Facial recognition systems are becoming increasingly prevalent in the technological market, and today it is possible to find this type of technology in smartphones, tablets, and home computers.
However, there are significant differences between facial recognition systems for personal and professional use. For instance, in the former case, the device uses an algorithm to analyze whether the identified face matches the one programmed into the system, and if so, it authorizes a certain process.
In the case of professional facial recognition, to achieve an efficient and secure technology, it is necessary to design a system with high-spec cameras, software, and servers, as in many cases, hundreds of faces will be registered and compared.
How it works and what are the advantages?
For medium to large-scale systems, a VMS (Video Management System) software for facial recognition will be necessary. Typically, this type of software connects to IP cameras over a network and performs continuous monitoring. If a face is identified within the programmed perimeter for recognition, the software will search the database to determine if any action should be taken if the algorithm confirms the face as valid.
With the management of an appropriate VMS software, it is possible to generate various functionalities using all the cameras in the monitored perimeter as a source of surveillance and digital access point.
Today, companies like Axis offer video doorbell solutions that integrate surveillance functions and user recognition with an access controller. The controller is responsible for making the decision to verify whether the user is permitted or not to enter a restricted area.
All of this can help companies control perimeter restrictions effectively, whether by department control, visitor access, etc.
Which cameras should you use?
HD resolution cameras (1080p) are generally the best choice for this segment, as their image capture capabilities are advanced and, consequently, more reliable. However, for this to work effectively, the face must be at a close distance from the camera.
Facial recognition is determined by the number of pixels a camera can support. Axis, which has been working with network camera solutions for many years, recommends that, in an ideal situation, facial recognition should be performed by cameras with a minimum of 6 pixels/cm.
To help you find the right model, below are some camera models available for purchase in our e-commerce that are recommended by Axis for this segment.L
P33 Series
P3375-V (for indoor environments)
P3375-VE (for outdoor environments)
Network video doorbell
A8004-VE (for indoor and outdoor environments)
Finally, in addition to high-spec cameras and a VMS software that performs facial recognition, it is necessary to have a server to host the database and process the information. For this, the importance of a skilled technician in the field is fundamental to ensure the project runs smoothly, without lag or system issues due to insufficient memory and processing power.
