Face recognition access control cameras have been widely used in recent years, whether it is companies, office buildings, supply parks, community residential areas, schools, public rental housing, construction sites, etc., face recognition access control terminals have no contact with faces. Recognition patterns and intelligent patterns that pass without sense are necessary for social development. So what should you pay attention to when buying face recognition?
1. Define your own access control system requirements
The system is the core part of the device, which determines the failure rate of face recognition access control. The current face recognition access control is mainly developed using two mainstream systems: Android and Linux. The main advantages of the Android system are the low cost of manual development, low technical threshold and fast product development. Compared with the Android system, the development labor cost of the Linux system is high, the technical threshold is high, and the product development cycle is relatively long, but its operation speed, stability and security are relatively prominent. Through comparison, you can choose the appropriate face recognition access control system according to your needs.
2. Independent platform and core algorithm
In fact, the face recognition access control terminal needs to rely on the cloud platform to run. At present, when many manufacturers promote their own intelligent face recognition access control all-in-one machines, they often focus on publicizing and introducing various functions of the hardware, while few platforms are involved. In fact, only the functional integration of software + hardware can play the biggest role in face recognition access control, and it is also very important to have core algorithms. It is the key to the recognition success rate and accuracy, and it is also an important indicator of security protection. Therefore, it is necessary to have a clear understanding of the platform and core algorithm before choosing face recognition access control.
3. The detection mode of the face access control camera – such as: activity detection
Why is the face recognition successful in photos or videos sometimes?
This is because the camera has no activity detection function. Liveness detection is to determine whether there are living creatures in the current recognition area, because some people may fool the machine with photos, and real-time monitoring can defend against common attacks.
Biopsy is also divided into two categories, one is matched type and the other is mismatched type.
“Matching type” refers to matching actions, such as blinking to detect whether it is alive, while “mismatching type” does not. The mismatch type can automatically identify whether it is a living creature without cooperation. In comparison, the mismatch type is more convenient.
4. Adaptation scenarios of face recognition access control – scenario correspondence
Due to the variability of people and scenes, face recognition access control must consider external factors, personnel flow, etc. Such as strong light, low light, night backlight and other complex environments.
In addition to the stability of the “system”, a good face recognition access control can also ensure normal use in special situations such as strong backlight, weak light, night, rain and fog. Face recognition is often used outdoors in conjunction with turnstile gates such as tripod turnstile, flap barrier and speed gate, under direct sunlight, so it must have the ability to accurately recognize backlight and very strong light. Also used with pedestrian turnstile gates in slightly darker places indoors. At this time, the face recognition device also needs to recognize the face under low light, and the device with low recognition rate often lacks this ability, resulting in recognition error.
5. Whether there is a personalized service
If you plan to connect the face recognition device to your own platform or software, then you need to see whether the company has the ability to open interfaces and customize. After all, different projects have different needs and uses for “face recognition access control” equipment. Therefore, when selecting a device, it is necessary to have a detailed understanding of the interface documentation on the device software. If the interface documentation of the device is incomplete or even absent, even if the device is of good quality, it cannot meet the needs of the project party in actual use.
