity recognition, etc. The industry recognition rate has reached 98%.

Although for the entry and exit management, finance and other departments, it is difficult to retrieve a database of millions of data samples in an industry that requires high face recognition within one second. But the ultimate appeal of face recognition is to confirm identity: answer "Who is he?" "What is he doing?" ","where? ","when? These four questions, so as to solve the problem of "what should be taken" through decision-making reasoning, as long as these are solved, small goals can be achieved.

Algorithms, cloud computing, deep learning, and many other vocabulary in tandem with face recognition make it invisible that the face recognition system is very complicated and expensive. However, after continuous cost accounting and simplification, face recognition can only be done with an easy IPC+NVR. Face recognition with only a few thousand dollars can be brought home.

First of all, the architecture is simple, and only IPC and NVR can be easily set up. So easy!

Secondly, compared with the expensive, hundreds of millions of projects, the face recognition system is specially designed for economical small and medium-sized projects. The same use of SOC technology to face the face comparison function into nvr, compared to the industry generally used expensive servers, another way to effectively reduce costs.

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