1. Check whether the face recognition boom barrier gate system has the function of living body detection
The live detection function, as the name suggests, is the function of judging whether the current person is a living body. Some people may use photos to fool the machine, and liveness detection can effectively defend against common attacks such as photos, face changing, masks, occlusions, and screen remakes. In vivo detection can be divided into cooperative and non-cooperative types. Cooperative means that people must perform specified actions on demand, such as blinking an eye, while non-cooperative people do not need to perform any action.
2. See if the face recognition boom barrier gate system can cope with complex scenes
Scenes and people are changeable, and the face recognition gateway system must be able to take into account unexpected situations such as environmental changes and personnel changes. In order to cope with complex environments, the adopted face recognition technology must support a variety of complex environments such as strong light, low light, and dark night backlight, and can detect the face position of the front face, side face and other angles. Only in this way can the needs of access control be met and the efficiency of the face recognition system be improved.
3. See if the face recognition boom barrier gate system can be upgraded on the old boom barrier gate system
At present, the access control system has gone through more than 20 years of development, and the access control system in shopping malls, units, communities, subways and other places is almost ubiquitous. It can be said that the traditional gate system has covered a large area in China. The ability to directly upgrade the old gate system to an adult gate system can not only save the expensive cost of replacing the entire gate system, but also save materials and protect the environment.
4. See whether the algorithm of the face recognition boom barrier gate system is deployed locally
Generally speaking, the face recognition algorithm in the face recognition gateway system will be deployed on the cloud server or locally. The face recognition algorithm is best deployed locally on the machine. Even if it is offline, it will not affect the use. It can also protect local data and avoid data loss.
Contact Person: Mr. sam