With the rapid development of AI intelligence analysis and Internet of Things technology, on the one hand, the amount of Internet data shows exponential growth, AI and IoT integration; On the other hand, the data that needs to be processed in real time is rising rapidly, and the data processed in the cloud has to sink to the edge. Nowadays, with the mature of face recognition technology, “brush face” gradually become the main area of biological recognition technology applied in the new period, whether in customs clearance, areas such as finance, telecommunications, notarization need to consistency validation scenarios and certificates, or traffic, public security, building, and community in the areas of security monitor scene, we all can be found in the figure of face recognition.

In order to cater to and meet the modern market demand, it has become a market trend to provide multiple protocols (such as RTSP, RTMP, GB28181, HIkang/Dawa SDK, Ehome, etc.) for device access, acquisition, AI intelligent detection and recognition, processing, distribution and other services. AI detection and capture recognition can be performed on people, cars, and objects in video surveillance scenes, and intelligent reminders and pop-up notifications can be performed on abnormal situations.

At present, intelligent edge gateway face recognition can be applied to a variety of scenarios:

1 face recognition in the application of urban security

Face recognition is widely used in the city, can be used in stations, airports and other public places, can effectively monitor suspects and lawbreakers, can real-time monitoring of public facilities, to ensure that public property is legally protected, at the same time can play a deterrent role, reduce the occurrence of criminal incidents.

2 face recognition in the application of attendance

Face recognition technology is combined with the attendance machine, which can be used not only in the office, but also in schools and examination rooms. The use of face attendance machines will reduce the production cost of employee and student cards, and it is more convenient than fingerprint clocking.

3. The application of face recognition in residential areas

Most of the community as a result of the entrance guard is not rigorous, security personnel review is not in place, often put some lawless elements, such as: thief, human traffickers, trouble to beat people, which are dangerous to the owners of the community. After the installation of face recognition equipment, in and out of the area does not need to swipe card or let security personnel check, can free hands, simplify the workload of security personnel, and efficiency will be more efficient than before.

4. Application of face recognition in epidemic prevention and control

Although the epidemic is slowly passing, the number of imported people is still large, so the prevention of the epidemic cannot be relaxed. If mask identification equipment is installed in customs, airports, shopping malls, business offices and other places where people gather, it will play an important role in epidemic prevention and control. The device uses face recognition technology to detect whether people passing by are wearing masks, and those who do not will be reminded or rejected. This can not only prevent and control the epidemic, but also reduce the epidemic prevention and control work, with high efficiency and economy.

5. The application of face recognition in shopping malls

Face recognition can detect and analyze face, but also can statistics flow, age, male and female ratio data, if there is member data provided, face analysis can also analyze the ratio of members and new customers, with the support of these data, shopping malls will be able to better grasp the user age, gender and other positioning; According to these data, the mall can adjust products and locate new products in time. It can also inspect stores in real time to check daily sales.

In general, intelligent edge gateway face recognition technology has been widely used in the above industries, but not limited to these industries. In the future, we will continue to work deeply in the field of AI intelligent recognition. For example, vehicle recognition, vehicle model, license plate, color, vehicle flow statistics and other functions will continue to be released. These functions will also provide intelligent convenience for all walks of life and provide more intelligent identification services for the society.