Needless to say, facial recognition has become more popular and widespread, with applications in various fields. The most important component in facial recognition is the camera, which should be selected and installed properly to achieve maximal results.
Deployment of facial recognition has been increasing at steady rates. According to a recent study by MarketsandMarkets, the global facial recognition market is expected to grow from US$3.2 billion in 2019 to $7 billion by 2024, at a CAGR of 16.6 percent during the forecast period.
Among the various components in facial recognition, perhaps the most important one is the camera, which captures the face. An algorithm then is used to create a face print, which is then matched against a database of stored images.
Facial recognition algorithms are software, which can be inside the camera or on a backend server. It’s important to note that the camera is simply a capturing tool. “Primarily, a camera is just an end device. Instead, look at what is connected to the camera and how that information is being processed. Facial recognition is more of a software thing. The camera gathers the facial information, sends it to a computer to be processed, and an access control decision is made. All information is gathered on the camera, but it has to be processed somewhere,” said Dominic Burns, President and CEO of AC Technical Systems, a systems integrator based in Ontario, Canada.
Read the full article at ASMag.com.