Facial recognition is already integrated in Sigur. To use this functionality, you do not need to have any special equipment: in most cases, almost any IP camera and an up-to-date PC will be enough.
In recent years, facial recognition technology has changed drastically. Today, it is widely used in various areas of our lives. This technology is not resource-intensive and it is accurate enough to be used in security systems.
In Sigur, facial recognition functionality is implemented based on 2D recognition technology using neural networks.
Sigur uses facial recognition to automatically identify cardholders at access points. The facial recognition feature captures the cardholder’s face from the video and compares this picture with the database of cardholders’ photos stored in the ACS.
The video stream can be obtained from IP cameras directly connected to the system. The same cameras can be used as a video surveillance system of the site.
Identification In this case, the cardholder’s face is the only parameter that the system relies on in whether to grant access or not. It is the most convenient mode as it does not require any additional actions on the part of the cardholder.
Verification In this case, this biometric parameter serves as an additional identification means. Other credentials such as a proximity card can serve as the primary identification means. There are two types of the verification mode:
The system provides flexible configuration options in the identification mode with the option to set up:
As with any other biometric identification technology, facial recognition is not 100% accurate and has a number of limitations of use. The identification mode will operate accurately only with a limited number of faces in the PACS database—up to 1,000. The accuracy of the system also depends on:
For the recognition system to work, any up-to-date PC and any IP camera will suffice. E.g. the system operating in a 4-channel mode requires Intel Core i7 and at least 8GB RAM.
