How to choose a face recognition access control system

With the rapid development of the security field, Face Recognition gates are also widely used in the security field. They have already replaced the traditional security system. There is no need to bring keys or access cards. Just swipe your face, which is convenient, fast and easy. Face recognition door For high-end buildings, then how much do you know about face recognition doors.

1. Liveness detection
The live detection function is to determine whether the current recognition area is a living creature, because some people may use photos to fool the machine, and real-time testing can effectively defend against common attacks, such as photos, facial changes, masks, occlusions and screen reloading. map.
There are two types of liveness detection, one is the matching type; the second is the non-matching type. The matching type is that people need to perform specified actions according to their needs, such as blinking, and the unmatched type does not need to perform any action.
Generally speaking, the non-cooperative type can be used without coordination. After all, it is convenient and labor-saving, and people are always lazy, but the non-cooperative type has certain requirements on the hardware and algorithm of the face recognition door.
2. Scenario correspondence

People and scenes are changing, so face recognition gates must take into account external factors, personnel flow, etc. In order to cope with complex environments, the face recognition technology used must support a variety of complex environments, such as strong light , low light, night backlight, etc., and can detect facial positions from various angles, such as front and side.

Only in this way can it meet the requirements of Access Control and improve the efficiency of face recognition access control. If the face recognition door is placed outdoors, the requirements for this function will be very high, when there is strong interference from sunlight, thunder and rain.
3. Algorithm Deployment
Generally speaking, the face recognition algorithm in the face recognition gate will be deployed on the cloud server or locally. If it is deployed in the cloud, the hardware configuration requirements are not high. In order to reduce the hardware cost, the face recognition algorithm can be deployed In the server, the result of this is that face recognition is not possible due to power failure, network disconnection and other emergency situations, data may be lost, the best option is to deploy face recognition locally on the machine Algorithms, even offline, will not affect use, and can also protect local data and avoid data loss.